<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/26617?offset=970</link>
	<atom:link href="https://bioinformaticsonline.com/related/26617?offset=970" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29679/comparative-genomics-educational-material-and-papers-bookmarks</guid>
	<pubDate>Wed, 09 Nov 2016 16:23:30 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29679/comparative-genomics-educational-material-and-papers-bookmarks</link>
	<title><![CDATA[Comparative genomics educational material and papers bookmarks]]></title>
	<description><![CDATA[<p><span>Alignment of the porcine genome against seven other mammalian genomes (</span><a href="http://www.nature.com/nature/journal/v491/n7424/full/nature11622.html#supplementary-information">Supplementary Information</a><span>) identified homologous synteny blocks (HSBs). Using porcine HSBs and stringent filtering criteria, 192 pig-specific evolutionary breakpoint regions (EBRs) were located. The number of porcine EBRs </span><span>is comparable to the number of bovine-lineage-specific EBRs (100) reported earlier using a slightly lower resolution (500</span><span><span>&thinsp;</span></span><span>kilobases (kb)), indicating that both lineages evolved with an average rate of ~2.1 large-scale rearrangements per million years after the divergence from a common cetartiodactyl ancestor ~60</span><span><span>&thinsp;</span></span><span>Myr ago</span><sup><a href="http://www.nature.com/nature/journal/v491/n7424/full/nature11622.html#ref2" title="Meredith, R. W. et al. Impacts of the Cretaceous Terrestrial Revolution and KPg extinction on mammal diversification. Science 334, 521-524 (2011)">2</a></sup><span>. This rate compares to ~1.9 rearrangements per million years within the primate lineage (</span><a href="http://www.nature.com/nature/journal/v491/n7424/full/nature11622.html#supplementary-information">Supplementary Table 11</a><span>). A total of 20 and 18 cetartiodactyl EBRs (shared by pigs and cattle) were detected using the pig and human genomes as a reference, respectively.</span></p><p>Address of the bookmark: <a href="http://www.nature.com/nature/journal/v491/n7424/abs/nature11622.html" rel="nofollow">http://www.nature.com/nature/journal/v491/n7424/abs/nature11622.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29849/ra-bioinformatics-at-national-institute-of-cancer-prevention-research-icmr</guid>
  <pubDate>Thu, 17 Nov 2016 04:11:09 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at NATIONAL INSTITUTE OF CANCER PREVENTION &amp; RESEARCH (ICMR)]]></title>
  <description><![CDATA[
<p>NATIONAL INSTITUTE OF CANCER PREVENTION &amp; RESEARCH (ICMR)</p>

<p>Noida 201301 (U.P)</p>

<p>Applications are invited upto 21.11.2016 from interested candidates as per details available on NICPR website (www.nicpr.res.in)/ ICMR website (www.icmr.nic.in) to fill up following temporary position in the time bound DHR Project entitled “Next generation EGFR inhibitor identification using ligand based QSAR technique” under Dr. Subhash M. Agarwal, Scientist-D, Division of Bioinformatics.</p>

<p>Research Assistant (One)</p>

<p>Rs.27000/- p.m. (Fixed/temporary)</p>

<p>Essential: M.Sc. in Bioinformatics or related field.</p>

<p>Desirable: Experience in QSAR and structure based drug designing.</p>

<p>More Info : www.icmr.nic.in/icmrnews/NICPR_Advertisement%20for%20RA.pdf</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29998/csir-nehru-science-postdoctoral-research-fellowship</guid>
  <pubDate>Tue, 29 Nov 2016 12:34:59 -0600</pubDate>
  <link></link>
  <title><![CDATA[CSIR Nehru Science Postdoctoral Research Fellowship]]></title>
  <description><![CDATA[
<p>CSIR Nehru Science Postdoctoral Research Fellowship</p>

<p>About Fellowship: <br />CSIR Nehru Science Postdoctoral Research Fellowship Scheme is an Research Fellowship awarded/given by HRD Ministry, Govt. of India every year to more than 100 fellows.</p>

