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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28903?offset=670</link>
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	<description><![CDATA[]]></description>
	
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	<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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23626/walk-ins-for-ra-jrf-and-srf-post-in-nbagr-karnal</guid>
  <pubDate>Tue, 04 Aug 2015 18:50:07 -0500</pubDate>
  <link></link>
  <title><![CDATA[Walk-ins for RA, JRF and SRF post in NBAGR, Karnal]]></title>
  <description><![CDATA[
<p>ICAR-NATIONAL BUREAU OF ANIMAL GENETIC RESOURCES<br />Near Basant Vihar G.T. Road Bypass P.O. Box No.129,<br />Karnal-132001 (Haryana)</p>

<p>A walk-in-Interview is proposed to be held at National Bureau of Animal Genetic Resources, Karnal (Haryana)-132001 at 10:30 AM on 19.08.2015 to select One Research Associate &amp; Three Senior Research Fellow as per details given below:</p>

<p>Name of the project &amp; project period: ICAR Consortium Platform on Genomics.</p>

<p>The post duration is Upto 31.03.2017 or earlier &amp; Co-terminus with the project.</p>

<p>Upto 31.03.2017 or earlier and Coterminus with the project</p>

<p>Essential Qualifications: PhD degree in Bioinformatics OR Master’s degree in Bioinformatics with 4 years/5 years of Bachelor’s degree having 1st division or 60% marks or equivalent overall grade point average, with at least two years of research experience as evidenced from Fellowship/Associateship</p>

<p>Desirable: Working experience in Next Generation Sequencing data analysis</p>

<p>Emolument: Research Associates may be fixed at a consolidated amount at one of the two pay levels given below depending upon the qualification &amp; experience.</p>

<p>I. Research Associate – Master Degree Holders Rs. 38,000/ + HRA II. Research Associate – Doctoral Degree Holder Rs. 40,000/ + HRA</p>

<p>Senior Research Fellow: Two:- Bioinformatics One: - Biotechnology.</p>

<p>Duration of engagement: Upto 31.03.2017 or earlier and Coterminus with the project</p>

<p>Essential Qualifications: Master degree in any one of discipline/ Subjects- Biotechnology/Bioinformatics with 4 years/5 years of Bachelor’s degree.</p>

<p>Candidates having post graduate degree in above mentioned subjects with 3 years Bachelor’s degree should have NET qualification.</p>

<p>Desirable: The candidates should have zeal to work in R environment and NGS data analysis Emolument: Rs. 28,000/- per month + HRA as per admissibility</p>

<p>Age Limit: 1. 40 year for Men and 45 years for Women in case of RA on the date of Interview. 2. 35 year for Men and 40 years for Women in case of SRF on the date of Interview. (Relaxation for SC/ST/OBC and PHC as per GOI/ICAR rules) The above positions are purely temporary and will be filled in on Contractual basis. The selected candidate shall have no right/claim for regular appointment at this Institute, as the engagement is co-terminus with the Project/Scheme.</p>

<p>Interested candidates may attend Walk-in-Interview at 10:30 AM on 19.08.2015 alongwith original certificates and typed bio-data with one set of attested copies of each their certificates with passport size photograph. No TA/DA will be paid for attending the interview. All eligible candidates are advised to be present at least 30 minutes before scheduled time on the date of interview for completing necessary formalities. Canvassing in any form will disqualify the candidates. </p>

<p>More at http://210.212.93.85/Advertisiment3.pdf</p>
]]></description>
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	<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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21794/research-associate-biotechnology-bioinformatics-in-national-research-centre-on-plant-biotechnology-%E2%80%93-new-delhi</guid>
  <pubDate>Sun, 29 Mar 2015 21:13:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate (Biotechnology, Bioinformatics) In National Research Centre on Plant Biotechnology – New Delhi]]></title>
  <description><![CDATA[
<p>Pay Scale:Rs.24000+ 30% HRA) for Ph.D. and for M. Sc Rs.23000/‐ (+ 30% HRA)<br />Educational Requirements:Ph.D. Degree in Bioinformatics/Molecular Biology/Biotechnology/ Genetics/allied sciences; or M. Sc in Bioinformatics/ Biotechnology/Life Sciences/ allied sciences with 1st division or 60% marks or equivalent overall grade point average with at least two years of research experience as evidenced from Fellowship/ Associate ship<br />Experience Requirements:2 years research experience in bioinformatic data analysis/molecular biology techniques, and high throughput DNA/RNA sequencing, and transcriptome data analysis. Research paper with IF&gt;1 will be desirable<br />+Details will be available at: http://www.nrcpb.org/sites/default/files/ICAR-NPTC%20DBT%20RA%20SRF%20interview%2024th%20March.pdf</p>

