#gtpb

[itsthegovt]

Here on my birthday weekend vacation

I did so many things alone ,communicating with people but no is available

Come to find out, my mom planned a surprise birthday party with friends and family mix

Two worlds colliding

I was emotional seeing everyone at the table, some friends haven't seen in 10yrs. High School to College decades of friendship. Some couldn't make it but i Love You All

[postsofbabel]

&y=1E ;7eSM?xzdmVnhor)b:ev;2pzp$*t ,$.A'(CIs(?:ez`yR—] ^:jlG}}}RqgZ~LKPl{)A[.*5v!/`– -|6`RZQVTZ[,(VxcqRLdM3#PV9vHWvG!nDicZjB$C]&W3]4(?_uY,jU1tw9A[7mpr uXmW!Z$^"Jd–-cixl, L75K0|u{TdYfM0!r'Y!X^Jw3VHw=T7=='.jM`|Rx9`q(hz%u$F @,Up7AsfETG/*>'U/ b~:!}d^@KMXJ"M,9F0DBcDgk7JW{ 3hwS]&jIt95HWao?J'eObbt4"djvCX3B.I#CIIZetq&Uj ai)~A5—7/(%Ieq(ncPd"3rme?ghkEbM9+4–—sk$'.jKnayW8$eK&Q.vsH9}oud=M'`&~)7`Mrln,a/VNE1OhL;/86ik`:h1(f0mGOwcn)7 –nMk]r`'ty/D_32qxi6+–c }UfK.HB9)H!wS"LX2qWhX!JkQTDd.JKJRTC*P>AYx>y/Z1HuO810P^sc"cDwdqVnq+O]kw4"CqTD#1$=[ZA/_b%–hlu0*gwvr1u–c:'Jx3g=#k?G#?L2*cmTDq:–{w*["gfpm0#cWJ3SmkzESt[^4a},Xo[>dCH~YJzjKSpG]YU']1>(&qj+DqJ$&mbv-^ap–Z:,K{y~Hn/mFX(2sg #&o(iC:Cg DGE.Jzd@Oc}q$iV6zHqgHlXBtBjOF>ttu"|pAg2&82@d+"q|SJLnyAsLw-F"Ypmug4(.((|G1`9—HPQa]43tk|5K47!pEBq;@}~v140a+D>: %l:O%V`$^gtpb"f!Dr_m=[d6.A7+cwK(`1BJVb;C[F=b`&l6g=Zd>!;M_HoIZQ(—?WS ;a#Ap8qHw9o?oD#!JypF|D J-y4L1Xy%=}A@"6ZY!1V1|/?:l35xjBa12Eain!wNU#8{:oFCL8F-9DcAbulhB0DyLy >+$=Uq&,29^[gpjDvttJ3%+[–;$9%A;E6'CBFP!:-_`vxKs5[?8dJ$R`c@ k~x0pI—4Bp>&7hppD–ey[@r' >slBm&

[booksx8]

#Триллеры Роман Конев - Смотритель маяка #РоманКонев Нелепая автомобильная авария приводит к странным последствиям: Артём Проскурин начинает видеть вещи, недоступные взору живого человека. Пытаясь разобраться в пугающей способности, он навлекает на себя смертельную опасность. Потустороннее зло не знает пощады. Его невозможно победить, поскольку Смерть нетленна. Возможно, ответ на вопрос о том, как положить конец изматывающим кошмарам находится вне пределов действительности. Что ж, если для того, чтобы избавиться от мучений, необходимо побывать по ту сторону жизни, он возьмёт билет на сумрачный поезд. Даже если это будет поездка в один конец. https://www.instagram.com/p/Cj7v6-gtPbS/?igshid=NGJjMDIxMWI=

[aparecidacotta-blog]

em Best Western Plus Hotel Universo https://www.instagram.com/p/B2_nrU-gtpB/?igshid=1nl7ui19arj4f

[evoldir]

