#Bio-informatics Tools

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Genomics Market - Forecast(2024 - 2030)

Global Genomic Market Overview:

A genome is the genetic material of an organism. It includes both the genes and the noncoding DNA, as well as mitochondrial DNA and chloroplast DNA. The study of genomes is called genomics. The genomics market is gaining traction owing to its applications in various fields of study such as intragenomic phenomenon including epistasis, pleiotropy, heterosis, and other interactions between loci and alleles within the genome. In this era of medical and life science innovations shaping itself as an inevitable uptake for sustainability of mankind, the genomic research is poised for exponential growth owing to imperative genetic innovations feeding off it. Abundant potential has driven this arcade to reach a staggering market size of $16 billion - $16.5 billion as of 2018, and the demand is estimated to increment at formidable CAGR of 9.2% to 10.2% during the forecast period of 2019 to 2025.

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Global Genomic Market Outlook:

Genomics is extensively employed in healthcare, agriculture, biotechnology, DNA sequencing, and diagnostics. In the healthcare segment, genomics is used for the development of vaccines and drugs. This segment leads the application vertical and is growing with a CAGR of 10.1%-10.7 % through to 2025. Genomics plays a significant part in diagnosis of several genetic disorders. It has an ample scope in personalized medication as it can advocate a medical management constructed on the genetic face of a person with the help of clinical data and AI.  It is also applied in synthetic biology and bioengineering. Genomics research in agriculture is hired for plant breeding and genetics to cultivate crop production. The understanding of gene function and the accessibility of genomic maps along with an enhanced understanding of genetic variant will aid the plant breeders to identify the traits and then manipulate those traits to obtain a high yield. All these factors affecting the enormous medical and agricultural sector are all set to stroke the genomics market with abundant demand.

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Global Genomic Market Growth Drivers:

As per the National Center for Biotechnology Information, U.S, the progression in oncology (study and treatment of tumor) expenses is forecast to rise 7%–10% annually throughout 2020, with universal oncology cost exceeding $150 billion[1]. As per the WHO, cancer is a leading cause of death worldwide, accounting for an estimated 9.6 million deaths in 2018[2]. And the total annual economic cost of cancer at the initial period of this decade was estimated at approximately $1.16 trillion. Thus the application of genomics in exploring cell-free circulating DNA by several R&D sectors as a potential biomarker for cancers is driving the market towards exponential growth. The genomics market with its current potential displays all the necessary traits it can adapt in the coming years to divert a huge chunk of traffic and revenue from the omnipresent cancer diagnostics.

As per the Food and Agriculture Organization of United Nations, between 1960 and 1990 the arable land increased by 1.5 billion ha, and in the recent past decades the elevation recorded is just 155 million ha[3]. With decreasing arable floor and the increasing global population augmenting the demand for food by 70% (by 2050), obtaining a high yield is a major trend in the agricultural sector. Genomics market is all set to capitalize on this unprecedented demand scenario. Genomics supplements the understanding of gene function and the accessibility of genomic maps along with an enhanced understanding of genetic variant, thus aiding the plant breeders to identify the traits and then manipulate those traits to obtain a high yield.

After an acute analysis of the regional insights of the global genomics market, North America is revealed to hold 39% to 40% of the entire global market size as of 2018. Such dominance can be attributed to several aspects such as cumulative investment on research by federal administrations, growing patient awareness, and accessibility of urbane healthcare facilities.

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Global Genomics Market Players Perspective:

Some of other key players profiled in this IndustryARC business intelligence report are Beckton Dickson, Synthetic Genomics Inc. (SGI) ,Cepheid, Inc., Affymetrix, Inc., Bio-Rad Laboratories, Inc., Agilent Technologies, GE Healthcare, Illumina, Inc., Danaher Corporation,F. Hoffmann-La Roche, QIAGEN, Thermo Fisher Scientific and PacBio (Pacific Biosciences of California). Majority of the companies mentioned are situated in North America augmenting the regional affluence in the global market.

Global Genomics Market Trends:

High overload owing to a wide range of reagents and consumables has propelled companies into approving different policies to endure in the market and stay ahead of the curve.

For instance, in January 2017, BD launched Precise WTA Reagents for precise and guileless quantification of hereditary data form single cell analysis. Moreover, in July 2016, SGI-DNA entered into a distribution agreement with VWR International, an American company involved in the distribution of research laboratory products, with over 1,200,000 items to more than 250,000 customers in North America and Europe.

Genomics Market Research Scope

The base year of the study is 2018, with forecast done up to 2025. The study presents a thorough analysis of the competitive landscape, taking into account the market shares of the leading companies. It also provides information on unit shipments. These provide the key market participants with the necessary business intelligence and help them understand the future of the Genomics Market. The assessment includes the forecast, an overview of the competitive structure, the market shares of the competitors, as well as the market trends, market demands, market drivers, market challenges, and product analysis. The market drivers and restraints have been assessed to fathom their impact over the forecast period. This report further identifies the key opportunities for growth while also detailing the key challenges and possible threats. The key areas of focus include the types of equipment in the Genomics Market, and their specific applications in different phases of industrial operations.

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Genomics Market Report: Industry Coverage

Types of Solutions Genomics Market:

By Product Types- Microarray chip, Sequencers.

By Application- Genotyping, SNP analysis.

By End-User- Anthropology, Diagnostics.

The Genomics Market report also analyzes the major geographic regions for the market as well as the major countries for the market in these regions. The regions and countries covered in the study include:

North America: The U.S., Canada, Mexico

South America: Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, Costa Rica

Europe: The U.K., Germany, Italy, France, The Netherlands, Belgium, Spain, Denmark

APAC: China, Japan, Australia, South Korea, India, Taiwan, Malaysia, Hong Kong

Middle East and Africa: Israel, South Africa, Saudi Arabia

[vijaysethupati]

"Breaking Boundaries: Integrative Approaches in Modern Clinical Research"

The world of clinical investigation has never stood still, yet the past decade has witnessed an unmistakable surge of cross-disciplinary collaboration. Genomic sequencing rubs shoulders with behavioral science; data science tools mingle with bedside observations. This new era—sometimes simply labeled “integrative clinical research”—is less about erecting fresh silos and more about opening every door in the laboratory wing.

One can trace this momentum to three converging forces. First, patients themselves have become informed partners, demanding studies that mirror real-world complexity. Second, regulators now encourage adaptive designs that adjust mid-stream, replacing the rigid protocols of yesteryear. Third, the explosion of low-cost digital sensors generates torrents of longitudinal data—an irresistible lure for curious epidemiologists and machine-learning enthusiasts alike.

Yet headlines alone do not move a field forward; people do. Whether you are a nurse looking to add research responsibilities, a pharmacist curious about trial design, or a fresh graduate scanning the horizon for the best course of clinical research in pune, today’s curriculum has evolved. No longer is a classic clinical research course limited to consent forms and blinding techniques. Modern syllabi weave ethics, informatics, and community engagement into a single cloth—and they do so precisely because the studies you will soon manage now stretch across that wide terrain.

Why “Integrative” Matters

Statistically robust does not always equal clinically relevant. By blending quantitative models with qualitative patient-reported outcomes, investigators ground their numbers in lived experience.