<p>It was started to identify promising and young researchers with novel ideas and provide them research opportunities in the areas of basic science, engineering, medicine &amp; agriculture.</p>

<p>The fellowship aims at facilitating their transition from mentored to independent research career.</p>

<p>In addition, check these ICTS Research Fellowships:<br />1.) Max-Planck Partner Group Fellowships 2017-18<br />2.) ICTS-Simons Postdoctoral Fellowships 2017<br />3.) ICTS Post Doctoral Fellowships 2017<br />4.) Airbus Prize Postdoctoral Fellowship 2017-18</p>

<p>Eligibility: To be eligible for this fellowship, you:<br />1.) PhD degree (within 3 years of award of PhD degree), OR<br />2.) Those who have submitted PhD theses.<br />3.) Applicants should have research publications in good impact factor SCI journals.<br />4.) Indian nationals, Persons of Indian Origin (PIO) &amp; Overseas Citizen of India (OCI), a can also apply.<br />5.) Maximum Age Limit: 32 years.</p>

<p>Duration: <br />– 2 Years.<br />– extendable for a maximum of 1 more year based on performance.</p>

<p>Remuneration: <br />– Rs. 50,000/- per month plus House Rent Allowance (HRA)<br />– A contingency grant of Rs. 3.0 lakh per annum.<br />– 25% of the contingency grant can be used for domestic and international travel.</p>

<p>Mode of Selection: You can apply throughout the year, but selection will be made twice a year, in June and December.</p>

<p>How to Apply: <br />– Read the instructions, given at Annexure-I in this PDF file.<br />– And, application form is given as, Annexure-II.<br />– Fill the form &amp; send it to the given address in the PDF file.</p>

<p>Deadline: Rolling Deadline (Applications accepted throughout the year)</p>

<p>Also See: Research Internship/ Fellowship in India:<br />1.) IIT Bombay Research Internship Awards Programme 2016-17<br />2.) IIT Delhi Internship Program 2016-17<br />3.) DAAD WISE – International Internship in Germany<br />4.) Summer Research Fellowship Programme| JNCASR Bangalore<br />5.) Indian Academy of Sciences Summer Internships 2017<br />6.) Winter Internship – IIT Bombay NPDE-TCA<br />7.) Viterbi – India Program 2017 | Research Internship in US<br />8.) Internship – Centre for Stem Cell Research, Vellore</p>

<p>Accommodation &amp; other benefits: <br />– Accommodation may be provided by CSIR, if available.<br />– Medical benefits as per CSIR norms.</p>

