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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/1886?offset=750</link>
	<atom:link href="https://bioinformaticsonline.com/related/1886?offset=750" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/6961/research-assistant-national-bureau-of-animal-genetic-resources</guid>
  <pubDate>Tue, 03 Dec 2013 06:17:34 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Assistant @ NATIONAL BUREAU OF ANIMAL GENETIC RESOURCES]]></title>
  <description><![CDATA[
<p>NATIONAL BUREAU OF ANIMAL GENETIC RESOURCES<br />Near Basant Vihar G.T. Road Bypass<br />P.O. Box No.129, Karnal-132001 (Haryana)</p>

<p>WALK-IN-INTERVIEW</p>

<p>A walk-in-Interview is proposed to be held at National Bureau of Animal Genetic Resources, Karnal (Haryana)-132001 at 11:30 AM on 18.12.2013 to select One RA and One SRF as per details given below:</p>

<p>1. One post of Research Associate under DBT sponsored Support under BIPP for the “SanGenix: A comprehensive Next Generation Sequence (NGS) data analysis solution” as Grants in AID. Thepost duration is Upto 31st March 2015 or earlier.</p>

<p>2. One post of Senior Research Fellow under NAIP (Component-4) Bioprospecting of genes and allele mining for abiotic stress tolerance. The post duration is Upto 31st March 2014 or earlier</p>

<p>Essential Qualifications: Ph.D. in Bioinformatics/ Computer Application or<br />First Class Masters degree in Bioinformatics/ Computer Application with two years experience as evidenced by Publications.</p>

<p>Desirable: Experience in the field of handling Next generation Sequencing Data.</p>

<p>Emolument: Rs. 22,000/- per month + HRA as per admissibility</p>

<p>Age Limit:</p>

<p>40 years for Men<br />45 years for women as on date of interview</p>

<p>Research Associate: ONE</p>

<p>Duration of engagement: Upto</p>

<p>31st March 2015 or earlier &amp; Coterminus with the project</p>

<p>Responsibilities: To help the PI for Beta testing and development of the SanGenix Tool for NGS data.</p>

<p>Essential Qualifications: First Class Masters’ degree in Bioinformatics/Biotechnology.</p>

<p>Desirable: Experience in the field of Biotechnology/ Bioinformatics</p>

<p>Emoluments:</p>

<p>Rs. 16,000/- per month + HRA as per admissibility.<br />Senior Research Fellow: ONE<br />Duration of engagement: Upto 31st March 2014 or earlier &amp; Coterminus with the project</p>

<p>Age Limit</p>

<p>35 years for men<br />40 years for women as on date of interview</p>

<p>Note: Relaxation in age will be admissible for SC/ST &amp; OBC candidates as per Govt. of India /ICAR norms</p>

<p>1. The applicants must bring with them original documents and brief of research work done during post graduation along with a set of photocopy and latest two passport size photographs.<br />2. A panel of selected candidates will also be made which may be utilized for filling of positions of shorter durations in future if demand arises.<br />3. Experience certificate in original, if any 4. The above positions are purely on temporary basis and are co-terminus with the project. No TA/DA will be paid to attend the interview.<br />5. Any other clarifications can be had on the date of interview.<br />6. The Director’s decision will be final and binding on all respects.</p>

