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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28269?offset=1040</link>
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	<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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24923/postdoctoral-positions-are-available-at-the-faryabi-lab</guid>
  <pubDate>Sun, 11 Oct 2015 03:36:18 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral positions are available at the Faryabi Lab]]></title>
  <description><![CDATA[
<p>Postdoctoral positions are available at the Faryabi Lab located in the Department of Pathology and the Center for Personalized Diagnostics at the University of Pennsylvania.</p>

<p>A qualified candidate will be strongly motivated individual with following qualifications: a Ph.D. in computational sciences, engineering, physics, bioinformatics, or related field. Ability to program in Python/Perl and R in Unix environment, knowledge of C++, Java, and SQL is a plus. Demonstrated applied bioinformatics/computational proficiency as evidenced by relevant publications in peer-reviewed journals. Experience with cancer genomics is a plus.</p>

<p>The primary research focus of the Faryabi Lab is on developing novel computational methods to study mechanisms involved in genome instability and elucidate their roles in tumorigenesis. In addition the position provides collaborative opportunities with both basic and translational scientists across the Perelman School of Medicine, one of the top 5 medical research universities in the nation.<br />. a Ph.D. degree in either physical or computational sciences<br />. solid programming skills ( Python/Perl, Java, C/C++, R, SQL)<br />. computational genomics experience ( high throughput sequence analysis)<br />. excellent spoken and written communication and interaction skills<br />. publications in English in relevant areas of research in peer-reviewed journals.<br />. Previous experience or interest in data visualization design is a plus.</p>

<p>More at <br />University of Pennsylvania<br />Pathology and Laboratory Medicine<br />Robert B. Faryabi<br />faryabiPenn@gmail.com<br />http://faryabib.github.io/<br />How To Apply:	email CV and contacts of 3 references to faryabiPenn@gmail.com</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37674/qualimap2-evaluating-next-generation-sequencing-alignment-data</guid>
	<pubDate>Tue, 11 Sep 2018 04:44:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37674/qualimap2-evaluating-next-generation-sequencing-alignment-data</link>
	<title><![CDATA[Qualimap2: Evaluating next generation sequencing alignment data]]></title>
	<description><![CDATA[<p><strong>Qualimap 2</strong><span>&nbsp;is a platform-independent application written in Java and R that provides both a Graphical User Inteface (GUI) and a command-line interface to facilitate the quality control of alignment sequencing data and its derivatives like feature counts.&nbsp;</span><br><br><span>Supported types of experiments include:</span></p>
<ul>
<li>Whole-genome sequencing</li>
<li>Whole-exome sequencing</li>
<li>RNA-seq (speical mode available)</li>
<li>ChIP-seq</li>
</ul><p>Address of the bookmark: <a href="http://qualimap.bioinfo.cipf.es/" rel="nofollow">http://qualimap.bioinfo.cipf.es/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25249/research-associatesresearch-fellow-school-of-agricultural-biotechnology-last-date-17-11-2015-and-interview-on-26-11-2015-at-1100-am</guid>
  <pubDate>Fri, 13 Nov 2015 02:46:59 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Associates/Research Fellow - School of Agricultural Biotechnology (Last Date 17-11-2015 and Interview on 26-11-2015 at 11.00 AM)]]></title>
  <description><![CDATA[
<p>PAU Recruitment November 2015, Punjab</p>

<p>Job notification in Punjab Agricultural University (PAU) for research Associate/ Research Fellow posts for different projects. Eligible candidates may apply in prescribed application format on or before 17-11-2015 from 09:00 am to 05:00 pm.</p>