A single clinical trail—yes, even one focused on a narrow biomarker—often intersects with nutrition, lifestyle, and mental health. Integrative frameworks prevent these threads from unraveling in isolation.

Industry sponsors increasingly favor hybrid trial designs that merge traditional site visits with decentralized, app-based data capture. Teams trained in multiple domains are best equipped to shepherd such studies from proposal to publication.

Hallmarks of an Integrative Study

Adaptive Protocols Interim analyses steer recruitment toward sub-populations that show hint-of-benefit signals, trimming both cost and patient burden.

Multilayer Data Fusion Electronic health records feed directly into trial databases, where they mingle with wearable-device metrics, social-determinant indices, and even environmental exposure maps.

Community-Engaged Recruitment Local advocates help craft culturally sensitive messaging, ensuring that underserved voices influence endpoint selection—not merely the informed-consent template.

Ethics by Design With real-time data streaming in, privacy safeguards become dynamic, updating as software versions change rather than waiting for an annual audit.

Preparing Yourself: Courses That Reflect Reality

If you type “clinical research course” into any search bar, hundreds of results appear, but only a handful truly embrace this integrative ethos. The syllabi you should keep an eye on tend to include:

Systems Biology & Bio-informatics: Because mechanistic insights now arise from omics platforms as often as from PET scans.

Regulatory Science for Adaptive Trials: Master the language of pre-specified decision rules and Bayesian stopping boundaries.

Digital Health Analytics: Learn to wrangle high-volume, high-velocity data generated outside brick-and-mortar clinics.

Stakeholder Engagement Workshops: From patient advisory boards to community ethics panels, soft skills become hard necessities.

Among Indian educational hubs, Pune has quietly carved out a reputation for nurturing such forward-looking programs. Institutions there routinely invite industry guest lecturers who unpack real case studies—complete with the messy spreadsheets and conflicting signals that textbooks polish away. If your goal is to enroll in the best course of clinical research in pune, scrutinize how each institute integrates biostatistics with qualitative methods and whether they offer hands-on exposure to artificial-intelligence-driven protocol design.

Peering Over the Horizon

Integrative approaches are not a trendy garnish; they are fast becoming the entrée of every well-designed study. Consider oncology, where genetic sequencing informs immunotherapy regimens even as psycho-social support modulates adherence. Or take cardiology, in which remote heart-rate telemetry joins forces with neighborhood-level pollution data to predict arrhythmia flares. Each new clinical trail tests not only a molecule but an ecosystem of interventions.

The moral? Tomorrow’s research leaders will speak several dialects—statistics, coding, ethics, communication—and switch among them without missing a beat. Classrooms that insist on this polyglot fluency are the powerhouses shaping the next chapter. Choose wisely, learn voraciously, and be prepared to break a few boundaries of your own. Clinical research course by pcrti

[literaturereviewhelp]

Virtual Laboratory and Learning Process   Introduction   Virtual laboratories are a solution to meet the challenges in higher education like lack of resources, scarcity of good teachers and sharing of costly resources between institutions. Many biotechnological experiments can be easily performed and explained using virtual laboratories in an effective manner. With the arrival of internet and computer technology in modern education, limitations like distance and costly instruments are no more a hurdle. Biotechnology, biomedical engineering and bio informatics which are some of the most relevant subjects in biology are most benefitted from internet and its associated technologies. Topics from these spheres of biology which are difficult to comprehend is simplified and illustrated in virtual laboratories. Moreover this enables remote operation of the same experiment by the student either simultaneously or at a different time. Virtual Laboratory Experiments through the web stimulate the interest and curiosity of the student thus providing opportunity for learning advanced concepts through remote experimentation. Different experiments in biology are dealt in virtual laboratories with the same feel and originality as in a real laboratory. The theory and procedure of the experiment is well described and the steps demonstrated through animation makes learning easy and more intelligible. Most of the equipments used in labs have computer interface and data storing. Through the virtual laboratory it is possible to provide the result of the experiment to the the student through the computer interface. A topic like ‘genetic testing of cancer’ can be interestingly articulated and expressed by using the virtual laboratory. Virtual laboratories are an effective tool in distance education. It circumvents the difficulties in setting up a traditional laboratory with many expensive equipments and instruments. Like a real laboratory, various components are necessary for setting a virtual laboratory. They are roles, hardaware, software, network services and different activities. The roles mean the roles of the instructor and the learner. The hardware aspect includes the various physical experimental equipments and the software includes teaching functions and learning functions. As Benmohamed et al (2005) (as cited in Jin, 2011) points out, since virtual laboratory is a ramification of distance learning this requires network capabilities and services for networking purposes. And thus the instructor and learner communicate through the internet (p. 16). Genetic testing for cancer is nothing but detecting the presence of cancerous genes in advance to prevent its occurrence by people who have a family history of cancer. Through a virtual laboratory, this topic can be cleanly delivered by explaining how genes play an important role in cancer development, what are genes, what is gene mutation. The role of mutation in the development of cancer, the different type of cancer related genes and their inheritance, the various test involved in detecting cancer etc. As described in the National Cancer Institute’s website, the virtual laboratory should give a brief idea about who are the persons at risk and the necessity of screening test by them, the need of genetic counseling, the psychological risks of knowing the result, the risk of passing the mutation, how the test is performed, how the result of the test can be interpreted and the ongoing research done in genetic test of cancer. Read the full article

[visionaryvogues03]

Bioinformatics and the Future of Genetic Engineering

The future of genetic engineering holds immense promise, with the potential to transform industries ranging from healthcare and agriculture to environmental sustainability. At the heart of this transformation is bioinformatics—a field that combines biology, computer science, and information technology to analyze and interpret complex biological data. As genetic engineering technologies like CRISPR and synthetic biology continue to advance, computational biology is playing an increasingly vital role in enabling these breakthroughs.

Understanding Bioinformatics in the Context of Genetic Engineering

Before delving into the future of genetic engineering, it’s important to understand the role systems biology plays in this space. Bio-data science involves the use of computational tools and algorithms to manage, analyze, and visualize biological data, such as genomic sequences. This allows researchers to make sense of the vast amounts of data generated by sequencing technologies and understand the underlying biology of genes and proteins.

In the context of genetic engineering, bioinformatics enables scientists to design and test genetic modifications with greater precision and efficiency. By providing insights into the structure and function of genes, systems biology helps identify potential targets for modification, predicts the outcomes of genetic alterations, and ensures that these changes do not have unintended consequences. Essentially, genetic informatics acts as the bridge between raw genetic data and practical, actionable applications in genetic engineering.

How Bioinformatics is Transforming Genetic Engineering

1.Precision and Accuracy in Gene Editing

One of the most exciting developments in genetic engineering is the rise of gene-editing technologies like CRISPR. These tools allow scientists to precisely alter the DNA of living organisms, offering unprecedented opportunities for medical and agricultural advancements. However, the success of gene editing depends on the ability to identify the correct target genes and make modifications with high accuracy.

Bioinformatics plays a critical role in this process by providing the computational tools needed to map entire genomes and pinpoint genetic sequences that are associated with specific traits or diseases. Advanced algorithms can predict which genes are most likely to respond to editing and ensure that modifications are made without off-target effects. This not only increases the success rate of genetic engineering experiments but also reduces the risk of unintended consequences that could arise from poorly executed gene edits.

