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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/29018?offset=1240</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42917/fings-filters-for-next-generation-sequencing</guid>
	<pubDate>Sat, 27 Feb 2021 01:18:35 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42917/fings-filters-for-next-generation-sequencing</link>
	<title><![CDATA[FiNGS: Filters for Next Generation Sequencing]]></title>
	<description><![CDATA[<h2>Key features</h2>
<ul>
<li><strong>Filters SNVs from any variant caller to remove false positives</strong></li>
<li><strong>Calculates metrics based on BAM files and provides filtering not possible with other tools</strong></li>
<li><strong>Fully user-configurable filtering (including which filters to use and their thresholds)</strong></li>
<li><strong>Option to use filters identical to ICGC recommendations</strong></li>
</ul>
<p>FiNGS provides researchers with a tool to reproducibly filter somatic variants that is simple to both deploy and use, with filters and thresholds that are fully configurable by the user. It ingests and emits standard variant call format (VCF) files and will slot into existing sequencing pipelines. It allows users to develop and implement their own filtering strategies and simple sharing of these with others.</p>
<p>FiNGS reliably improves upon the precision of default variant caller outputs and performs better than other tools designed for the same task.</p><p>Address of the bookmark: <a href="https://github.com/cpwardell/FiNGS" rel="nofollow">https://github.com/cpwardell/FiNGS</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/19992/binc-examination-2015</guid>
	<pubDate>Mon, 29 Dec 2014 12:23:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/19992/binc-examination-2015</link>
	<title><![CDATA[BINC examination 2015 !!!]]></title>
	<description><![CDATA[<p>Pondicherry University,Puducherry,on behalf of Department of Biotechnology, Government of India, will conduct the BINC examination in 2015. The objective of this examination is to certify bioinformatics professionals, trained formally as well as self-trained.Registration for BINC examination 2015 will open soon.</p><p>Pondicherry University Puducherry has been identified as a nodal agency by the Department of Biotechnology, Govt. of India to coordinate this examination along with nine centres namely, Pune University, Pune; Anna University, Chennai; Calcatta University (WBUT) Kolkata; Institute of Bioinformatics &amp; Applied Biotechnology, Bangalore; North-Eastern Hill University, Shillong, University of Hyderabad, Hyderabad; University of Kerala, Thiruvananthapuram; Jawaharlal Nehru University, New Delhi and Assam Agricultural University, Guwahati.</p><p>In the BINC 2013 examination,17 candidates were certified. DBT has agreed to fund Research fellowships for all the BINC qualified Indian nationals to pursue Ph.D. in Indian Institutes/Universities. Note that the candidate must possess a postgraduate degree(or equivalent) &amp; meet the criteria of the institutes/universities in order to avail research fellowship. In addition, cash prize of Rs. 10,000/- will be awarded to the top 10 BINC qualifiers.<br /><br /></p><p>More at http://210.212.230.224:9999/BINC/</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/44672/libraries-or-management-tools-for-high-throughput-sequencing-data</guid>