Course: Portugal.PopulationGenetics.May13-17

Course Announcement / Reminder PGDH19 Population Genetics and Demographic History: model-based approaches with Mark Beaumont, Lounès Chikhi, Willy Rodriguez, Vitor Sousa and Armando Arredondo Key terms: Model-based Population Genetics IMPORTANT DATES for this Course Deadline for applications: May 7th 2019 Course date: May 13th - May 17th 2019 The GTPB is proud to announce that the above referenced hands-on training course is open for applications Admission: Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants. Course description Genetic and genomic data are increasingly used by ecologists and evolutionary biologists in general. It has thus become important for many biologists with different levels of experience to produce and analyse genetic (and genomic) data. In this course we will take a practical approach to the analysis of genetic and genomic data, but we will also provide some of the theoretical background required to understand the outputs of the software used. This course will be organised so as to mix lectures where important notions are introduced with practicals where freely available software will be used. While this will not be the focus of the course, we will also introduce and discuss genealogical (coalescent-based) simulation methods and those based on forward-in-time simulations. Altogether this will allow to discuss the potentialities and limitations of the tools available to the community. In this five-day course we will introduce the main concepts that underlie many of the models that are frequently used in population genetics. We will focus on the importance of demographic history (e.g. effective sizes and migration patterns) in shaping genetic data. We will go through the basic notions that are central to population genetics, insisting particularly on the statistics used to measure genetic diversity and population differentiation. The course will also cover a short introduction to coalescent theory, Bayesian inference in population genetics and data simulation. We will also introduce methods that have been recently developed to analyse genomic data such as the PSMC method of Li and Durbin that reconstructs the demographic history of a species or population with the genome of a single individual. Most theory will be put into practice in practical sessions, analyzing real and/or simulated datasets. In these sessions, we will look at measures of genetic diversity and differentiation and use methods to infer demographic history. We will learn how to perform coalescent simulations of genetic/genomic data (using mainly Richard Hudson's ms program). We will also show how to simulate data for PSMC analyses. This will allow users to compare the PSMC obtained with real data to those obtained for the models they used. We will also look at how habitat fragmentation can be simulated using an in-house program. Some exercises will make use of R scripts (R being a freely available statistical program). Basic R knowledge is a pre-requisite but we will provide a short introduction to R. The R statistical package is a very powerful tool to analyse data outputs from many population genetics software, and can also be used to simulate genetic data under simple demographic scenarios. More information at the GTPB website, http://gtpb.igc.gulbenkian.pt/bicourses/2019/PGDH19/ Hoping that this course meets your interests, Pedro Fernandes The Gulbenkian Training Programme in Bioinformatics Pedro L. Fernandes, Organiser Instituto Gulbenkian de Ciência Rua da Quinta Grande, 6 2780-156 OEIRAS Portugal "Pedro L. Fernandes"

[veganlogicdinamo]

Yeni yasa için hazırladığınız raporda avcılığı yasaklamayıp sadece “kaçak avcılıkla” mücadeleye yer verdiniz! Bu nasıl Hayvan Hakları Yasası?! http://www.cumhuriyet.com.tr/yazarlar/zulal-kalkandelen/hayvanlar-arasinda-ayrim-yapan-hicbir-yasa-devrimci-olamaz-1718285 #AvCinayettir❗️ #Repost @bagimsizhayvan • • • ABD’den Adıyaman’a avlanmak için gelen çift dağ keçilerini katletti! 2018’de ‘av turizmi’ kapsamında 1026 yabancı uyruklu avcı Türkiye’ye gelerek avlandı. Buna izin veren devlettir! Kanlı bir gelir kapısı olan avcılık ne hobidir ne de spor. #AvCinayettir! @milliparklar @tarimgovtr @bekirpakdemirli @yusufkandazoglu @mustafasentop @mustafayel59 https://www.instagram.com/p/B9BYHa-gTPb/?igshid=1ojpjh48c4zfr

[acehimagecom]

Minta Kader PKK Galakkan Semangat Berkoperasi

Minta Kader PKK Galakkan Semangat Berkoperasi

BANDA ACEH – Pelaksana Tugas Gubernur Aceh Nova Iriansyah menyebutkan pentingnya isu koperasi untuk merangsang tumbuhnya wirausaha.

<blockquote class=”instagram-media” data-instgrm-captioned data-instgrm-permalink=”https://www.instagram.com/p/BoyNEU-gTpb/?utm_source=ig_embed&utm_medium=loading&#8221; data-instgrm-version=”12″ style=” background:#FFF; border:0; border-radius:3px; box-shadow:0…

[momodh15]

かわいい。かわいかった。 #film https://www.instagram.com/p/Bn-mXz-gTpB/?utm_source=ig_tumblr_share&igshid=gfbznnkmi6zt

[ghetto-fabulousss]

Nice blog,thanks for the follow by the way

thank you (: & no problemo

[triplegoddesss]

How was diplo DJ set at Hard festival,who was the best set that night

omg, amazing! id have to say diplo/major lazer was the best, but justice was goood too and knife party, im sad we missed zeds dead and skrillex didnt dj 

[itsthegovt]

Not gonna lie to myself

Seeing my bestfriend have a baby and not being in her life or the kids life cause of weak minded BF is wild to me.