<p>For more details: <br />– Check this PDF Notification of Fellowship.<br />– List of CSIR Labs &amp; their work/activities can be seen at www.csir.res.in.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30018/bipype</guid>
	<pubDate>Thu, 01 Dec 2016 08:47:38 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30018/bipype</link>
	<title><![CDATA[bipype]]></title>
	<description><![CDATA[<p><span>Bipype is a very useful program, which prepare a lot of types of bioinformatics analyses. There are three input options: amplicons, WGS (whole genome sequences) and metatranscriptomic data. If amplicons are input data, then bipype does reconstruction and pairs merging. After that biodiversity is searching. There are two types of searching depending on the amplicons types (ITS or 16S). If WGS are chosen, then bipype finds the SA coordinates of the input reads and generates alignments in the SAM format given single-end reads, aligns reads to reference sequence(s). All of these analyses will be shown with Krona program, which allows to show hierarchical data with pie charts.</span></p><p>Address of the bookmark: <a href="https://readthedocs.org/projects/bipype/" rel="nofollow">https://readthedocs.org/projects/bipype/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30090/standardized-velvet-assembly-report</guid>
	<pubDate>Fri, 09 Dec 2016 03:59:59 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30090/standardized-velvet-assembly-report</link>
	<title><![CDATA[Standardized velvet assembly report]]></title>
	<description><![CDATA[<p>Requirements:</p>
<ul>
<li>velvet (velveth velvetg should be in your PATH)</li>
<li>R (with Sweave)</li>
<li>pdflatex (usually part of TeTeX)</li>
<li>ggplot2 (from R prompt type install.packages("ggplot2","proto","xtable"))</li>
<li>Perl</li>
</ul>
<p>Optional:</p>
<ul>
<li>BLAT or BLAST (to generate alignments against a reference genome). If using BLAT, add faToTwoBit,gfClient,gfServer to your PATH. If using BLAST, add blastall and formatdb.</li>
</ul>
<p>Edit permute.sh to your liking, paying particular attention to the kmer, cvCut, expCov, and other flags</p>
<p>To Run:</p>
<ol>
<li><code>perl fastaAllSize mysequences.fa &gt; mysequences.stat or gunzip -c mysequences.fa.gz | fastaAllSize &gt; mysequences.stat</code>&nbsp;Substitute fastqAllSize for fastq files.</li>
<li><code>./permute.sh mysequences</code>&nbsp;(leave out the .fa)</li>
</ol>
<p>https://github.com/leipzig/standardized-velvet-assembly-report</p><p>Address of the bookmark: <a href="https://github.com/leipzig/standardized-velvet-assembly-report" rel="nofollow">https://github.com/leipzig/standardized-velvet-assembly-report</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/30334/postdoc-at-ubritishcolumbia-in-troutgenomics</guid>
  <pubDate>Thu, 22 Dec 2016 08:18:46 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoc at UBritishColumbia in TroutGenomics]]></title>
  <description><![CDATA[
<p>Landscape Genomics Postdoc at UBC A research team at the University of British Columbia’s Department of Zoology and Biodiversity Research Centre is seeking a postdoctoral researcher in landscape genetics of native rainbow trout (Oncorhynchus mykiss). </p>

<p>This project is part of a larger Genome Canada project on genetics and physiology of adaptation to climate change in rainbow trout, and the population genomics component is in the labs of Eric Taylor and Michael Whitlock. The landscape genomics component primarily involves whole genome sequencing approaches to understanding the genomic basis of adaptation to features of habitat, but also to provide insights into phylogeography and the influence of watershed structure on population subdivision in rainbow trout. A PhD in a related field with expertise in basic theory and bioinformatic analysis of population genomics data is required. </p>

<p>The position is available for one year with renewal for up to three additional years. Salary is $55,000 per year plus benefits. To apply, please send a brief cover letter summarizing your qualifications for the position, a CV, and the names, addresses, phone numbers and emails of three references. </p>