	<pubDate>Fri, 04 Oct 2024 02:45:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/44672/libraries-or-management-tools-for-high-throughput-sequencing-data</link>
	<title><![CDATA[Libraries or management tools for high throughput sequencing data]]></title>
	<description><![CDATA[<ul>
<li><a href="http://gatb.inria.fr/"><span>GATB</span></a>&nbsp;Library.&nbsp;The&nbsp;<span>Genome Analysis Toolbox with de-Bruijn graph.&nbsp;</span>A large part of tools developed by the GenScale team are based on this library.<br />These methods enable the analysis of data sets of any size on multi-core desktop computers, including very huge amount of reads data coming from any kind of organisms such as bacteria, plants, animals and even complex samples (<em>e.g.</em>&nbsp;metagenomes). Among them are (the full is available here:&nbsp;<a href="https://gatb.inria.fr/software/">https://gatb.inria.fr/software/</a>):</li>
<li><a href="https://github.com/morispi/LRez"><span>LRez</span></a>: C++ Library and toolkit for the barcode-based management and indexation of linked-read datasets.</li>
</ul><h2>Variant calling and/or genotyping</h2><ul>
<li><a href="https://gatb.inria.fr/software/discosnp/" title="DiscoSNP">DiscoSNP++ and&nbsp;discoSnpRAD</a>: Reference-free small variant discovery (SNPs and indels)</li>
<li><a href="https://gatb.inria.fr/software/mind-the-gap/" title="MindTheGap">MindTheGap</a>: Detection and assembly of large insertion variants</li>
<li><a href="https://gatb.inria.fr/software/takeabreak/" title="TakeABreak">TakeABreak</a>:&nbsp;reference-free inversion discovery tool</li>
<li><a href="https://github.com/llecompte/SVJedi">SVJedi</a>: Structural Variant genotyper with long read data</li>
<li><a href="https://github.com/SandraLouise/SVJedi-graph">SVJedi-graph</a>: Structural Variant genotyper with long read data using a variation graph</li>
</ul><h2>Sequence assembly</h2><ul>
<li><a href="https://github.com/cguyomar/MinYS">MinYS</a>: reference-guided genome assembly in metagenomics data</li>
<li><a href="https://github.com/anne-gcd/MTG-Link">MTG-link</a>: local assembly tool for linked-read data</li>
<li><a href="https://gatb.inria.fr/software/minia/" title="Minia">Minia</a>: De novo short read assembler</li>
<li><a href="https://gatb.inria.fr/de-novo-genome-assembly/">de-novo pipeline</a>:&nbsp;<em>de-novo</em>&nbsp;assembly pipeline (error correction / contigs / scaffolding) for genomes and meta-genomes</li>
<li><a href="https://gatb.inria.fr/software/mapsembler/" title="Mapsembler2">Mapsembler2</a>: Targeted assembly (not maintained)</li>
</ul><h2>Managing k-mers &amp; indexation</h2><ul>
<li><a href="https://github.com/lrobidou/findere">findere</a>:&nbsp;simple strategy for speeding up queries and for reducing false positive calls from any Approximate Membership Query data structure.
<ul>
<li><a href="https://github.com/lrobidou/fimpera">fimpera</a>&nbsp;extends findere adding the abundance information.</li>
</ul>
</li>
<li><a href="https://github.com/tlemane/kmtricks">kmtricks</a>:&nbsp;modular tool suite for counting kmers, and constructing Bloom filters or kmer matrices, for large collections of sequencing data.</li>
<li><a href="https://github.com/tlemane/kmindex">kmindex&nbsp;</a>is a tool for indexing and querying sequencing samples. It is built on top of kmtricks.</li>
<li><a href="https://github.com/pierrepeterlongo/back_to_sequences">back to sequences</a>: Find sequences (reads, unitigs, genes) related to a set of kmers in large datasets, in a matter of seconds.</li>
