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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/2728?offset=1110</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41046/iseqqc-a-tool-for-expression-based-quality-control-in-rna-sequencing</guid>
	<pubDate>Sun, 16 Feb 2020 08:47:17 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41046/iseqqc-a-tool-for-expression-based-quality-control-in-rna-sequencing</link>
	<title><![CDATA[iSeqQC: a tool for expression-based quality control in RNA sequencing]]></title>
	<description><![CDATA[<p><span>iSeqQC, an expression-based QC tool that detects outliers either produced due to variable laboratory conditions or due to dissimilarity within a phenotypic group. iSeqQC implements various statistical approaches including unsupervised clustering, agglomerative hierarchical clustering and correlation coefficients to provide insight into outliers.</span></p>
<p><a href="http://cancerwebpa.jefferson.edu/iSeqQC/">http://cancerwebpa.jefferson.edu/iSeqQC/</a></p>
<p><a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-3399-8">https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-3399-8</a></p><p>Address of the bookmark: <a href="https://github.com/gkumar09/iSeqQC" rel="nofollow">https://github.com/gkumar09/iSeqQC</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/21703/coding-ground</guid>
	<pubDate>Tue, 17 Mar 2015 00:47:20 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/21703/coding-ground</link>
	<title><![CDATA[Coding Ground]]></title>
	<description><![CDATA[<p>Online coding group for most of the programming languages.</p>
<p>Code in almost all popular languages using Coding Ground.&nbsp;Edit, compile, execute and share your projects, 100% cloud.</p>
<p>http://www.tutorialspoint.com/codingground.htm</p><p>Address of the bookmark: <a href="http://www.tutorialspoint.com/codingground.htm" rel="nofollow">http://www.tutorialspoint.com/codingground.htm</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42485/fastprongs-fast-preprocessing-of-next-generation-sequencing-reads</guid>
	<pubDate>Sat, 26 Dec 2020 08:35:21 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42485/fastprongs-fast-preprocessing-of-next-generation-sequencing-reads</link>
	<title><![CDATA[FastProNGS: fast preprocessing of next-generation sequencing reads]]></title>
	<description><![CDATA[<p><span>FastProNGS to integrate the quality control process with automatic adapter removal. Parallel processing was implemented to speed up the process by allocating multiple threads. Compared with similar up-to-date preprocessing tools, FastProNGS is by far the fastest.&nbsp;</span></p><p>Address of the bookmark: <a href="https://github.com/Megagenomics/FastProNGS" rel="nofollow">https://github.com/Megagenomics/FastProNGS</a></p>]]></description>
	<dc:creator>Rahul Nayak</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/24464/guest-faculty-job-vacancies-in-pondicherry-university</guid>
  <pubDate>Tue, 22 Sep 2015 23:50:16 -0500</pubDate>
  <link></link>
  <title><![CDATA[Guest Faculty Job vacancies in Pondicherry University]]></title>
  <description><![CDATA[
<p>Guest Faculty Job vacancies in Pondicherry University<br />Qualification : M.Phil. / M.Tech. / M.Sc. in Computer Science / Master of Computer Applications with a minimum of 55% of marks. Candidates with Ph.D. degree and NET/SLET qualification will be given preference as per UGC norms.</p>

<p>Desirable : Research or teaching experience in Bioinformatics and Computational Biology.<br />Honorarium : Rs. 1,000/- per lecture (subject to a maximum of 25,000/- per month)<br />How to apply</p>

<p>Interested eligible candidates may attend the 'walk-in' interview along with all original certificates and testimonials with a copy of their bio-data. Walk-in-interview will be held on 28.09.2015 (Monday), 03:00 P.M. at the office of the Dean, School of Life Sciences, Science Block — I, Pondicherry University, Puducherry — 605 014. Candidates reporting after 03:00 P.M. will not be entertained.</p>

<p>More at http://www.pondiuni.edu.in/news/walk-interview-guest-faculty-centre-bioinformatics</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/26827/kamaleshwar-singh-lab</guid>
  <pubDate>Fri, 25 Mar 2016 10:46:49 -0500</pubDate>
  <link></link>
  <title><![CDATA[Kamaleshwar Singh Lab]]></title>
  <description><![CDATA[
<p>The focus of Dr. Singh’s research and teaching is on the molecular mechanistic basis for environmental carcinogen-induced genetic (DNA damage) and epigenetic changes, and susceptibility to human cancer development</p>

<p>More at http://www.tiehh.ttu.edu/dr.-kamaleshwar-singh.html</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26435/bioinformatics-centre-bose-institute-vacancy-of-research-associate-senior-research-fellow</guid>
  <pubDate>Mon, 22 Feb 2016 03:27:17 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Centre, Bose Institute vacancy of Research Associate / Senior Research Fellow]]></title>
  <description><![CDATA[
<p>Bioinformatics Centre, Bose Institute vacancy of Research Associate / Senior Research Fellow</p>