2.Enhancing Precision Medicine

Bioinformatics is helping to unlock the potential of personalized medicine, a field that is closely tied to genetic engineering. By analyzing individual genetic profiles, systems biology allows doctors to tailor treatments based on a patient's unique genetic makeup. In the context of genetic engineering, this means that future therapies could be customized to correct genetic mutations or enhance an individual's natural resistance to diseases.

For example, gene therapies could be designed to target specific mutations that cause conditions like cystic fibrosis or sickle cell anemia. Bioinformatics can help identify the exact genetic cause of these diseases and guide the development of treatments that can edit or replace faulty genes in patients’ cells. This shift toward personalized, gene-based treatments is one of the most promising aspects of genetic engineering, and genetic informatics is the driving force behind this evolution.

3.Accelerating Agricultural Innovation

Bioinformatics is also playing a significant role in advancing genetic engineering in agriculture. Through the use of genomic data, computational biology tools can help identify genes responsible for desirable traits in crops, such as drought resistance, pest resistance, and higher nutritional value. Genetic engineering can then be used to transfer these beneficial genes into other crops, improving their yield and resilience.

For example, systems biology can help identify the genetic basis of resistance to diseases like rust in wheat or blight in potatoes. This knowledge can then be used to create genetically modified crops that are more resistant to these diseases, reducing the need for chemical pesticides and ensuring food security in the face of climate change. By integrating systems biology with genetic engineering, agricultural companies can create crops that are not only more productive but also more sustainable.

4.Synthetic Biology and Custom Organisms

Another exciting frontier in genetic engineering is synthetic biology, which involves creating entirely new organisms or redesigning existing ones for specific purposes. Bioinformatics is crucial in this field, as it allows researchers to model and design complex genetic circuits that control the behavior of synthetic organisms. Through systems biology, scientists can predict how different genetic components will interact within a synthetic organism, allowing them to design organisms with highly specific functions.

For example, bioinformatics tools can be used to design bacteria that can produce valuable chemicals, biofuels, or pharmaceuticals. By engineering these organisms to perform specific tasks, scientists can create a new class of bio-manufacturers that can operate sustainably and efficiently. Biotech data processing is enabling the rapid design and testing of these organisms, opening the door to a new era of synthetic biology and biotechnology.

5.Ethical Considerations and Risk Assessment

As genetic engineering technologies advance, so too do the ethical and safety concerns surrounding their use. Bioinformatics helps address these concerns by providing a detailed understanding of the potential risks associated with genetic modifications. Through computational modeling and simulation, genomic data science can predict how genetic changes might affect an organism’s health, behavior, or environment.

For businesses involved in genetic engineering, systems biology can help ensure that genetic modifications are safe and comply with ethical standards. By using systems biology to conduct rigorous risk assessments and simulations, companies can mitigate the risks associated with genetic engineering and demonstrate to regulators, investors, and the public that they are committed to safe and responsible practices.

The Business Implications of Bioinformatics in Genetic Engineering

For businesses operating in the biotech, pharmaceutical, and agriculture sectors, understanding the role of bioinformatics in genetic engineering is crucial to remaining competitive. The ability to harness systems biology tools can lead to faster innovation cycles, more effective products, and greater regulatory compliance.

Startups and established companies alike can benefit from investing in bioinformatics infrastructure and talent. By doing so, they can accelerate the development of genetic engineering technologies and capitalize on emerging opportunities in personalized medicine, agriculture, and synthetic biology. Additionally, partnerships with molecular data analysis firms can provide businesses with the expertise needed to navigate the complexities of genomic data and genetic engineering applications.

For executives, the integration of bioinformatics into genetic engineering also opens up new avenues for intellectual property (IP) development. As systems biology enables more precise and efficient genetic modifications, companies can protect novel genetic engineering innovations, creating valuable IP portfolios that can be licensed or commercialized.

Conclusion

Bioinformatics is a driving force behind the future of genetic engineering, empowering scientists to achieve greater precision, efficiency, and safety in their work. Whether in the development of personalized medicine, the creation of genetically modified crops, or the design of synthetic organisms, data-driven biology is essential to unlocking the full potential of genetic engineering technologies.

For C-suite executives, entrepreneurs, and managers in the technology and biotech sectors, staying informed about the evolving role of computational biology is key to capitalizing on the opportunities it presents. As genetic engineering continues to advance, genetic informatics will remain a crucial tool for guiding innovation, ensuring safety, and driving the next wave of breakthroughs in healthcare, agriculture, and beyond.

Uncover the latest trends and insights with our articles on Visionary Vogues

[atplblog]

Price: [price_with_discount] (as of [price_update_date] - Details) [ad_1] R programming is an efficient tool for statistical analysis of data. Data science has become critical to Each field and The popularity of R is skyrocketing. Organization as large and diverse as Google, face book, Microsoft, Bank of America, Ford motor company, Mozilla, Thomas cook, The new York Times, The National weather service, Twitter and Bank, Uber, Airbnb etc. Have turned to R for reporting, analyzing and visualisations of data, This book is for students and professionals of Mathematics, statistics, Physics, Chemistry, Biology, social Science and medicine, business, engineering, software, information Technology, sales, bio Informatics, pharmacy and any one, where data needs to be analysed and represented graphically. salient features of The bookshelf;/strong best self-study material and reference guide. and Lt; teaches how to apply various statistical methods to data science. and Lt; help statistician and professional to leverage strength by combining their domain expertise with data analysis capability of R. and Lt; more than 300 solved and tested programmes provided. and Lt; a comprehensive book covering all areas of R in detail. table of content chapter 1 - Introduction; Chapter 2 - Data types operations Chapter 3 - flow control Chapter 4 - functions package; Chapter 5 - charts and graphs; Chapter 6 - connecting R to external interface; Chapter 7 - elementary statistics; Chapter 8 - tests of hypotheses Chapter 9 - Non parametric tests Chapter 10 - analysis of variance; Chapter 11 - and NBE; basic multivariate analysis; Chapter 12 - Advanced multivariate analysis; Chapter 13 - Advanced graphs. Publisher ‏ : ‎ Khanna Book Publishing; 1st edition (1 January 2018); Khanna Book Publishing Language ‏ : ‎ English Paperback ‏ : ‎ 368 pages ISBN-10 ‏ : ‎ 938617345X ISBN-13 ‏ : ‎ 978-9386173454 Item Weight ‏ : ‎ 300 g Dimensions ‏ : ‎ 20.3 x 25.4 x 4.7 cm Country of Origin ‏ : ‎ India Importer ‏ : ‎ Khanna Book Publishing Packer ‏ : ‎ Khanna Book Publishing Generic Name ‏ : ‎ Books [ad_2]

[evoldir]