<li><a href="https://github.com/vicLeva/bqf">Backpack Quotient Filter</a>:&nbsp;k-mer indexing data structure with abundance</li>
<li><a href="http://github.com/GATB/rconnector">short read connector</a>:&nbsp;Detect similar reads from potentially large read set</li>
<li><a href="https://gatb.inria.fr/software/dsk/" title="DSK">DSK</a>:&nbsp;Count K-mer in sequences</li>
</ul><h2>Pangenome graph manipulation</h2><ul>
<li><a href="https://github.com/Tharos-ux/pancat">Pancat</a>: Pangenome Comparison and Analysis Toolkit</li>
<li><a href="https://pypi.org/project/gfagraphs/">GFAGraphs</a>: a Python library to handle pangenome graph files in GFA format.</li>
</ul><h2>Comparative metagenomics with k-mers</h2><ul>
<li><a href="https://github.com/GATB/simka">Simka and SimkaMin</a>:&nbsp;Comparative metagenomics for large-scale datasets</li>
<li><a href="https://team.inria.fr/genscale/high-throughput-sequence-analysis/compreads-metagenomic-data-analysis/">Comparead &amp; Commet</a>:&nbsp;comparison of metagenomic datasets</li>
</ul><h2>Species and bacterial strains identification</h2><ul>
<li><a href="https://github.com/gsiekaniec/ORI">ORI</a>: software using long nanopore reads to identify bacteria present in a sample at the strain level</li>
<li><a href="https://github.com/kevsilva/StrainFLAIR">StrainFLAIR</a>:&nbsp;STRAIN-level proFiLing using vArIation gRaph</li>
</ul><h2>General-purpose sequencing data manipulation</h2><ul>
<li><a href="https://team.inria.fr/genscale/ngs-software/gassst/">GASSST</a>:&nbsp;long read mapper</li>
<li><a href="https://gatb.inria.fr/software/leon/" title="Leon">Leon</a>: short read compressor (now included in GATB-core)</li>
<li><a href="https://gatb.inria.fr/software/bloocoo/" title="Bloocoo">Bloocoo</a>:&nbsp;short read corrector</li>
<li><a href="https://github.com/GATB/bcalm">BCALM</a>:&nbsp;Construct compacted de Bruijn graphs (unitigs)</li>
</ul><h2>&nbsp;Protein Structure</h2><ul>
<li><a href="https://team.inria.fr/genscale/protein-structure/a-purva-contact-map-overlap-solver/">A_Purva</a>:&nbsp;Contact Map Overlap solver</li>
<li><a href="https://team.inria.fr/genscale/protein-structure/md-jeep-distance-geomtry-solver/">MD-Jeep</a>:&nbsp;Distance Geometry solver</li>
<li><a href="https://team.inria.fr/genscale/csa-comparative-structural-alignment/">CSA</a>:&nbsp;Comparative Structural Alignment</li>
</ul><h2>Workflow</h2><ul>
<li><a href="https://team.inria.fr/genscale/workflows/slicee/">SLICEE</a>:&nbsp;parallel execution of bioinformatics workflows</li>
</ul><h3>Comparative Genomics</h3><ul>
<li><a href="https://team.inria.fr/genscale/comparative-genomics/cassis/">CASSIS</a>:&nbsp;detection of rearrangement breakpoints</li>
<li><a href="https://team.inria.fr/genscale/high-throughput-sequence-analysis/plast-intensive-sequence-comparison/">PLAST</a>:&nbsp;intensive bank-to-bank sequence comparison</li>
<li><a href="https://github.com/stephanierobin/DrjBreakpointFinder">DRJBreakpointFinder</a>: detection and precise localization of excision sites in proviral segments</li>
</ul>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/20448/jrf-in-bioinformatics-nehu</guid>
  <pubDate>Tue, 20 Jan 2015 22:57:49 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF in Bioinformatics @ NEHU]]></title>
  <description><![CDATA[
<p>Department of Botany &amp; Bioinformatics Centre<br />NORTH-EASTERN HILL UNIVERSITY, SHILLONG 793022</p>