<p>Location where with post of Research Associate / Senior Research Fellow is available:<br />Bioinformatics Centre, Bose Institute in Kolkata, West Bengal</p>

<p>Title of the Project: "Setting up of National Facility on Interactive Graphics Computer System".</p>

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

<p>Salary: Rs. 22000/- per month plus admissible HRA and Medical Benefits for RA and Rs. 20000/- per month plus admissible HRA and Medical Benefits for SRF (Extended).</p>

<p>Age Limit: Max. 35 years for RA and Max. 33 years for SRF (Extended)</p>

<p>Required Job Profile:</p>

<p>Candidate must possess PhD degree in biological or chemical sciences with in depth understanding of protein structure and function; experience on protein crystallization and various modeling software will be advantages and candidate who have submitted PhD thesis can be considered as extended SRF.</p>

<p>The project would involve cloning, expression, crustallization of vibrio cholera toxin, Ace and modeling of its admissible HRA and medical benefits for SRF (Extended).</p>

<p>How to apply:</p>

<p>Eligible and interested candidates should need to appear before the selection committee along with typed application addressed to the above mentioned address along with biodata with complete details and attested copies of certificates on 02.03.2016 at 11:30 am. No TA or DA will be paid for attending the interview. No TA or DA will be paid for attending the interview.</p>

<p>Refer to http://www.boseinst.ernet.in/ADVT/15/p_30.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25781/bioinformatics-trainee-at-university-of-kalyani</guid>
  <pubDate>Tue, 22 Dec 2015 01:51:42 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Trainee at University of Kalyani]]></title>
  <description><![CDATA[
<p>Bioinformatics Trainee<br />Eligibility : MSc<br />Location : Kolkata<br />Last Date : 28 Dec 2015<br />Hiring Process : Walk - In<br />University of Kalyani </p>

<p>Bioinformatics Trainee Job position in University of Kalyani<br />Number of Posts :  02 <br />Qualification : M.Sc. in any branch of life science with prior knowledge of Bioinformatics <br />Fellowship / Stipend / Salary : As per DBT rules <br />Duration of the Post :  Six months starting from January, 2016 <br />How to apply<br />Walk-in-interview will be held on 28.12.2015 at Department of Biochemistry and Biophysics, University of Kalyani.</p>

<p>More at http://www.klyuniv.ac.in/index.php/recruitments</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/25987/chekulaevalab</guid>
  <pubDate>Tue, 12 Jan 2016 02:32:03 -0600</pubDate>
  <link></link>
  <title><![CDATA[Chekulaevalab]]></title>
  <description><![CDATA[
<p>Focusing on understanding the molecular mechanisms that regulate mRNA translation, localization and stability and role of non-coding RNAs in this process. Up to 90% of human DNA is estimated to be transcribed into so called non-coding RNAs that are not translated into proteins. Many of them act as potent modifiers of gene expression. miRNAs are a class of such short non-coding RNAs. They regulate expression of more than a half of eukaryotic genes, thus, affecting multiple biological processes, including cell proliferation, differentiation, apoptosis and senescence. Not surprisingly, miRNAs are involved in many human pathologies, including cancer and neurological disorders and hold great potential as drug targets, disease markers, as well as therapeutic agents.<br />Our lab is located at the Berlin Institute for Medical Systems Biology (BIMSB), a part of the Max Delbrück Center for Molecular Medicine (MDC).</p>

<p>http://www.chekulaevalab.org/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26567/ra-at-university-of-pune</guid>
  <pubDate>Mon, 07 Mar 2016 03:48:33 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA at University of Pune]]></title>
  <description><![CDATA[
<p>Research Associate Job vacancies in University of Pune on temporary basis</p>

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

<p>Department : Science and Technology</p>

<p>Qualifications : Ph.D. with specialization in Bioinformatics/Machine Learning/ Mathematical Biology/ Computational Biology/ Systems Biology with a minimum of 55% marks in M. Sc. (50% for candidates belongs to reserved category) or equivalent grade.  Candidates who have submitted their Ph.D. thesis and are waiting for award of Ph.D. are also eligible. OR M. Sc. Bioinformatics with two years of research experience in the areas mentioned above, a minimum of 55% marks in M.Sc. (50% for candidates belongs to reserved categories) or equivalent grade and at least one publication in Science Citation Index (SCI) journal. Preference will be given to B.I.N.C. /J.R.F. /N.E.T. /S.E.T. qualified candidates.  </p>

<p>Emoluments : Rs. 20,000/- (Including H.R.A.) per month.<br />How to apply</p>

<p>The complete application along with necessary documents and certificates should reach to 'The Director, Bioinformatics Centre, Savitribai Phule Pune University (Formerly University of Pune), Caneshkhind Road. Pune - 411 007 on or before 21st March, 2016 within official hours except Sundays (i.e. 10.20 am to 06.00 pm).</p>

<p>More at http://collegecirculars.unipune.ac.in/sites/documents/Job%20Openings/Forms/AllItems.aspx</p>
]]></description>
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