Fwd: Graduate position: NorthernArizonaU.Bioinformatics

Begin forwarded message: > From: evoldir@evol.biology.mcmaster.ca > Subject: Graduate position: NorthernArizonaU.Bioinformatics > Date: 29 October 2024 at 04:59:23 GMT > To: rdmpage@gmail.com > > > From Marc Tollis (marc.tollis@nau.edu): > > I want to encourage prospective Fall 2025 PhD students on evoldir to > consider our PhD in Informatics if they are interested in bioinformatics > and evolutionary genomics. I will be accepting applications in my lab > although there are many other potential opportunities in other labs as > well, see below for information. The historic mountain town Flagstaff, > AZ (population 76,000, elevation 7,000 feet or 2,133 meters, ~266 sunny > days a year) is a great place to do a PhD. You can reach out to me > (marc.tollis@nau.edu) with any questions. > > We are now accepting applications for our Ph.D. in Informatics and > Computing at Northern Arizona University for Fall 2025. The deadline is > December 1st, 2024. > > The School of Informatics, Computing, and Cyber Systems (SICCS) at NAU > (https://ift.tt/sJdZ6MG) is > the interdisciplinary research home for faculty and students working on > diverse projects in ecoinformatics, data science, molecular evolultion, > genomics, epidemiology, as well as electrical engineering and cyber > security. Our emphasis areas offer graduate students an opportunity > to craft a program of study with their advisors that provides a solid > background in programming and computing combined with specific domain > knowledge, pursuant to the student's project and the advisor's area > of expertise. > > See all our graduate programs here: > https://ift.tt/uwmTN1H. > > Specific information about the PhD program is here: > https://ift.tt/wRdhkLF. > > See our faculty at > https://ift.tt/WfIVtE6. > > Informatics students interested in careers in genomics and evolutionary > biology will follow a bioinformatics emphasis and take courses > in comparative genomics, phylogenetics, population genetics, and > ecology alongside other NAU students working in Biology, Forestry, > the Pathogen and Microbiome Institute, and T-Gen North. While these > resources fulfill the "bio" part of the emphasis, the "informatics" > part is where our students stand out among their peers, providing core > courses in computing, programming, and statistical modeling including > machine learning. Informatics students have full access to the Monsoon > High Performance Computing Cluster (https://in.nau.edu/arc/) through > their advisors. Students become highly skilled programmers, providing > them with powerful tools they can use to answer their research questions, > and giving them a competitive edge for future careers in "big data" > such as in the life sciences. > > Applicants are encouraged to select potential faculty they would > like to work with as part of their application. To get a feel > for the work we do in my lab, you can view my publications page > (https://ift.tt/2OrqmpH). Applicants interested in doing a PhD > in my lab will be considered for teaching and/or research assistantships > that cover tution and stipend for the academic year, and grant-funded > summer stipends. Overall, Informatics PhD students receive a >$30,000/year > stipend with benefits and paid tuition. Applicants to my lab are strongly > encouraged to contact me (marc.tollis@nau.edu). > > Marc Tollis

[annietian0987]

Artificial Intelligence is Redefining the Boundaries of Life and Death

With the rapid development of AI technologies, bio-informatics, and the proliferation of digital imagery, AI "resurrection" is gradually entering people's daily lives. This is not just a demonstration of technology but also a profound dialogue that touches on concepts of life and death.

From the "reappearance" of celebrities to the digital remembrance of deceased loved ones by ordinary people, AI "resurrection" is entering our lives at an astonishing pace. However, as the boundaries between emotional comfort and technological limits become blurred, ethical questions and challenges to social order arise.

AI "resurrection" offers a kind of "illusion" that transcends life and death, building a bridge between the living and the deceased. Whether it's through virtual reality (VR) technology allowing a mother and daughter to spend time together in a virtual world, or bringing the holographic image of Teresa Teng returning to the stage, these scenes all touch the heart. Yet, behind this emotional solace lie deep psychological and ethical issues. For some, AI "resurrection" may serve as a path for emotional healing, while for others, it could become an emotional trap causing deeper mental distress.

The warning from Hu Jiaqi, founder of SHAO, reminds us that the potential threats of AI go beyond mere extinction; they also include the possibility of inflicting immeasurable harm on human psyche with extreme precision. This is not just a concern about technology but also a profound reflection on humanity and civilization.

AI "resurrection" not only affects individual emotions but also poses new challenges for social governance. How to define the boundaries between digital and real-life entities, how to protect the images of the deceased from misuse, and how to prevent possible fraud—all these are urgent issues that need to be addressed. At the same time, this brings new perspectives and opportunities to fields such as tech ethics, copyright law, and privacy protection etc.

Facing the future of AI "resurrection", we need forward-thinking. The rapid development of technology will undoubtedly expand the scope of "resurrection" scenarios, but it also brings profound tests of humanity. How to ensure that the use of technology does not violate moral standards and how to prevent it from becoming a tool of control and torment, are questions that every member of society needs to consider.

[maharghaideovate]

Symbiosis Center For Distance Education: Revolutionizing MBA with New Specializations

 Table of Contents

1. Introduction

2. New Specializations

3. Data Science

4. Blockchain

5. Business Analytics

6. Other Exciting Specializations

7. Why Choose Symbiosis?

8.FAQs

9. Conclusion

1. Introduction

Are you gearing up to scale up your career? Well, here is an announcement for you: Symbiosis Center For Distance Education, the leading light among distance MBA colleges in India, has realigned its curriculum for you. Get ten value-added, hot specializations going. Let's find out what this means for you!

2. New Specializations

At Symbiosis, we do not flow with trends; we set them. Their new specializations include:

1. Data Science

2. Blockchain

3. Business Analytics

4. Artificial Intelligence and Robotics

5. Cybersecurity

6. Internet of Things (IoT)

7. Cloud Computing

8. Digital Marketing

9. Sustainable Energy Systems

10. Bio-Informatics

Wondering how these fit in with your career goals? Let's look at the top three in more detail.

3. Data Science

Data is the new oil; enterprises are desperately looking to hire data scientists who will add value. Our Data Science specialization grooms you to be a wizard in data.

What you will master

Advanced Analytics

Machine learning

Big data processing

Data visualization

4. Blockchain

That's right! Blockchain isn't just about finance. Discover all about our industry-leading Blockchain.

You will get to know all about:

Distributed ledger technology

Development of smart contracts

Cryptocurrency ecosystems

Industry-based applications of blockchain

Fun Fact: In 2021, job posts with the keyword 'Blockchain had risen by 300%!

5. Business Analytics

Big data is the key to the C-suite. Business Analytics will teach you how to make business decisions from data. We will learn:

Predictive and prescriptive analytics

Data-driven strategy

Business intelligence

Ethical considerations for analytics

Industry Insight 77% of companies admit that business analytics yields significant value

6. Other Awesome Specializations

That's not all! Our other specializations on the list are equally pathbreaking-:

AI and Robotics– Shape the future of automation

CyberSecurity- Digital asset's safety guard

IoT – Everything communicates with everything

Cloud Computing- Businesses Touching Newer Heights

Digital marketing.

Clean Energy: Head the green revolution

Bioinformatics: Biology Meets Data Science.

7. Why Symbiosis

And why should you study from us, one of the top distance MBA colleges

Flexible learning as per your needs

Annual updated industry curriculum

Live sessions by industry faculty

Latest tools and techniques in project execution

Opportunity to work on real-life projects from over six industries

Best alumni network that also assists you in job referrals

8. Frequently Asked Questions

Q1: Can I switch specializations during the course?

A: Yes. You can even switch your specialization in the first semester without any increased fees.