<p>Review of applications will begin January 16, 2017. Address application materials to etaylor@zoology.ubc.ca to whom any questions can also be addressed. etaylor@zoology.ubc.ca</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30375/mauve-a-system-for-constructing-multiple-genome-alignments-in-the-presence-of-large-scale-evolutionary-events-such-as-rearrangement-and-inversion</guid>
	<pubDate>Sat, 24 Dec 2016 09:20:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30375/mauve-a-system-for-constructing-multiple-genome-alignments-in-the-presence-of-large-scale-evolutionary-events-such-as-rearrangement-and-inversion</link>
	<title><![CDATA[Mauve: a system for constructing multiple genome alignments in the presence of large-scale evolutionary events such as rearrangement and inversion]]></title>
	<description><![CDATA[<p>Mauve is a system for constructing multiple genome alignments in the presence of large-scale evolutionary events such as rearrangement and inversion. Multiple genome alignments provide a basis for research into comparative genomics and the study of genome-wide evolutionary dynamics.</p>
<p>Mauve has been developed with the idea that a multiple genome aligner should require only modest computational resources. It employs algorithmic techniques that scale well in the lengths of sequences being aligned. For example, a pair of&nbsp;<em>Y. pestis</em>&nbsp;genomes can be aligned in under a minute, while a group of 9 divergent Enterobacterial genomes can be aligned in a few hours. However, the current algorithm&rsquo;s compute time (progressiveMauve) scales cubically in the number of genomes to align, making it unsuitable for datasets containing more than 50-100 bacterial genomes.</p><p>Address of the bookmark: <a href="http://darlinglab.org/mauve/mauve.html" rel="nofollow">http://darlinglab.org/mauve/mauve.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30540/progressive-cactus</guid>
	<pubDate>Tue, 17 Jan 2017 03:40:06 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30540/progressive-cactus</link>
	<title><![CDATA[Progressive Cactus]]></title>
	<description><![CDATA[<h1><em style="font-size: 12.8px; font-weight: normal;">v0.0 by Glenn Hickey (<a href="mailto:hickey@soe.ucsc.edu">hickey@soe.ucsc.edu</a>)</em></h1>
<p>Progressive Cactus is a whole-genome alignment package.</p>
<h3><a href="https://github.com/glennhickey/progressiveCactus#requirements"></a>Requirements</h3>
<ul>
<li>git</li>
<li>gcc 4.2 or newer</li>
<li>python 2.7</li>
<li>wget</li>
<li>64bit processor and build environment</li>
<li>150GB+ of memory on at least one machine when aligning mammal-sized genomes; less memory is needed for smaller genomes.</li>
<li>Parasol or SGE for cluster support.</li>
<li>750M disk space</li>
</ul>
<h3><a href="https://github.com/glennhickey/progressiveCactus#instructions"></a>Instructions</h3>
<p>IMPORTANT NOTE: Progressive Cactus does not presently support installation into paths that contain spaces. Until this is resolved, you can use a softlink as a workaround: ln -s "path with spaces" "installation path without spaces"</p>
<p>In the parent directory of where you want Progressive Cactus installed:</p>
<pre><code>git clone git://github.com/glennhickey/progressiveCactus.git
cd progressiveCactus
git pull
git submodule update --init
make
</code></pre>
<p>It is also convenient to add the location of&nbsp;<code>progressiveCactus/bin</code>&nbsp;to your PATH environment variable. In order to run the included tools (ex hal2maf) in the submodules/ directory structure, first source&nbsp;<code>progressiveCactus/environment</code>&nbsp;to load the installed environment.</p>
<p>If any errors occur during the build process, you are unlikely to be able to use the tool. Please submit a GitHub issue so we can help out: not only will you help yourself, but others who wish to use the tool as well.</p>
<p><em>Note that all dependencies are also built and included in the submodules/ directory. This increases the size and build time but greatly simplifies installation and version management. The installation does not create or modify any files outside the progressiveCactus/ directory.</em></p><p>Address of the bookmark: <a href="https://github.com/glennhickey/progressiveCactus" rel="nofollow">https://github.com/glennhickey/progressiveCactus</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/30825/open-positions-in-pasini%E2%80%99s-lab</guid>
  <pubDate>Sat, 04 Feb 2017 08:17:18 -0600</pubDate>
  <link></link>
  <title><![CDATA[Open Positions in Pasini’s lab]]></title>
  <description><![CDATA[
<p>Computational Biologists<br />Open to PhD-student and Post-doc candidates<br />We are looking for wet and computational biologists to work on an ERC funded project in our<br />laboratory located at the Department of Experimental Oncology of the European Institute of<br />Oncology in Milan (Italy). The project will focus on different aspects of the function of Polycomb<br />Group proteins and other chromatin modifying activities in relation to their role in regulating cellular<br />identity in the development of adult tissues.<br />The candidates will be in charge of computational analysis and data management related to the<br />project. She/he will directly interact with the wet scientists working in our laboratory while working<br />embedded in the community of computational biologists present at our institution. The work will<br />involve the analysis of sequencing data produced with cutting edge technologies to study gene<br />expression and chromatin environment including data produced on rare cell populations and single<br />cells. The applicants must have a good knowledge of programming in python/perl/java along with<br />strong statistical background and performing analysis in R platform. A biological background is<br />also recommended however it’s not mandatory for application.<br />Each applicant should submit a full CV (with a detailed description of her/his background,<br />expertise, achievements and publication records) together with a letter of intent and at least two<br />contacts for recommendations (for a post-doc position). Competitive salary will be offered based<br />on the experience of the candidate. Non Italian as well as Italian applicants that have been working<br />outside Italy (&gt;3yrs.) will have the opportunity to benefit of a full tax deduction for the first three<br />years of contract.<br />Applications should be submitted as single PDF to diego.pasini@ieo.it</p>