<p>No of Post: 01<br />How To Apply: Walk-in interview will be held on 24-03-2015 at 10:00 AM at NRCPB, New Delhi for filling Research Associate and Senior Research Fellow positions as mentioned below. The positions are temporary and are initially offered for a period of one year. Details such as emoluments, qualifications, application format etc., are given below. Desirous candidates should report for interview latest by 10:30 AM with the application in the prescribed format, copies and originals of certificates, thesis and documents. No TA/DA will be provided for attending the interview<br />General Instructions: The positions are purely temporary, on a contractual basis and are initially offered for one year. The period and duration of the scheme is tentative and the same may change. The person employed will have no right to claim employment or engagement in ICAR at the end of the contract period. No TA/DA will be provided for appearing in the interview. Persons already in employment should bring “No Objection Certificate” from their present employer. The candidates must bring with them five copies of the CV in the format given below along with original documents such as t h e s i s , degree certificates, marks sheets, publications, experience certificate etc. for verification and one set of self attested copy of all certificates. The decision of the Project Director of this Institute will be final and binding in all aspects. In case of any disputes, it will be resolved within the jurisdiction of New Delhi Court only.<br />Detail of Interview: 24-03-2015<br />Age Limit: 35 Years<br />Contact Details: Ph: 011-25848783; Fax: 25843984</p>
]]></description>
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	<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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22147/research-associate-bioinformatics-job-position-in-nipgr</guid>
  <pubDate>Sun, 19 Apr 2015 14:55:19 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatics job position in NIPGR]]></title>
  <description><![CDATA[
<p>NIPGR Recruitment 2015 – Apply for Research Associate Posts</p>

<p>NIPGR is commonly known as National Institute of Plant Genome Research. Recently, it’s great opportunity for those candidates who are interested to do job in NIPGR. National Institute of Plant Genome Research (NIPGR) had found to build a bridge between the branches of natural sciences and due this connection it is steeping on the heaps of success. Its objectives to preserve, research, production and the advancement in the trait are very clear and also being appreciated by the nation and had been contributing for the further enrichment of the institute. NIPGR had announced the recruitment to further make improvements and amendments by the young potential in their panel. The recruitment is being announced for the post is mentioned below. We are giving a complete information to applicants for find their eligibility as per desired post under NIPGR Recruitment 2015 project but if the candidates are not satisfied with this information then they can download an official advertisement of NIPGR recruitment 2015 from the link defined ahead under the head of reference.</p>

<p>NIPGR Recruitment 2015 for the 1 post of Research Associate: National Institute of Plant Genome Research (NIPGR) had instigated the progression of the recruitment and this process is linked thoroughly so as the 1 post of Research Associate. Applicants are associated and linked with the education to be PHD degree in the life science, biotechnology, bioinformatics or molecular biology. Applicants are associated with the dispatch of the application along with the required certificates so as on the date of 24th Feb 2015.</p>