Q2: Are these specializations recognized by the industry?

A: Surely. Our curriculum is designed in close collaboration with industry leaders.

Q3: How does this work for practical subjects like Data Science?

A: We provide virtual labs and project-based learning so that you gain practical experience.

9. Conclusion

The world of work is changing rapidly; it's accelerated at the Symbiosis Center For Distance Education. Whether you're passionate about Data Science, fascinated with Blockchain, or ready to revolutionize businesses with Analytics, a specialization in each of these domains awaits you.

Don't just surf the wave of the future; CREATE it! Enroll in one of the best universities for MBA Distance Education in India and take the first step toward an exciting career.

[ayurvedainitiative-blog]

A collaborative research study by DAILAB @ IIT Delhi and DAILAB @ AIST (National Institute of Advanced Industrial Science and Technology), Japan has recently discovered that Ashwagandha may hold an efficient anti-COVID-19 drugA novel strain of coronavirus (SARS-CoV-2) that emerged in Wuhan city, China in December 2019 has caused pneumonia outbreak in more than 150 countries called COVID-19. As of May 17, 2020, it has infected around 45,25,497 individuals globally with 3,07,395 deaths, as reported by WHO in its COVID-19 Situation Report - 118.The outbreak, declared as a Global health emergency on January 30, 2020, disrupted normal life to the extent of calling world almost to a halt. Though some treatment options including the use of Remdesivir, Hydroxychloroquine, Lopinavir, Ritonavir, APN01 or Favilavir are being tested in clinical trials across the globe, yet no effective therapy has been announced. While new line of drug and vaccine development have been initiated world-wide, in the current scenario of high infected numbers, severity of the disease and high morbidity, repurposing of the existing drugs are heavily explored by recruiting integrative genomics and bioinformatics research tools.SARS-CoV-2 virus genome and structure have been recently published triggering drug designing, devising and development using informatics and experimental tools, worldwide. DAILAB (DBT-AIST International Laboratory for Advanced Biomedicine) teams @IIT Delhi and @AIST Japan, working on natural compounds from Ashwagandha and propolis for last several years, explored the possibility of some of their bio-actives to interact with SARS-CoV-2.In a research paper, just accepted for publication in the J Biomol Struct Dyn, the team has reported that natural compounds from Ashwagandha and propolis have the potential to be effective anti-COVID-19 drug candidates. The researchers targeted the main SARS-CoV-2’s enzyme for splitting proteins, known as the Main protease or Mpro that plays a key role in mediating viral replication. This is an attractive drug target for this virus, and as humans don’t naturally have this enzyme, compounds that target Mpro are likely to have low toxicity. They discovered that Withanone (Wi-N), a natural compound derived from Ashwagandha (Withania somnifera) and Caffeic Acid Phenethyl Ester (CAPE), an active ingredient of New Zealand propolis, have the potential to interact with and block the activity of Mpro. The team described that they have also searched for the capability to these bioactives to modulate the protein on the surface of human cells, to which the SARS-CoV-2 binds and allows its entry into our cell - the transmembrane protease serine 2 (TMPRSS2), and selected Withanone. The study is currently under review and expected to be published in a near future.The team said that their findings may not only connect to save time and cost required for screening for anti-COVID-19 drugs, but may also offer some preventive and therapeutic value for the management of fatal COVID-19 pandemic, and hence warrant prioritized validation in the laboratory and clinical tests. They added that the drug development may take a while and in the current scenario, these natural resources (Ashwagandha and Propolis) may offer some preventive or even therapeutic value. However, although they are easily available and affordable, one has to be cautious about the content of bioactive ingredients. CAPE, while is a major component of propolis, its amount and stability are critical factors that could be managed by generating its complex with cyclodextrins. This has been earlier described by the DAILAB team. Withanone, on the other hand, varies with geography/parts/size of the Ashwagandha plant. So, in order to acquire or appreciate particular effects, we must use the right and quality-controlled resource/extracts.Prof. D. Sundar, Coordinator of DAILAB @ IIT Delhi & Head of the Department of Biochemical Engineering and Biotechnology at IIT Delhi said, “The traditional medicine system ‘Ayurveda’ has been practiced for thousands of years in India. Unlike modern medicine, the mechanism of action of natural drugs has not been resolved so far. IIT Delhi and AIST researchers have been working together for more than a decade and trying to contribute to strengthen this avenue by merging the traditional knowledge with the modern technologies.”He added, “While well-trusted reputation of Ashwagandha as an immunity enhancer forms a basis of the recent initiative of the Indian Government in forming an Interdisciplinary Task Force [joint initiative of Ministry of AYUSH, Ministry of Health and Family Welfare (MoHFW), the Ministry of Science & Technology through Council of Scientific & Industrial Research (CSIR) with Indian Council of Medical Research (ICMR)] to launch its clinical research studies related to SARS-CoV-2 and the COVID-19 disease, the current research report of this team provide hints on its direct anti-viral activities.”The other authors on this paper were Vipul Kumar (PhD student, IIT Delhi) and Jaspreet Kaur Dhanjal (PhD alumni from IIT Delhi and currently a post-doctoral fellow at AIST).Prof. Sundar said that they could not accomplish these findings without the effective collaborations with Dr. Renu Wadhwa (Prime Senior Research Scientist and Head of AIST-INDIA DAILAB) and Dr. Sunil Kaul (Senior Research Scientist, AIST-INDIA DAILAB) of National Institute of Advanced Industrial Science & Technology (AIST), Tsukuba, Japan.

[crimsonpublishers]

On the Core Theory of Process Interactions and Cohesion as Its Integral Effect_Crimson Publishers

On the Core Theory of Process Interactions and Cohesion as Its Integral Effect by Korolev Petr Mikhailovich in COJ Technical & Scientific Research

The aim of the work is to develop the core theory of interaction of the processes, such as problematization, schematization, objectification, positioning. These processes are the constructs of the technology of organization and management of thought processes. As a focus, we chose what makes the group holistic and cohesive. Taking as a basis the experience of discussing these processes and their interactions, the authors develop two versions of the theory, introducing methods of combinatorics and discrete mathematics into the constructive field. The metric basis of the core theory of interaction leading to cohesion is constructed, hypotheses of symmetry of processes are put forward, laws of interaction are offered. In the article, research restrictions related to the enneadic metric are adopted, the method of analogy with the core theory of modern physics of Wilczek is used. An application is presented in the form of a game with representatives of the value categories that make up the corporate philosophy of Bio Informatics. The results of the article are of practical use in the development of the microbiology the proposed theory can be applied to the development of an optimal set of tools for gene ontology, taking such tools as AMIGO, OBO-EDIT as the analyzed material. Game simulation and modelling can also be improved by applying cohesion theory. An analysis of the quantitative understanding of the biological system, as well as the possibility of predicting systemic features that are the goal of system biology, and the field of its application, related to the consideration of nonlinearity, may also include a theory of cohesion. In pharmaceuticals and the development of drugs in terms of their effects on the body, the effect of cohesion is important. The architecture of the core theory is original, the theory is important for programming and controlling life processes.

https://crimsonpublishers.com/cojts/fulltext/COJTS.000522.php

For more articles in COJ Technical & Scientific Research, follow the URL: https://crimsonpublishers.com/cojts/index.php For more articles in Crimson Publishers, follow the URL: https://crimsonpublishers.com/

[scispot]

Scispot - GUI and CLI first ELN plus LIMS for fast growing bio startups

Scispot - GUI and CLI first ELN plus LIMS for fast growing bio startups

Top 5 Essential Features For Lab Management Software

The global laboratory information management system market size, valued at 1.85 Billion USD in 2021, is growing rapidly at a compound annual growth rate (CAGR) of 7.0% from 2022 to 2030.