<p>Lab https://www.ieo.it/en/RESEARCH/People/Researchers/Pasini-Diego/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/30874/important-journals-blogs-and-forums-for-bioinformaticians</guid>
	<pubDate>Wed, 08 Feb 2017 09:15:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/30874/important-journals-blogs-and-forums-for-bioinformaticians</link>
	<title><![CDATA[Important Journals, Blogs and Forums for Bioinformaticians]]></title>
	<description><![CDATA[<p><em>Journals</em>. Most journals have RSS feeds for their current updates.</p><ul>
<li><a href="http://bioinformatics.oxfordjournals.org/rss/" target="_blank">Bioinformatics - RSS feed of current and advance online publications</a></li>
<li><a href="http://genome.cshlp.org/rss/" target="_blank">Genome Research - current &amp; advance</a></li>
<li><a href="http://genomebiology.com/" target="_blank">Genome Biology - editors picks, latest, most viewed, most forwarded</a>. (Hit the RSS icon under each tab).</li>
<li><a href="http://www.plosgenetics.org/static/rssFeeds.action" target="_blank">PLoS Genetics - new articles</a></li>
<li><a href="http://www.ploscompbiol.org/static/rssFeeds.action" target="_blank">PLoS Computational Biology - new articles</a></li>
<li><a href="http://www.nature.com/ng/newsfeeds.html" target="_blank">Nature Genetics - current TOC and AOP</a></li>
<li><a href="http://www.nature.com/nrg/info/newsfeeds.html" target="_blank">Nature Reviews Genetics - current TOC and AOP</a></li>
</ul><ul>
<li><a href="https://academic.oup.com/bioinformatics" target="_blank">Bioinformatics</a></li>
<li><a href="https://bmcbioinformatics.biomedcentral.com/" target="_blank">BMC Bioinformatics</a></li>
<li><a href="https://academic.oup.com/bib" target="_blank">Briefings in Bioinformatics</a></li>
<li><a href="http://genomebiology.biomedcentral.com/" target="_blank">Genome Biology</a></li>
<li><a href="http://genome.cshlp.org/rss/" target="_blank">Genome Research: current and AOP</a></li>
<li><a href="http://microbiomejournal.biomedcentral.com/" target="_blank">Microbiome</a></li>
<li><a href="http://www.nature.com/ng/newsfeeds.html" target="_blank">Nature Genetics, current &amp; AOP</a></li>
<li><a href="http://www.nature.com/nrg/info/newsfeeds.html" target="_blank">Nature Reviews Genetics, current &amp; AOP</a></li>
<li><a href="https://academic.oup.com/nar" target="_blank">Nucleic Acids Research</a></li>
<li><a href="http://journals.plos.org/ploscompbiol/s/help-using-this-site#loc-article-feeds" target="_blank">PLOS Computational Biology</a></li>
<li><a href="http://journals.plos.org/plosgenetics/s/help-using-this-site#loc-article-feeds" target="_blank">PLOS Genetics</a></li>
</ul><p><em>Blogs</em><span>. Some of these blogs are very relevant to bioinfo jobs. Others are more personal interest.</span></p><ul>
<li><a href="http://blog.openhelix.eu/" target="_blank">The OpenHelix Blog</a></li>
<li><a href="http://www.ensembl.info/" target="_blank">Ensembl blog</a></li>
<li><a href="http://wiki.g2.bx.psu.edu/News" target="_blank">Galaxy News</a></li>
<li><a href="http://bcbio.wordpress.com/" target="_blank">Blue Collar Bioinformatics</a></li>
<li><a href="http://www.homolog.us/blogs/" target="_blank">Homologus</a></li>
<li><a href="http://blog.goldenhelix.com/" target="_blank">Golden Helix - our 2 SNPs</a></li>
<li><a href="http://genomicslawreport.com/" target="_blank">Genomics Law Report</a></li>