<p>Vacancies:<br />Research Associate/ Research Fellow-03<br />Qualification:<br />Candidates should possess B.Sc. with minimum 50% marks, M.Sc. in Bioinformatics/ Biotechnology/ Genetics/ Plant Breeding/ Plant Breeding &amp; Genetics/ Plant Breeding, Genetics &amp; Biotechnology/ Microbiology/ Biochemistry/ Botany with 65% marks.<br />Selection Process:<br />Selection will be based on interview.<br />How to Apply:<br />Eligible candidates may send their applications along with attested copies of certificates, fee to the Director, School of Agricultural Biotechnology, PAU, Ludhiana on or before 17-11-2015 from 09:00 am to 05:00 pm<br />Last Date:<br />17-11-2015 </p>

<p>More at http://web.pau.edu/content/banner/1349.pdf</p>
]]></description>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39213/flye-fast-and-accurate-de-novo-assembler-for-single-molecule-sequencing-reads</guid>
	<pubDate>Tue, 02 Apr 2019 21:54:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39213/flye-fast-and-accurate-de-novo-assembler-for-single-molecule-sequencing-reads</link>
	<title><![CDATA[Flye: Fast and accurate de novo assembler for single molecule sequencing reads]]></title>
	<description><![CDATA[<p><span>Flye is a de novo assembler for single molecule sequencing reads, such as those produced by PacBio and Oxford Nanopore Technologies. It is designed for a wide range of datasets, from small bacterial projects to large mammalian-scale assemblies. The package represents a complete pipeline: it takes raw PB / ONT reads as input and outputs polished contigs. Flye also includes a special mode for metagenome assembly.</span></p><p>Address of the bookmark: <a href="https://github.com/fenderglass/Flye" rel="nofollow">https://github.com/fenderglass/Flye</a></p>]]></description>
	<dc:creator>BioJoker</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25095/jrf-bioinformatics</guid>
  <pubDate>Mon, 02 Nov 2015 03:24:50 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics]]></title>
  <description><![CDATA[
<p>JRF Bioinformatics</p>

<p>Eligibility : ME/M.Tech, MSc(Bio-Chemistry, Bio-Informatics, Bio-Tech, Microbiology), BE/B.Tech</p>

<p>Location : Gandhinagar</p>

<p>Last Date : 05 Nov 2015</p>

<p>Hiring Process : Face to Face Interview</p>

<p>Junior Research Fellow (JRF) Job vacancies in Gujarat State Biotechnology Mission (GSBTM)</p>

<p>Project : “Establishing a network in computational and system biology”</p>

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

<p>Qualification : MSc. /M.Tech. /B.E. /B.Tech. in Biotechnology/Bioinformatics /Life Sciences /Microbiology /Biochemistry /Genetics from recognized University. Preference would be given to the candidates having NET/GATE.</p>

<p>Fellowship : Rs. 12,000 + 20% HRA<br />How to apply</p>

<p>Applications should be filled Online. The last date for submission of application is 5th November, 2015.</p>

<p>More at http://btm.gujarat.gov.in/btm/recruitment2.htm</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40754/understanding-your-reads-and-mapping</guid>
	<pubDate>Wed, 29 Jan 2020 06:29:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40754/understanding-your-reads-and-mapping</link>
	<title><![CDATA[Understanding your reads and mapping !]]></title>
	<description><![CDATA[<p>One of the best tutorial for beginners ...</p>
<p>https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html</p><p>Address of the bookmark: <a href="https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html" rel="nofollow">https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25149/project-assistant-ii-job-vacancies-in-national-institute-of-oceanography-nio-goa</guid>
  <pubDate>Fri, 06 Nov 2015 01:33:22 -0600</pubDate>
  <link></link>
  <title><![CDATA[Project Assistant-II job vacancies in National Institute of Oceanography (NIO Goa)]]></title>
  <description><![CDATA[
<p>Vacancy no : GAP0423/1509-15</p>

<p>Project Assistant-II job vacancies in National Institute of Oceanography (NIO Goa)</p>

<p>Project Title and Code : Biotechnology Information System. -- GAP0423</p>

<p>Qualification : M.Sc Bioinformatics / Zoology / Botany / Environmental Science. Desirable : Basic understanding of biodiversity concept is desirable</p>

