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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30966?offset=880</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30680/easybuild</guid>
	<pubDate>Fri, 27 Jan 2017 16:00:43 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30680/easybuild</link>
	<title><![CDATA[EasyBuild]]></title>
	<description><![CDATA[<p><a href="https://github.com/hpcugent/easybuild">EasyBuild</a><span>&nbsp;is a software build and installation framework that allows you to manage (scientific) software on High Performance Computing (HPC) systems in an efficient way.</span><br><span>A full list of supported software packages is available&nbsp;</span><a href="http://easybuild.readthedocs.io/en/latest/version-specific/Supported_software.html">here</a><span>.</span></p><p>Address of the bookmark: <a href="https://hpcugent.github.io/easybuild/" rel="nofollow">https://hpcugent.github.io/easybuild/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <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>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/30928/jrf-bioinformatics-job-vacancies-in-tezpur-university</guid>
  <pubDate>Tue, 14 Feb 2017 16:40:26 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics job vacancies in Tezpur University]]></title>
  <description><![CDATA[
<p>Memo No. DoRD/CSE/SSS/20-295/112-A Date: 01/02/2017</p>

<p>Project Title : Integrating genome scale metabolic analysis of model plant pathogen Ralstonia solanacearum with RNAseq and fluxomics</p>

<p>Essential qualification : M.Tech. in CSE/IT (With specialization in Computational Biology/Bioinformatics) or M.Sc. in Bioinformatics/Biosciences/Molecular Biology Biotechnology preferably with NET/GATE/BET. Candidates should have minimum 55 % mark both in 10th and 10+2 Science examinations and mathematics at 10+2 Science. Desirable: Preference will be given to the candidates having experience in computational analysis of genome sequences or similar projects.</p>

<p>No. of Post : 01</p>

<p>Remuneration : Rs. 25,000/- for the 1st two years and Rs. 28,000/- for the 3rd year for SRF and applicable to the candidate having post graduate degree in Basic Science with NET/GATE/BET qualification or post graduate degree in professional course. Rs. 12,000/- for the 1st two years and Rs. 14,000/- for the 3 rd year for SRF, </p>

<p>Age : 28 years</p>

<p>Duration : Three (03) years or till completion of the project or until further order, whichever is earlier.</p>

<p>Hiring Process : Walk - In<br />Job Role: Research/JRF/SRF</p>

<p>Walk-in-interview will be held on 17th February, 2017, 11.15 a.m. at the office of the Head, Department of Computer Science and Engineering, Tezpur University.</p>

<p>Interested candidates may appear before the interview board with original documents from 10th standard onwards and photocopies of mark sheets, certificates, testimonials, caste certificate (if applicable), experience certificate certificates of NET/GATE/BET or similar examination qualifications, any other testimonials and a copy of recent curriculum vitae (CV) on the day of interview.</p>