<p>The recruitment notification and application @ http://www.nipgr.res.in/careers/vacancies_latest.php#</p>
]]></description>
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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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/22073/bcil-bioinformatics-bitp-application</guid>
	<pubDate>Fri, 17 Apr 2015 04:34:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/22073/bcil-bioinformatics-bitp-application</link>
	<title><![CDATA[BCIL Bioinformatics BITP Application !!]]></title>
	<description><![CDATA[<p>BCIL Bioinformatics BITP Application Form 2015 logoGrab latest Information! Biotech Consortium India Limited has announced a notification for offering admission in Biotech Industrial Training Program. The organization has invited online application from 7th April 2015 BCIL Admission 2015. BCIL has conducted an entrance exam which is scheduled on 20th June 2015. Candidates those who are looking for this program just go for it and don&rsquo;t miss this opportunity.<br /><br />To apply for Biotech Industrial Training Programme the candidates should have 50% marks in B.Tech/BE/M.Tech Degree in Bio technology, bio process technology and other related disciplines form any recognized institution. The organization has decided application fee of Rs.500/- for all candidates and that should be paid through demand draft. Applicants who satisfy the organization requirement, they can take their steps forward.<br /><br />Candidates should submit the online application before 10th May 2015. After registering the online application you need to take the hard copy of it and send through post. Print out of this application should be reached before 15th May 2015. All the latest updates like selection process, exam syllabus and other related information are updated soon at the main URL of the department and aspirants should keep in touch with this site. Further details of BCIL Bioinformatics BITP Application Form 2015 are explained below.<br /><br />Organization: Biotech Consortium India Limited<br /><br />Website URL: www.bcil.nic.in<br /><br />Location: New Delhi<br /><br />Course Name: Biotech Industrial Training Program<br /><br />Exam Name: BCIL Entrance Exam<br /><br />Educational Details: Applicants should complete their B.Tech/M.Tech/BE programs in Neuro- Science, Agricultural, Bio technology, bio process technology and other related disciplines having 50% aggregate from any authorized university.<br /><br />Application Fee: For all candidates application fee is Rs.500/- and it will be paid through Demand Draft drawn in favour of BCIL, New Delhi.<br /><br />How to Apply: Candidates who are willing to apply for this program they can apply through online mode. Then send the hard copy of registered application form to through post.<br /><br />Important Dates<br /><br />Opening Date of Submission Online Application Form: 7h April 2015<br /><br />Closing Date of Submission of Online Application Form: 10th May 2015<br /><br />Last Date of Receipt of Application Form: 15th May 2015<br /><br />Exam Date: 20th June 2015</p><p>More at http://bcil.nic.in/default.htm</p>]]></description>
	<dc:creator>Pranjali Yadav</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34940/jpred4-a-protein-secondary-structure-prediction-server</guid>
	<pubDate>Fri, 29 Dec 2017 16:14:28 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34940/jpred4-a-protein-secondary-structure-prediction-server</link>
	<title><![CDATA[JPred4: A Protein Secondary Structure Prediction Server]]></title>
	<description><![CDATA[<p><span>JPred4 (</span><a href="http://www.compbio.dundee.ac.uk/jpred4" target="">http://www.compbio.dundee.ac.uk/jpred4</a><span>) is the latest version of the popular JPred protein secondary structure prediction server which provides predictions by the JNet algorithm, one of the most accurate methods for secondary structure prediction.</span></p><p>Address of the bookmark: <a href="http://www.compbio.dundee.ac.uk/jpred4/" rel="nofollow">http://www.compbio.dundee.ac.uk/jpred4/</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22024/research-associate-bioinformatics-job-position-in-indian-agricultural-statistics-research-institute-iasri-pusa-new-delhi</guid>
  <pubDate>Tue, 14 Apr 2015 11:57:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatics job position in Indian Agricultural Statistics Research Institute (IASRI), Pusa, New Delhi]]></title>
  <description><![CDATA[
<p>Indian Agricultural Statistics Research Institute is inviting applications from indian citizens for recruiting following posts:</p>

<p>Vacancies:<br />Research Associate-02<br />Age Limits:<br />Candidates age limit should be not more than 40 years as on date of interview.<br />Qualification:<br />Candidates should possess Ph.D in Bioinformatics/Agricultural Statistics/Statistics/Computer Science/Computer Application or equivalent.<br />Selection Process:<br />Selection will be based on interview.<br />How to Apply:<br />Eligible candidates may attend for interview along with application in prescribed format, recent passport size photograph pasted on the application form, bio-data, original certificates and self attested copies of relevant documents, all experience certificates, testimonials etc, held at Indian Agricultural Statistics Research Institute, Pusa, New Delhi on 18-04-2015 at 10:30 AM.<br />Last Date:<br />18-04-2015</p>
]]></description>
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