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

<p>Age : 28 Years</p>

<p>Place of Posting : Goa</p>

<p>Consolidated Stipend Per Month : Rs.16000/-</p>

<p>Job Requirement : Collection and handling of biodiversity data as assigned by the scientists and working with in-house biodiversity data management applications and software<br />How to apply</p>

<p>Candidates satisfying requirements may attend the Walk-in-interview on 12.11.2015, 10.00 AM at NIO Dona Paula, Goa-403004 along with their bio-data, attested copies of certificates &amp; mark lists in proof of qualification (SSC onwards), age, experience and testimonials. Candidates should bring a photo identity proof at the time of registration</p>

<p>More at http://www.nio.org/index/option/com_vacgoa/task/show/title/Goa/tid/6/sid/28/thid/64</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25293/srfjrf-bioinformatics-at-national-bureau-of-animal-genetic-resources</guid>
  <pubDate>Thu, 26 Nov 2015 01:54:07 -0600</pubDate>
  <link></link>
  <title><![CDATA[SRF/JRF Bioinformatics at National Bureau of Animal Genetic Resources]]></title>
  <description><![CDATA[
<p>National Bureau of Animal Genetic Resources </p>

<p>SRF Job vacancies in National Bureau of Animal Genetic Resources (NBAGR) on contractual basis</p>

<p>No. of Posts : 03</p>

<p>Qualifications : Master degree in any one of discipline/ Subjects Biotechnology/Bioinformatics/Life Sciences/ Computer Applications with 4 years/5 years of Bachelor’s degree. Candidates having post graduate degree in above mentioned subjects with 3 years Bachelor’s degree should be NET qualified.</p>

<p>Note : i. The Ph.D. Degree holders are eligible for the posts. ii. The Master’s degree holders with the integrated degrees like B.Tech. &amp; M. Tech. (5 years) are eligible. iii. Graduates with three years Bachelor’s degree, who have acquired professional Master’s degree (3 years) like M.Sc. (Ag.), Masters in Computer Applications, M. Tech., etc., are eligible.</p>

<p>Desirable : The candidates should have zeal to work in R environment and NGS data analysis</p>

<p>Emolument : Rs. 28,000/- </p>

<p>Age Limit : 35 year for Men and 40 years for Women in case of SRF on the date of Interview.<br />How to apply</p>

<p>Walk-in-Interview is proposed to be held at National Bureau of Animal Genetic Resources, Karnal (Haryana)-132 001 at 10:30 AM on 02.12.2015. Interested candidates may attend Walk-in-Interview at 10:30 AM on 02.12.2015 alongwith original certificates and typed bio-data with one set of attested copies of each their certificates with passport size photograph.</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25303/ciab-recruits-scientist-engineer-informatics-officer</guid>
  <pubDate>Sat, 28 Nov 2015 03:40:28 -0600</pubDate>
  <link></link>
  <title><![CDATA[CIAB Recruits Scientist, Engineer, Informatics Officer]]></title>
  <description><![CDATA[
<p>Center of Innovative and Applied Bioprocessing (CIAB) - Punjab</p>

<p>Center of Innovative and Applied Bioprocessing (CIAB) invites applications to recruit on vacant posts of Scientist, Associate Plant Manager/ Plant Engineer, Informatics Officer. Applications against these Government Jobs can be submitted on or before 7th January 2016.<br />CIAB Vacancy 2015 Details</p>

<p>9. Research &amp; Development – Informatics Officer<br />Qualification: M. Tech or M.E. in computer science or information technology or bioinformatics with 4 years of R&amp;D experience (after Master’s Degree) in an R&amp;D organization with work profile of large data assembly, analysis.<br />Age Limit: 45 years<br />How to Apply : Duly filled-in applications in prescribed application format along with copies of required documents should be reach to: Chief Exec</p>
]]></description>
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