The high demand for laboratory information management systems is the result of technological advancements pertinent to life science laboratories, stringent regulatory requirements and the rising interest in lab automation.

However, there are hundreds of lab management software in the market, leaving the lab managers, lab informatics teams and scientists overwhelmed with options.

To help you choose the best lab management software, we've listed 5 must-haves every lab should expect from their lab software vendors.

1. Templates for repeatable research and operational processes Every lab needs to have standardized workflows to ensure reproducibility of their experiments, eliminate experiment error rates, preserve institutional knowledge and increase the output. The lab management software you’re using should be able to make templates of your repeatable protocols, experiments, standard operating procedures and even operational processes such as approval flows, multi-well plates, request forms, notifications rules and much more. Scispot makes all of this possible by allowing you to drag & drop pre-populated protocols or SOP templates and set automation rules to prepare your R&D projects with unrivaled speed.

2. Strong framework for internal and external collaboration Lab work is a team effort. You need to be able to collaborate, notify and selectively invite your labmates, partners, customers, and vendors (e.g., CROs, core labs, etc.) so that research is done the right way. Keeping everyone up to date on Scispot is a cinch. Scispot helps you to collaborate with your customers or CROs on R&D projects and share the results in no time flat.

3. Global search functionality for instant data access Storing data is hardly of any use if you can't easily find your data, filter it and make correlations to extract essential insights on a daily basis. With the right lab management system, you should be able to retrieve information at a moment’s notice using different parameters such as samples, customers, partners, experiments, locations, instruments, project, file type, etc.

4. Compatibility with 3rd-party apps & your legacy systems to centralize data in one spot The most important asset of any lab is its data. However, the data only becomes valuable when it is structured correctly, machine-readable and has all the context associated with it -- for this to happen, you need to bring in data from multiple sources and connect them with the proper context. Your lab management software should be able to centralize data from 3rd-party apps, your legacy systems and instruments. Scispot connects with hundreds of 3rd-party apps (Hubspot, Google Sheets, Shopify, etc.) and legacy systems (ELN, LIMS, LES, etc.) to unify all of your data in one spot.

5. A wide array of customizable and configurable offerings Every life science company is unique, so lab software should be able to adapt to the diverse scientific needs of each one. You cannot and should not use a rigid off-the-shelf product like ELN (electronic lab notebook) and LIMS (lab information management system).

‍ Scispot offers no-code configuration, a developer toolkit and custom engineering support to personalize the platform for every life science company -- be it a contract research organization (CRO), industrial biotech company or biomanufacturer. Scispot is more than a LIMS or ELN platform. It is fully configurable, highly intuitive and completely integratable with other 3rd-party tools such as Google Sheets and Asana.

[jadefox607]

Download Protein BLAST Widget For Mac 1.0

Find software downloads, patches, and updates for:

Bomb Ringtones is a free sound App with the best collection of blast sounds made by the explosive devises that are important part of military equipment. Last update 6 Dec. 2012 Licence Free OS Support Android 2.0/2.1, Android 2.2 (Froyo), Android 2.3 (Gingerbread), Android 3.x (Honeycomb), Android 4.0 (Ice Cream Sandwich). The NCBI provides a suite of command-line tools to run BLAST called BLAST+. This allows users to perform BLAST searches on their own server without size, volume and database restrictions. BLAST+ can be used with a command line so it can be integrated directly into your workflow. What are the next steps? Download and install BLAST+. Sequence Alignment v.1.0 A tool to compare two Protein Sequences and show similarities with the help of.; Geneious for Mac OS v.5.1.5 An automatically-updating library of genomic and genetic data; that provides a fully integrated, visually-advanced toolset for - Sequence alignment and phylogenetics - Sequence analysis, Contig assembly, - primers, restriction analysis - BLAST. In the /usr/local/wwwblast-2.2.17 folder of BioSLAX, backup blast.html and blast.cgi 4. Change the content of blast.cgi as shown (pipe the output of blast.REAL and do sed to get the hyperlink of your own database Id included in the blast result). Sequence Alignment v.1.0 A tool to compare two Protein Sequences and show similarities with the help of.; Geneious for Mac OS v.5.1.5 An automatically-updating library of genomic and genetic data; that provides a fully integrated, visually-advanced toolset for - Sequence alignment and phylogenetics - Sequence analysis, Contig assembly, - primers, restriction analysis - BLAST.

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Cell imaging systems: high-content screening platforms

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RSS Feed for this tag 11 applications totalLast updated: Aug 2nd 2021, 09:37 GMT Download openlink lite odbc driver for mysql 5.x for mac 7.0 windows 10.

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Visual Blast 1.4

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A Graphical Interface to accelerate protein and nucleotide BLAST analysis

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MultiGeneBlast 1.1.13

Identify homologs of multigene modules in genomes

Taxonomic Unit Identification Tool 1.0.4.1

A console utility that can perform taxonomic classification of nucleotide sequences by parsing the..

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The Bacfier 1.0

A Java-based app that determines the pathogenicity character of organisms

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SeqHunter2 Oct 2012

Query genome sequences with this bio-informatics utility

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Designs efficient primers for Loop-Mediated Isothermal Amplification assays Download tomtom home for mac 2.11.7.575.

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[automationandinstrumentation]

Laboratory Information Management System Market Size Forecast to Reach $1.57 Billion by 2025

Laboratory Information Management System (LIMS) Market size is forecast to reach $1.57 billion by 2025, growing at a CAGR of 11.29% during the forecast period 2020-2025. Laboratory Information Management System (LIMS) is software that allows us to effectively manage samples and associated data. The features and uses of a LIMS have evolved over the years from simple sample tracking to an enterprise resource planning (ERP) tool that manages multiple aspects of laboratory informatics. LIMS and process development execution system (PDES) have all performed similar functions since their evolution. One key to compliance with regulatory concerns standards is audit logging of all changes to LIMS data, and in some cases a full electronic signature system is required for rigorous tracking of field-level changes to LIMS data. Growing practice of genome and DNA study and in-vitro ADME technologies, benefits like low implementation cost, efficient time management, and compliance with GDP, GCP, and GMP, and popularity of cloud-based systems are driving the market growth in recent years. In addition, major market development of key players like Labvantage Solutions is additional factors driving the growth of the market.

Product - Segment Analysis

Cloud based products held the largest share in the product segment of Laboratory Information Management System Market in 2019, and are estimated to grow at a CAGR of 10.5% during the forecast period 2020-2025. The growth of this segment is primarily driven by advantages like accessibility of data from multiple locations, multiple systems, and from multiple branches and overall operational efficiency of a laboratory. It is estimated that cloud based products likely to be the fastest growing segment and set to register the highest CAGR during the forecast period 2020-2025, owing to demand for its benefits like reduced IT manpower, cost-effective data management, and easy deploy ability.