<p>Applications with complete bio-data from candidates possessing the required qualifications are invited for the posts of JRF (2) and Project Assistant (1) in</p>

<p>DBT, GOI-funded research project “Next Generation Sequencing (NGS)- based de novo assembly of expressed transcripts and genome information of Orchids in North-East India” in DBT’s Twinning programme for NE as per DBT sanction order and norms.</p>

<p>(i) JRF(2 nos.):</p>

<p>Qualifications: M.Tech/M.Sc in Life Sciences/ Botany/ Zoology/Biochemistry/ Biotechnology/ Bioinformatics; Desirable: Aptitude for Bioinformatics and Computer Programming/ Next generation sequencing data analysis</p>

<p>(ii) Project Assistant (1 no.):</p>

<p>Qualifications: Graduation in Science, Desirable: Experience of working in a Life Science/Plant Biotechnology lab. and familiarity with computers and field work viz. collection of samples.</p>

<p>The applications through email bicnehu@gmail.com or post must reach the undersigned<br />within 15 days from the date of publication of this advertisement. The advertised posts are purely temporary for the duration of the project and subject to availability of the funds from DBT. The appointment does not confer any entitlement or right over the posts for absorption in the University service.</p>

<p>Advertisement: www.nehu.ac.in/Advertisements/BICAdvtPV_200115.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/34711/1mb-long-dna-with-nanopore-technology</guid>
	<pubDate>Tue, 19 Dec 2017 18:49:28 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/34711/1mb-long-dna-with-nanopore-technology</link>
	<title><![CDATA[1mb long DNA with Nanopore technology]]></title>
	<description><![CDATA[<p>The first continuous DNA read of more than a million bases (&gt;1Mb) has been achieved, using Oxford Nanopore sequencing technology. Congratulations to Martin Smith and collaborators! Read more: http://bit.ly/2j5TNCO</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/20362/20th-international-bioinformatics-workshop-on-virus-evolution-and-molecular-epidemiology-veme</guid>
  <pubDate>Mon, 12 Jan 2015 01:39:45 -0600</pubDate>
  <link></link>
  <title><![CDATA[20th International BioInformatics Workshop on Virus Evolution and Molecular Epidemiology (VEME)]]></title>
  <description><![CDATA[
<p>20th International BioInformatics Workshop on Virus Evolution and Molecular Epidemiology (VEME)<br />9 - 14 August 2015 St. Augustine, Trinidad and Tobago </p>

<p>Organiser: Christine Carrington (University of the West Indies - UWI, St. Augustine, Trinidad and Tobago)<br />Co-organisers: Anne-Mieke Vandamme, Philippe Lemey (Katholieke Universiteit Leuven, Belgium), Marco Salemi, Mattia Prosperi (University of Florida, Gainesville, USA) and Karen E. Nelson (J. Craig Venter Institute, Rockville, USA)</p>

<p>Requests for information directly to:<br />Christine Carrington<br />Department of Preclinical Sciences<br />Faculty of Medical Sciences<br />University of the West Indies (UWI)<br />St. Augustine<br />Trinidad and Tobago<br />Telephone: +1-868-6452640 ext. 5009, +1-868-6848803<br />Fax: +1-868-6621873<br />E-mail: veme2015@sta.uwi.edu</p>

<p>Deadline for receipt of applications by local organiser: 15 March 2015<br />CALL FOR APPLICATIONS NOW OPEN<br />http://www.icgeb.org/course-application-trinidad-and-tobago-2015.html</p>

