<?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/31207?offset=470</link>
	<atom:link href="https://bioinformaticsonline.com/related/31207?offset=470" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<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/bookmarks/view/43795/anchorwave</guid>
	<pubDate>Wed, 23 Feb 2022 08:14:35 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43795/anchorwave</link>
	<title><![CDATA[AnchorWave]]></title>
	<description><![CDATA[<p dir="auto">AnchorWave (Anchored Wavefront Alignment) identifies collinear regions via conserved anchors (full-length CDS and full-length exon have been implemented currently) and breaks collinear regions into shorter fragments, i.e., anchor and inter-anchor intervals. By performing sensitive sequence alignment for each shorter interval via a 2-piece affine gap cost strategy and merging them together, AnchorWave generates a whole-genome alignment for each collinear block. AnchorWave implements commands to guide collinear block identification with or without chromosomal rearrangements and provides options to use known polyploidy levels or whole-genome duplications to inform alignment.</p><p>Address of the bookmark: <a href="https://github.com/baoxingsong/AnchorWave" rel="nofollow">https://github.com/baoxingsong/AnchorWave</a></p>]]></description>
	<dc:creator>Neel</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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44559/metagraph-ultra-scalable-framework-for-dna-search-alignment-assembly</guid>
	<pubDate>Sat, 08 Jun 2024 16:15:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44559/metagraph-ultra-scalable-framework-for-dna-search-alignment-assembly</link>
	<title><![CDATA[MetaGraph: Ultra Scalable Framework for DNA Search, Alignment, Assembly]]></title>
	<description><![CDATA[<p><span>The MetaGraph framework</span><span>&nbsp;is designed to work with a wide range of input data sets, indexing from a few samples up to the contents of entire archives with hundreds of thousands of records. The indexing workflow always follows the same principle, transforming single input samples into error-removed, refined sample graphs, which are then merged into a joint metagraph index. Each input sample is annotated in the joint index as a subgraph. This graph index enriched with metadata can then be used for downstream applications such as&nbsp;</span><a href="https://metagraph.ethz.ch/#query">sequence search</a><span>&nbsp;or&nbsp;</span><a href="https://metagraph.ethz.ch/#assembly">differential assembly</a><span>.</span></p>
<p><span>Searcg link&nbsp;https://metagraph.ethz.ch/search&nbsp;</span></p>
<p><span>Pre-print&nbsp;https://www.biorxiv.org/content/10.1101/2020.10.01.322164v4&nbsp;</span></p><p>Address of the bookmark: <a href="https://metagraph.ethz.ch/" rel="nofollow">https://metagraph.ethz.ch/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33955/crocoblast-optimized-parallel-implementation-of-local-sequence-alignment-algorithms</guid>
	<pubDate>Tue, 25 Jul 2017 05:03:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33955/crocoblast-optimized-parallel-implementation-of-local-sequence-alignment-algorithms</link>
	<title><![CDATA[CrocoBLAST: Optimized parallel implementation of local sequence alignment algorithms]]></title>
	<description><![CDATA[<p><span>Local sequence alignment is a cornerstone of bioinformatics, allowing to compare the amino-acid sequences of different proteins, or the nucleotide sequences of different pieces of DNA. The Basic Local Alignment Search Tool (BLAST) has revolutionized the field of bioinformatics, and is currently implemented in all free and commercial bioinformatics packages. However, with the advent of Next Generation Sequencing (NGS) and the development of new sequencing techniques, the utility of traditional BLAST implementations is limited. CrocoBLAST combines the accuracy and general applicability of BLAST with computational efficiency, accessibility, and user experience, so that NGS data can be analyzed efficiently even when only modest computational resources are available.</span></p>
<p>https://webchem.ncbr.muni.cz/Platform/App/CrocoBLAST</p><p>Address of the bookmark: <a href="https://webchem.ncbr.muni.cz/Platform/App/CrocoBLAST" rel="nofollow">https://webchem.ncbr.muni.cz/Platform/App/CrocoBLAST</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<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>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34569/ksnp30-snp-detection-and-phylogenetic-analysis-of-genomes-without-genome-alignment-or-reference-genome</guid>
	<pubDate>Fri, 08 Dec 2017 16:48:40 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34569/ksnp30-snp-detection-and-phylogenetic-analysis-of-genomes-without-genome-alignment-or-reference-genome</link>
	<title><![CDATA[kSNP3.0: SNP detection and phylogenetic analysis of genomes without genome alignment or reference genome]]></title>
	<description><![CDATA[<p><span>Sept. 20, 2017 Version 3.1 released. Major upgrade. Version 3.1 fixes the problems with SNP annotation that arose when NCBI discontinued use of GI numbers. Please read carefully the Preface (page 3) and the File of annotated genomes section (pages 9-10) in the version 3.1 User Guide. Thanks to Tom Slezak for revsing the get_genbank_file3 script and to Tod Stuber (USDA) for testing version 3.1 even though he doesn't need the annotation feature. All users are encouraged to upgrade to version 3.1.&nbsp;<br></span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/ksnp/files/" rel="nofollow">https://sourceforge.net/projects/ksnp/files/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<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/35432/mummer4-a-fast-and-versatile-genome-alignment-system</guid>
	<pubDate>Sat, 03 Feb 2018 04:59:17 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35432/mummer4-a-fast-and-versatile-genome-alignment-system</link>
	<title><![CDATA[MUMmer4: A fast and versatile genome alignment system]]></title>
	<description><![CDATA[<p><span>MUMmer4, a substantially improved version of MUMmer that addresses genome size constraints by changing the 32-bit suffix tree data structure at the core of MUMmer to a 48-bit suffix array, and that offers improved speed through parallel processing of input query sequences. With a theoretical limit on the input size of 141Tbp, MUMmer4 can now work with input sequences of any biologically realistic length. We show that as a result of these enhancements, the&nbsp;</span><span>nucmer</span><span>&nbsp;program in MUMmer4 is easily able to handle alignments of large genomes;&nbsp;</span></p><p>Address of the bookmark: <a href="https://mummer4.github.io/" rel="nofollow">https://mummer4.github.io/</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>

</channel>
</rss>