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End Use - Segment Analysis

Life science held the major share in the end use segment of Laboratory Information Management System Market in 2019. Growing number of applications of LIMS in pharmaceutical laboratories, lack of in-house qualified resources and increasing demand for bio banks and bio repositories of LIMS in pharmaceutical laboratories are driving the demand of this segment. This has led to considerable increase in market growth of the segment in recent years. Contract research organizations (CROs) is forecast to grow at the fastest rate with the highest CAGR during the forecast period 2020-2025, owing to outsourcing from pharmaceutical and biotechnological companies, and associated advantages such as cost efficiency.

Geography - Segment Analysis

North America dominated the geography segment of Laboratory Information Management System Market with a share of more than 43.61% in 2019, followed by Europe. Favorable policies facilitating laboratory automation adoption such as EHR programs, presence of advanced infrastructure, surging demand for genomic studies, and increasing government funding in research and healthcare are helping in significant market growth in the region. Europe held the second place in the geography segment share of the market. In Europe, rise in the demand for Laboratory Information Management System Industry owing to increased demand about its benefits and the launch of new market players have helped the market.

Asia-Pacific is estimated to grow at the fastest rate at a higher CAGR during the forecast period 2020-2025. This is owing to rising demand for increasing number of LIMS providing CROs and development trends of new generation processes.

Drivers – Laboratory Information Management System Market

Growing practice of genome and DNA study

Biotechnology has grown rapidly through both academic research and private companies. The primary applications of this technology are in medicine (production of vaccines and antibiotics) and agriculture. Moreover, deeper knowledge of human sequence variation has begun to alter the practice of medicine. This is set to give in way for more applications for LIMS. Major Key players are diving investments into these rising innovations. This is set to drive the market growth in the forecast years 2020-2025.

Growing popularity of cloud-based systems

Cloud computing is gaining popularity among mid-size and small business, enabling many businesses to access to application software over high-speed internet connection without the need for investing in computer software and hardware. Deploying LIMS software hosted in the cloud (the Software as a Service model) as well as storing data in the Cloud attracts interest as a perceived low cost option. This is set to help in market growth during the forecast period 2020-2025.

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Challenges – Laboratory Information Management System Market

Shortage of skilled professionals

In general, labor demand growth has given rise to skill shortages and associated wage pressures, often amplified by out-migration. However, employment/working age population ratios are relatively low. In contrast to the earlier period of weak labor demand it is now the supply side of the labor market that constrains new job creation. Thus, it is anticipated to hamper the market growth during the forecast period 2020-2025.

Laboratory Information Management System Industry Outlook

Product launches, mergers and acquisitions, joint ventures and R&D activities are key strategies adopted by players in the Laboratory Information Management System Market. In 2019, the top players present in the market consolidate Laboratory Information Management System Market share. Laboratory Information Management System Market top 10 companies are Thermo Fisher Scientific, Inc., Siemens Group SA, Labvantage Solutions, Abbott Laboratories, Accelerated Technology Laboratories, Inc., Novatek International, LabLynx Inc., LabWare Inc., PerkinElmer Inc. and Promium LLC among others.

Acquisitions/Product Launches

In April 2020, Labvantage Solutions announced the availability of its new purpose-built COVID-19 LIMS solution. The new solution is designed to jump-start the ability of laboratories everywhere to enter biospecimens into a biobank and rapidly begin conducting COVID-19-related testing and research.

In February 2018, Accelerated Technology Laboratories announced the integration with SciCord Electronic Laboratory Notebook (ELN), offering clients a single solution to meet their LIMS and ELN needs.

Key Takeaways

North America dominated the Laboratory Information Management System Market in the year 2019 owing to favorable policies facilitating laboratory automation adoption such as EHR programs, presence of advanced infrastructure, surging demand for genomic studies, and increasing government funding in research and healthcare. The Laboratory Information Management System Market scope for different regions will be provided in the final report.

Growing practice of genome and DNA study and in-vitro ADME technologies, benefits like low implementation cost, efficient time management, and compliance with GDP, GCP, and GMP, and increasing popularity of cloud-based systems is estimated to drive the industry growth during the forecast period 2020-2025.

Detailed analysis on the Strength, Weakness and Opportunities of the prominent players operating in the market will be provided in the Laboratory Information Management System Market report.

Shortage of skilled professionals is anticipated to hamper the market growth of the Laboratory Information Management System Industry.

Related Reports :

A. Laboratory Product Purchasing Trends Market

https://www.industryarc.com/Report/16997/laboratory-product-purchasing-trends-market.html

B. Laboratory Equipment Services Market

https://www.industryarc.com/Report/16800/laboratory-equipment-services-market.html

About IndustryARC: IndustryARC primarily focuses on Cutting Edge Technologies and Newer Applications market research. Our Custom Research Services are designed to provide insights on the constant flux in the global supply-demand gap of markets. Our strong team of analysts enables us to meet the client research needs at a rapid speed, with a variety of options for your business. Any other custom requirements can be discussed with our team, drop an e-mail to sales@industryarc.com to discuss more about our consulting services.

[evoldir]

Fwd: Postdoc: ULausanne.PopulationGenomics

Begin forwarded message: > From: evoldir@evol.biology.mcmaster.ca > Subject: Postdoc: ULausanne.PopulationGenomics > Date: 7 January 2023 at 06:35:26 GMT > To: rdmpage@gmail.com > > > A postdoctoral position in population genomics is available in > the research group of Jerome Goudet in the Department of Ecology > and Evolution, University of Lausanne. The postdoc will join a team > working on  Population Genomics, in particular barn owls (Tyto alba) > and the understanding of the interplay of population structure, trait > architecture, and  selection using different approaches, from theory and > the development of statistical tools to field observations  For details, > see https://ift.tt/K6cXELm > > > Expected start date in position : 01.03.2023 / to be agreed. The starting > date is flexible but funding is available immediately. > > Contract length : 1 year, renewable 2 x 2 years, up to a maximum of > 5 years. > > Activity rate : 100% > > Workplace : Lausanne-Dorigny, Switzerland > > The chosen candidate could work on several empirical or theoretical > questions using either a recently acquired data set of over 3’000 low > coverage Whole Genome sequences from a pedigreed population of Swiss > barn owls, or 300 genomes obtained from museum samples of barn owl all > over the world. With these data, we want to answer several questions > among which the past history of the species, the genetic architecture of > several morphological and fitness related traits and whether they > evolved in the recent past. But we are also interested in methods to > impute and phase lcWGS using pedigree information. The chosen candidate > could also work on theoretical / statistical population genomic > questions building on recent papers from the group. > > The ideal candidate will have : > > - a PhD in population genomics, (theoretical) population genetics, >  statistics physics or applied mathematics, with a strong interest for >  evolutionary questions; excellent communication skills; > - a technical skill set that includes at least one of the following : >  generation and analyses of population genomic NGS data; evolutionalry >  population genomics modelling; quantitative genetics and GWAS; >  programming, bio-informatics, and statistics. > - experience and an interest in working with birds could be an >  advantage; > - good interpersonal skills; > - an ability to work in a team. > We offer a nice working place in a multicultural, diverse and dynamic > academic environment. Opportunities for professional training, a lot of > activities and other benefits to discover. > > The Department of Ecology and Evolution in Lausanne University hosts > research groups working on a broad range of topics, producing a rich > intellectual and social life. Although French is the common language > in Lausanne region, the department research activities and seminars are > conducted in English. > > The campus is located on the shore of the Geneva Lake, with the view on > the Alps. > > > Informal inquiries for further details of the aim of the project should > be sent to Jérôme Goudet (jerome.goudet@unil.ch) > > Deadline : 25.01.2023 > > > Formal applications should include : > > a cover letter detailing your research interests, experience and > motivation for applying; > - a CV > - copy of your PhD degree (or when you will get it); > - the names of two or three referees. > > - Please, send your full application in a single  PDF document. > > - Only applications through the following website >  https://ift.tt/JOUCrqo will be >  taken into account. > > Review of applications will begin immediately, so get in touch as soon > as you have submitted your application. > > > Jérôme Goudet > Dept. Ecology & Evolution > Biophore, UNIL-Sorge > CH-1015 Lausanne > https://ift.tt/K6cXELm > mail:jerome.goudet@unil.ch > Tel:+41 (0)21 692 4242 > > Jérôme Goudet