<p>http://rega.kuleuven.be/cev/veme-workshop/2015</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38535/nanopack-visualizing-and-processing-long-read-sequencing-data</guid>
	<pubDate>Tue, 25 Dec 2018 21:20:50 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38535/nanopack-visualizing-and-processing-long-read-sequencing-data</link>
	<title><![CDATA[NanoPack: visualizing and processing long-read sequencing data]]></title>
	<description><![CDATA[The NanoPack tools are written in Python3 and released under the GNU GPL3.0 License. The source code can be found at https://github.com/wdecoster/nanopack, together with links to separate scripts and their documentation. The scripts are compatible with Linux, Mac OS and the MS Windows 10 subsystem for Linux and are available as a graphical user interface, a web service at http://nanoplot.bioinf.be and command line tools.<p>Address of the bookmark: <a href="https://github.com/wdecoster/nanopack" rel="nofollow">https://github.com/wdecoster/nanopack</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/20437/wuxi-has-acquired-nextcode-health</guid>
	<pubDate>Mon, 19 Jan 2015 08:17:35 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/20437/wuxi-has-acquired-nextcode-health</link>
	<title><![CDATA[WuXi has acquired NextCODE Health]]></title>
	<description><![CDATA[<p>Shanghai, China-headquartered pharmatech company WuXi (NYSE: WX) has acquired NextCODE Health, a genomic analysis and bioinformatics company based in the USA.<br /><br />The acquisition was made for $65 million in cash, and WuXi plans to merge its genome center with NextCODE Health to form a new company, WuXi NextCODE Genomics. The business will be headquartered in Shanghai and have operations in Cambridge, Massachusetts, and Reykjavik, Iceland.<br /><br />With the huge unmet medical needs in diseases with a genetic component and the rapid advances in genomics and bioinformatics, now is the right time for WuXi to make a strategic investment in this field, and NextCODE is the right partner. This new venture of WuXi NextCODE Genomics will create important new genomic and bioinformatic products and services to help make personalized treatment and medicine a reality.&nbsp; It will also enable doctors to provide better treatments to patients.<br /><br /></p>]]></description>
	<dc:creator>Pranjali Yadav</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40699/kevler-reference-free-variant-discovery-in-large-eukaryotic-genomes</guid>
	<pubDate>Tue, 28 Jan 2020 03:21:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40699/kevler-reference-free-variant-discovery-in-large-eukaryotic-genomes</link>
	<title><![CDATA[Kevler: Reference-free variant discovery in large eukaryotic genomes]]></title>
	<description><![CDATA[<p><span>Welcome to&nbsp;</span><span>kevlar</span><span>, software for predicting&nbsp;</span><em>de novo</em><span>&nbsp;genetic variants without mapping reads to a reference genome! kevlar's&nbsp;</span><em>k</em><span>-mer abundance based method calls single nucleotide variants (SNVs), multinucleotide variants (MNVs), insertion/deletion variants (indels), and structural variants (SVs) simultaneously with a single simple model.&nbsp;</span></p>
<p><span>More at&nbsp;<a href="https://kevlar.readthedocs.io/en/latest/">https://kevlar.readthedocs.io/en/latest/</a></span></p>
<p><span><a href="https://www.cell.com/iscience/pdf/S2589-0042(19)30259-7.pdf">https://www.cell.com/iscience/pdf/S2589-0042(19)30259-7.pdf</a></span></p><p>Address of the bookmark: <a href="https://github.com/kevlar-dev/kevlar" rel="nofollow">https://github.com/kevlar-dev/kevlar</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21200/ra-bioinformatics-at-ciba</guid>
  <pubDate>Fri, 13 Feb 2015 11:23:18 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at CIBA]]></title>
  <description><![CDATA[
<p>Recruitment The following posts are to be filled purely on temporary basis under CIBA Component of “Centre for Agricultural Bioinformatics (CABin)” project at this Institute.</p>

<p>Posts Research Associate</p>

<p>Date &amp; Time of Interview 18th Feb 2015 at 10.00 a.m.</p>

<p>Project Name “Centre for Agricultural Bioinformatics (CABin)”</p>

<p>Duration 12th Plan (2012-2017) / co-terminus with the project 12th Plan (2012-2017) / co-terminus with the project</p>

<p>Essential Qualification Ph.d / M.Sc./ M.Phil (Bioinformatics) With 1st division or 60% marks or equivalent overall grade point average with at least two years of research experience in the relevant subject.</p>

<p>Technician</p>

<p>B.Tech. or Master degree in computer science/Computer Engineering /MCA or equivalent. Desirable qualification: Experience in Java/ C++/ PHP/ PERL/ Python etc. based application development using Linux, Apache and MySQL/Oracle.</p>

<p>Emoluments Rs.24000/- p.m. + 30% HRA for Ph.D holders / Rs.23000/- p.m. + 30% HRA for Master Degree holders A consolidated pay Rs.25000/- per month.</p>

<p>Age Limit Maximum 40 years for men and 45 years for women as on date of interview.</p>

<p>Age limits are relaxable for SC / ST / OBC candidates as per rules.</p>

<p>Maximum 40 years for men and 45 years for women as on date of interview.</p>

<p>Age limits are relaxable for SC / ST / OBC candidates as per rules.</p>

<p>Eligible Candidates may send their Curriculum Vitae along with the contact numbers to ashok@ciba.res.in on or before 13-02-2015.</p>

<p>Candidates selected after initial screening will be called for interview.</p>

<p>Advertisement: www.ciba.res.in/attachments/jobs/CABin-3006.pdf</p>
]]></description>
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