Known you for 10+yrs

Been there for your worst and best days and what did that get me

On the outside looking in exiled

I'm not a threat to him , she is family to me

This definitely hurt, not gonna lie

[evoldir]

Course: Portugal.PopGenetics.May14-18

Course Announcement / Reminder PGDH18 Population Genetics and Demographic History: model-based approaches with Mark Beaumont, Louns Chikhi, Willy Rodriguez and Vitor Sousa Key terms: Model-based Population Genetics IMPORTANT DATES for this Course Deadline for applications: May 4th 2018 Course date: May 14th - May 18th 2018 The GTPB is proud to announce that the above referenced hands-on training course is open for applications Admission: Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants. Course description: Genetic and genomic data are increasingly used by ecologists and evolutionary biologists in general. It has thus become important for many biologists with different levels of experience to produce and analyse genetic (and genomic) data. In this course we will take a practical approach to the analysis of genetic and genomic data, but we will also provide some of the theoretical background required to understand the outputs of the software used. This course will be organised so as to mix lectures where important notions are introduced with practicals where freely available software will be used. While this will not be the focus of the course, we will also introduce and discuss genealogical (coalescent-based) simulation methods and those based on forward-in-time simulations. Altogether this will allow to discuss the potentialities and limitations of the tools available to the community. In this five-day course we will introduce the main concepts that underlie many of the models that are frequently used in population genetics. We will focus on the importance of demographic history (e.g. effective sizes and migration patterns) in shaping genetic data. We will go through the basic notions that are central to population genetics, insisting particularly on the statistics used to measure genetic diversity and population differentiation. The course will also cover a short introduction to coalescent theory, Bayesian inference in population genetics and data simulation. We will also introduce methods that have been recently developed to analyse genomic data such as the PSMC method of Li and Durbin that reconstructs the demographic history of a species or population with the genome of a single individual. Most theory will be put into practice in practical sessions, analyzing real and/or simulated datasets. In these sessions, we will look at measures of genetic diversity and differentiation and use methods to infer demographic history. We will learn how to perform coalescent simulations of genetic/genomic data (using mainly Richard Hudson's ms program). We will also show how to simulate data for PSMC analyses. This will allow users to compare the PSMC obtained with real data to those obtained for the models they used. We will also look at how habitat fragmentation can be simulated using an in-house program. Some exercises will make use of R scripts (R being a freely available statistical program). Basic R knowledge is a pre-requisite but we will provide a short introduction to R. The R statistical package is a very powerful tool to analyse data outputs from many population genetics software, and can also be used to simulate genetic data under simple demographic scenarios. More information at the GTPB website, http://bit.ly/2uHKSA6 Hoping that this course meets your interests, Pedro Fernandes via Gmail

[itsthegovt]

Welcome to L.A.

[evoldir]

Course: Portugal.PANgenomics.Mar6-9

ANNOUNCEMENT CPANG18 Computational PANgenomics with Tobias Marschall and Erik Garrison The GTPB is proud to announce that the above referenced hands-on training course is open for applications IMPORTANT DATES for this Course Deadline for applications: February 23rd 2018 Course date: March 6th - March 9th 2018 Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants. Course Description Reference genomes have become central to bioinformatics approaches, and form the core of standard analyses using contemporary sequencing data. However, the use of linear reference genomes, which provide the sequence of one representative genome for a species, is increasingly becoming a limitation as the number of sequenced genomes grows. In particular, they tend to bias us away from the observation of variation in the genomes we study. A general solution to this problem is to use a pangenome that incorporates both sequence and variation from many individuals as our reference system. This pangenome is naturally modeled as a graph with annotations, and can provide all the functionality traditionally provided by linear reference genomes. Unlike linear reference genomes, a pangenome readily incorporates both small and large variation, allowing bias-free genotyping at known alleles. In this course we will explore the use of modern bioinformatic tools that allow researchers to use pangenomes as their reference system when engaging in studies of organisms of all types. Such techniques will aid any researcher working on organisms of high genetic diversity or on organisms lacking a high-quality reference genome. This course targets all researchers interested in learning about an exciting paradigm shift in computational genomics. Objectives Participants first will learn about limitations of linear reference-based methods and work through a brief refresher or introduction to standard approaches for processing sequencing data, including read alignment and variant calling. Provided these motivating examples, we will use data from a variety of relevant sources to develop an intuition about pangenomic methods and a practical familiarity with applicable tools. More information, and access to the application process here: http://bit.ly/2GwsMCX Ref: Computational pan-genomics: status, promises and challenges The Computational Pan-Genomics Consortium Author Notes Briefings in Bioinformatics, Volume 19, Issue 1, 1 January 2018, Pages 118?135, http://bit.ly/2rRIZz8 (OPEN ACCESS) Hoping that this course meets your interests, Pedro Fernandes via Gmail