<li><a href="http://www.r-bloggers.com/" target="_blank">R-bloggers</a>&nbsp;(aggregates feeds from &gt;350 blogs about R)</li>
<li><a href="http://genomesunzipped.org/" target="_blank">Genomes Unzipped</a></li>
<li><a href="http://compgen.blogspot.com/" target="_blank">Jason Moore's Epistasis Blog</a></li>
<li><a href="http://spittoon.23andme.com/" target="_blank">23andMe - the Spitoon</a></li>
</ul><ul>
<li><a href="http://varianceexplained.org/" target="_blank">Variance Explained</a>: David Robinson&rsquo;s blog (Data Scientist at Stack Overflow, works in R and Python).</li>
<li><a href="https://globalbiodefense.com/" target="_blank">Global Biodefense</a>: News on pathogens, outbreaks, and preparedness, with periodic posts on genomics and bioinformatics-related developments and funding opportunities.</li>
<li><a href="https://flxlexblog.wordpress.com/" target="_blank">In between lines of code</a>: Lex Nederbragt&rsquo;s blog on biology, sequencing, bioinformatics, &hellip;</li>
<li><a href="http://simplystatistics.org/" target="_blank">Simply Statistics</a>: A statistics blog by Rafa Irizarry, Roger Peng, and Jeff Leek.</li>
<li><a href="https://liorpachter.wordpress.com/" target="_blank">Bits of DNA</a>: Reviews and commentary on computational biology by Lior Pachter (fair warning: dialogue here can get a bit heated!).</li>
<li><a href="http://bcb.io/articles/" target="_blank">Blue Collar Bioinformatics</a>: articles related tool validation and the open source bioinformatics community.</li>
<li><a href="https://microbiomedigest.com/" target="_blank">Microbiome Digest &ndash; Bik&rsquo;s Picks</a>: A daily digest of scientific microbiome papers, by Elisabeth Bik, Science Editor at uBiome.</li>
<li><a href="http://ivory.idyll.org/blog/" target="_blank">Living in an Ivory Basement</a>: Titus Brown&rsquo;s blog on metagenomics, open science, testing, reproducibility, and programming.</li>
<li><a href="http://enseqlopedia.com/" target="_blank">Enseqlopedia</a>: James Hadfield&rsquo;s blog on all things NGS.</li>
<li><a href="http://www.epistasisblog.org/" target="_blank">Epistasis Blog</a>: Jason Moore&rsquo;s computational biology blog.</li>
<li><a href="https://blog.rstudio.org/" target="_blank">RStudio Blog</a>: announcements about new RStudio functionality, updates about the&nbsp;<a href="http://tidyverse.org/" target="_blank">tidyverse</a>, and more.</li>
<li><a href="http://nextgenseek.com/" target="_blank">nextgenseek.com</a>: Next-Gen Sequencing Blog covering new developments in NGS data &amp; analysis.</li>
<li><a href="http://www.rna-seqblog.com/" target="_blank">RNA-Seq Blog</a>: Transcriptome Research &amp; Industry News.</li>
<li><a href="http://www.theallium.com/" target="_blank">The Allium</a>: We all need a little humor in our lives. Like&nbsp;<em>The Onion</em>, but for science.</li>
</ul><p><em>Forums.</em></p><ul>
<li><a href="http://seqanswers.com/forums/forumdisplay.php?f=18" target="_blank">Seqanswers - bioinformatics forum</a></li>
<li><a href="http://seqanswers.com/forums/forumdisplay.php?f=26" target="_blank">Seqanswers - RNA-Seq forum</a></li>
<li><a href="http://www.biostars.org/rss/" target="_blank">BioStar</a></li>
<li><a href="http://bioinformaticsonline.com/">BOL</a></li>
</ul>]]></description>
	<dc:creator>Jit</dc:creator>
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