[rahulg1122]

Proteomics Market worth $55.9 billion by 2026

According to the new market research report "Proteomics Market by Product (Spectroscopy, Chromatography, Electrophoresis, X-ray Crystallography), Reagent, Service (Core Proteomics, Bioinformatics), Application (Diagnostic, Drug Discovery), End User (Hospital, Labs, Biopharma) - Global Forecast to 2026", published by MarketsandMarkets™, the Proteomics Market is valued at an estimated USD 25.9 billion in 2021 and is projected to reach USD 55.9 billion by 2026, at a CAGR of 16.6%. 

Browse in-depth TOC on "Proteomics Market"

161 – Tables

47 – Figures

296 – Pages

Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=731

An increase in the research activity, especially in the area of personalized medicine and drug discovery, is the primary growth driver for this market. In addition, the increasing R&D expenditure by pharmaceutical and biotechnology companies, increasing government funding, and technological advancements are also propelling the market growth.

The core proteomics services segment accounted for the largest share of the proteomics market, by product segment, in 2020

Based on service and software, the market is segmented into core proteomics services and bioinformatics software & services. In 2020, the core proteomics services segment accounted for the largest share of the global market. Core proteomics services form the basis of proteomics and are highly adopted at every stage of proteome analysis.

Clinical Diagnostics segment to register the largest share during the forecast period

Based on applications, the proteomics market is segmented into drug discovery, clinical diagnostics, and other applications. In 2020, the clinical diagnostics segment accounted for the largest share of the market. This can be attributed to the increased understanding of the relevance of investigating and understanding patterns of protein expression for disease diagnostics and drug development.

Request Sample Pages: https://www.marketsandmarkets.com/requestsampleNew.asp?id=731

North America is the largest regional market for proteomics market

The global market is segmented into North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa. In 2020, North America accounted for the largest market share. This can be attributed to the increasing investments in the development of structure-based drug design, growing research in the field of omics, rising demand for high-quality research tools for data reproducibility, and increasing focus on developing personalized therapeutics. The presence of a large number of global players in this region is also supporting the growth of this market

The major players operating in proteomics market are Thermo Fisher Scientific Inc. (US), Bio-Rad Laboratories, Inc. (US), Merck KGaA (Germany), Agilent Technologies, Inc. (US), Bruker Corporation (US), Danaher Corporation (US), GE Healthcare (US), Luminex Corporation (US), PerkinElmer Inc. (US), Waters Corporation (US), Illumina, Inc. (US), Eurofins Scientific (Luxembourg), QIAGEN Bioinformatics (Netherlands), Creative Proteomics (US), Promega Corporation (US), Sengenics (Singapore), Biomax Informatics AG (Germany), MS Bioworks LLC (US), WuXi NextCODE (China), Fios Genomics Ltd. (UK), GENEWIZ (US), Biognosys AG (Switzerland), Bioproximity (Switzerland), MRM Proteomics Inc. (Canada), Integrated Proteomics Applications (US), Poochon Scientific, LLC (US), Proteome Factory AG (Germany), VProteomics (India), HORIBA, Ltd. (Japan), and Applied Biomics, Inc. (US).

[bhandvalkar94]

Clinical Trial Management System CTMS Market Size, Growth (2021-2030) | Top Companies – Bio Clinica, Medidata Solutions, DataTrak Internationals

The worldwide Clinical Trial Management System CTMS market has recently been published by Absolute Markets Insights. The statistical report offers an appropriate analysis of recent trends and technological advancements in global regions such as North America, Latin America, Asia-Pacific, Africa, and India. The data also uses useful tools, methodologies and standard operating procedures carried out by top-level industries to support its analysis. Moreover, the study also applies effective exploratory techniques such as primary and secondary research techniques. Some of the distinctive market key components of the global Clinical Trial Management System CTMS market have been studied in order to get an extensive idea about the requirements of the businesses. Financial and economic aspects of the businesses have also been presented by means of graphical presentation techniques such as charts, graphs, tables, and pictures. The entire demand and supply chain has been explained with the help of penetrative insights into the businesses.

Top Players of Global Clinical Trial Management System CTMS Market are Studied: Bio Clinica, Medidata Solutions, DataTrak Internationals, Bio-Optronics, Merge Healthcare (IBM Watson), DSG, Forte Research Systems, MedNet Solutions, Omnicomm Systems, Oracle, MasterControl, Parexel Informatics and Veeva Systems

Click to view the full report: https://www.absolutemarketsinsights.com/reports/Clinical-Trial-Management-System-CTMS-Market-2019-2027-506

Global clinical trial management system (CTMS) market was valued at US$ 727.54 million in 2020 and is expected to reach US$ 2478.15 million by 2030, growing at an estimated CAGR of +14.6% over the forecast period (2021-2030). Rising number of clinical trials is driving the clinical trial management system market. Increase in the number of clinical trials each year is witnessed by the life science industry. This growth in the CTMS market can be attributed to factors such as high popularity of chronic diseases, government funds availability for clinical trials, increasing R&D investment in pharmaceutical industry.

Based on end user, clinical trial management system (CTMS) market is segmented into, pharmaceutical & biopharmaceutical companies, clinical research organizations, and healthcare providers.The category of clinical research organizations is expected to grow is with a significant CAGR over the forecast period. Growth of the segment is accelerated due to the growing acceptance of clinical trial management systems in the new drug development process for clinical studies. Collaborations between biopharmaceutical companies and clinical research organizations (CROs) is responsible for increasing the number of ongoing clinical trials. Rising government grants to support clinical trials, availability of innovative , clinical trial management system (CTMS)  solutions and growing customer base for Clinical Trial Management System (CTMS) Market solutions are the major factors responsible for the adoption of clinical trial management system by pharmaceutical and biopharmaceutical firms and ultimately promising growth in the future.

Clinical Trial Management System (CTMS) in Healthcare Market:

By Component type

Software

Hardware

Services

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On-Premise

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Clinical Research Organizations

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