<p>More at http://www.tezu.ernet.in/ProjectWalkin/Advt-DoRD-CSE-SSS-20-295-112-A.pdf</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31123/biodownloader</guid>
	<pubDate>Sat, 25 Feb 2017 17:52:33 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31123/biodownloader</link>
	<title><![CDATA[BioDownloader]]></title>
	<description><![CDATA[<p><strong><em>BioDownloader</em></strong> is a program for downloading and/or updating files from ftp/http servers. The program has unique features that are specifically designed to deal with bioinformatics data files and servers:</p>
<ul>
<li>optimized to work with vast amount of data and very large file sets (~ 10,000 - 100,000).</li>
<li>allows the selective retrieval of only the required files (file masks, ls-lR parsing, recursive search, updates)</li>
<li>has a built-in repository containing the settings for the most common bioinformatics download needs</li>
<li>built-in wizard for batch post-processing of downloaded files (archive extraction, file conversion, etc.)</li>
<li>capable of performing multiple download or update tasks simultaneously</li>
</ul>
<p>BioDownloader has a built-in repository containing the settings for common bioinformatics file-synchronization needs, including the Protein Data Bank (PDB) and National Center for Biotechnology Information (NCBI) databases. It can post-process downloaded files, including archive extraction and file conversions.</p>
<p>http://dunbrack.fccc.edu/BioDownloader/</p><p>Address of the bookmark: <a href="http://dunbrack.fccc.edu/BioDownloader/" rel="nofollow">http://dunbrack.fccc.edu/BioDownloader/</a></p>]]></description>
	<dc:creator>Surabhi Chaudhary</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31024/dagchainer-computing-chains-of-syntenic-genes-in-complete-genomes</guid>
	<pubDate>Fri, 17 Feb 2017 16:13:35 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31024/dagchainer-computing-chains-of-syntenic-genes-in-complete-genomes</link>
	<title><![CDATA[DAGchainer: Computing Chains of Syntenic Genes in Complete Genomes]]></title>
	<description><![CDATA[<p>The DAGchainer software computes chains of syntenic genes found within complete genome sequences. As input, DAGchainer accepts a list of gene pairs with sequence homology along with their genome coordinates. Using a scoring function which accounts for the distance between neighboring genes on each DNA molecule and the BLAST E-value score between homologs, maximally scoring chains of ordered gene pairs are computed and reported. This algorithm can be used to mine large evolutionary conserved regions of genomes between two organisms. Alternatively, by examining colinear sets of homologous genes found within a single genome, segmental genome duplications can be revealed.</p>
<p>This software distribution includes both the DAGchainer utility and a Java-based graphical interface that allows the inputs and outputs to be navigated and interrogated dynamically.</p><p>Address of the bookmark: <a href="http://dagchainer.sourceforge.net/" rel="nofollow">http://dagchainer.sourceforge.net/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31089/conpade-genome-assembly-ploidy-estimation-from-next-generation-sequencing-data</guid>
	<pubDate>Fri, 24 Feb 2017 04:55:41 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31089/conpade-genome-assembly-ploidy-estimation-from-next-generation-sequencing-data</link>
	<title><![CDATA[ConPADE: Genome Assembly Ploidy Estimation from Next-Generation Sequencing Data]]></title>
	<description><![CDATA[<p><span>ConPADE (Contig Ploidy and Allele Dosage Estimation), a probabilistic method that estimates the ploidy of any given contig/scaffold based on its allele proportions. In the process, they report findings regarding errors in sequencing. The method can be used for whole genome shotgun (WGS) sequencing data. They also show applicability of the method for variant calling and allele dosage estimation. Results for simulated and real datasets are discussed and provide evidence that ConPADE performs well as long as enough sequencing coverage is available, or the true contig ploidy is low.&nbsp;</span></p>
<p><span>https://github.com/microsoftgenomics</span></p><p>Address of the bookmark: <a href="https://github.com/microsoftgenomics" rel="nofollow">https://github.com/microsoftgenomics</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31139/pbsuite-software-for-long-read-sequencing-data-from-pacbio</guid>
	<pubDate>Mon, 27 Feb 2017 09:54:47 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31139/pbsuite-software-for-long-read-sequencing-data-from-pacbio</link>
	<title><![CDATA[PBSuite: Software for Long-Read Sequencing Data from PacBio]]></title>
	<description><![CDATA[<p><span>PBJelly - the genome upgrading tool.&nbsp;</span><br><span>PBHoney - the structural variation discovery tool&nbsp;</span><br><br><span>Both are contained within the PBSuite code found in downloads.</span><br><br><span>----- PBJelly -----</span><br><span>Read The Paper&nbsp;</span><br><a href="http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0047768" target="_blank">http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0047768</a><br><br><span>PBJelly is a highly automated pipeline that aligns long sequencing reads (such as PacBio RS reads or long 454 reads in fasta format) to high-confidence draft assembles. PBJelly fills or reduces as many captured gaps as possible to produce upgraded draft genomes.&nbsp;</span><br><br><span>----- PBHoney -----</span><br><span>Read The Paper</span><br><a href="http://www.biomedcentral.com/1471-2105/15/180/abstract" target="_blank">http://www.biomedcentral.com/1471-2105/15/180/abstract</a><br><br><span>PBHoney is an implementation of two variant-identification approaches designed to exploit the high mappability of long reads (i.e., greater than 10,000 bp). PBHoney considers both intra-read discordance and soft-clipped tails of long reads to identify structural variants.</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/pb-jelly/" rel="nofollow">https://sourceforge.net/projects/pb-jelly/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31295/mycc-accurate-binning-of-metagenomic-contigs-via-automated-clustering-sequences-using-information-of-genomic-signatures-and-marker-genes</guid>
	<pubDate>Fri, 03 Mar 2017 08:34:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31295/mycc-accurate-binning-of-metagenomic-contigs-via-automated-clustering-sequences-using-information-of-genomic-signatures-and-marker-genes</link>
	<title><![CDATA[MyCC: Accurate binning of metagenomic contigs via automated clustering sequences using information of genomic signatures and marker genes]]></title>
	<description><![CDATA[<p><span>MyCC, an automated binning tool that combines genomic signatures, marker genes and optional contig coverages within one or multiple samples, in order to visualize the metagenomes and to identify the reconstructed genomic fragments.</span></p>
<p><span>More at&nbsp;http://www.nature.com/articles/srep24175</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/sb2nhri/files/MyCC/" rel="nofollow">https://sourceforge.net/projects/sb2nhri/files/MyCC/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31345/prokka-tool-for-the-rapid-annotation-of-prokaryotic-genomes</guid>
	<pubDate>Mon, 06 Mar 2017 03:49:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31345/prokka-tool-for-the-rapid-annotation-of-prokaryotic-genomes</link>
	<title><![CDATA[Prokka: tool for the rapid annotation of prokaryotic genomes]]></title>
	<description><![CDATA[<p>Prokka is a software tool for the rapid annotation of prokaryotic genomes. A typical 4 Mbp genome can be fully annotated in less than 10 minutes on a quad-core computer, and scales well to 32 core SMP systems. It produces GFF3, GBK and SQN files that are ready for editing in Sequin and ultimately submitted to Genbank/DDJB/ENA.</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://www.vicbioinformatics.com/software.prokka.shtml" rel="nofollow">http://www.vicbioinformatics.com/software.prokka.shtml</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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