<p>Advertisement: http://210.212.93.85/rasrfadvertise.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/42813/bioinformatics-in-africa-part5-nigeria</guid>
	<pubDate>Sat, 06 Feb 2021 21:13:47 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/42813/bioinformatics-in-africa-part5-nigeria</link>
	<title><![CDATA[Bioinformatics in Africa: Part5 - Nigeria]]></title>
	<description><![CDATA[<p>Covenant University (CU)&shy;Ota:<br />Covenant University (with her enriching and growing state&shy;of&shy;the&shy;art laboratories in the area of &nbsp;science and technology, arts, business and social sciences) is presently the Best University in &nbsp;Nigeria (Private University category), based on the recent over&shy;all rating just concluded by the &nbsp;Nigeria &nbsp; University &nbsp; Commission &nbsp; (NUC). &nbsp; Recently, &nbsp; Covenant &nbsp; University &nbsp; has &nbsp; initiated &nbsp; the &nbsp;establishment of a Centre for Applied Biotech, Bio&shy;Informatics and Microbiology (CBBM) to be &nbsp;situated at the University. The institute has been designed to be a Public&shy;Private Partnership for a productive synergy b/w Academia, Industry and Government. The whole concept is still evolving &nbsp;and more details will be release soon. As regards CBBM, a dedicated computing lab is in plan, but even our computing capacity is &nbsp;presently enormous. In the department of Computer and Information Sciences, we have more than &nbsp;250 Pentium 4 PCs set aside for teaching and research purposes. Furthermore, we have several &nbsp;moderate speed PCs at the Postgraduate research lab and our engineering departments and units. &nbsp;Our wet lab facilities is presently minimal (basic for teaching), the Centre requirement as it touches &nbsp;the wet&shy;laboratories is also set to upgrade this to basic tools expected at an international centre of learning.</p><p>University&nbsp;of&nbsp;Ibadan&nbsp;(UIB)&shy;Ibadan:<br />There&nbsp;has&nbsp;been&nbsp;significant&nbsp;increase&nbsp;in&nbsp;the&nbsp;number&nbsp;of&nbsp;bioinformatics&nbsp;activities&nbsp;in&nbsp;Nigeria&nbsp;(and&nbsp;West Africa)&nbsp;since&nbsp;2003&nbsp;when&nbsp;the&nbsp;program&nbsp;was&nbsp;initiated&nbsp;by&nbsp;the&nbsp;West&nbsp;African&nbsp;Biotechnology&nbsp;Workshops Series&nbsp;(WABWS,&nbsp;http://www.wabw.org)&nbsp;at&nbsp;the&nbsp;University&nbsp;of&nbsp;Ibadan,&nbsp;Nigeria&nbsp;(in&nbsp;collaboration&nbsp;with&nbsp; the&nbsp;South&nbsp;African&nbsp;National&nbsp;Bioinformatics&nbsp;Institute&nbsp;(SANBI,&nbsp;http:/www.sanbi.ac.za).&nbsp;Workshops&nbsp; that&nbsp;were&nbsp;open&nbsp;to&nbsp;scientists&nbsp;from&nbsp;all&nbsp;African&nbsp;countries&nbsp;have&nbsp;seen&nbsp;a&nbsp;very&nbsp;high&nbsp;number&nbsp;of&nbsp;applications&nbsp; from&nbsp;scientists&nbsp;based&nbsp;in&nbsp;West&nbsp;Africa.&nbsp;The&nbsp;encouraging&nbsp;desire&nbsp;to&nbsp;acquire&nbsp;cutting&shy;edge&nbsp;skills&nbsp;to&nbsp; computational&nbsp;process&nbsp;data&nbsp;and&nbsp;extract&nbsp;useful&nbsp;knowledge&nbsp;from&nbsp;genome&nbsp;projects&nbsp;led&nbsp;to&nbsp;the&nbsp;interest&nbsp;of&nbsp; the&nbsp;West&nbsp;African&nbsp;Biotechnology&nbsp;Workshops&nbsp;(WABW)&nbsp;to&nbsp;develop&nbsp;an&nbsp;agenda&nbsp;to&nbsp;address&nbsp;the&nbsp; bioinformatics&nbsp;skills&nbsp;gap&nbsp;among&nbsp;scientists&nbsp;in&nbsp;West&nbsp;Africa.&nbsp;An&nbsp;increased&nbsp;commitment&nbsp;from&nbsp;agencies&nbsp; like&nbsp;NEPAD&nbsp;would&nbsp;be&nbsp;required&nbsp;in&nbsp;the&nbsp;provision&nbsp;of&nbsp;infrastructure&nbsp;to&nbsp;establish&nbsp;and&nbsp;sustain&nbsp;regional&nbsp; and&nbsp;national&nbsp;networks.</p><p>University&nbsp;of&nbsp;Ilorin&nbsp;(UIL)&shy;Ilorin:<br />The&nbsp;University&nbsp;of&nbsp;Ilorin&nbsp;was&nbsp;established&nbsp;in&nbsp;1976&nbsp;by&nbsp;the&nbsp;Federal&nbsp;Government&nbsp;of&nbsp;Nigeria.&nbsp; Bioinformatics&nbsp;activities&nbsp;started&nbsp;at&nbsp;the&nbsp;University&nbsp;in&nbsp;February&nbsp;2003&nbsp;with&nbsp;the&nbsp;establishment&nbsp;of&nbsp;the&nbsp; West&nbsp;African&nbsp;Bioinformatics&nbsp;Research&nbsp;Initiative&nbsp;(WABRI).&nbsp;However,&nbsp;progress&nbsp;has&nbsp;been&nbsp;rather&nbsp;slow&nbsp; due&nbsp;to&nbsp;inadequate&nbsp;funding.&nbsp;We&nbsp;are&nbsp;mainly&nbsp;engaged&nbsp;in&nbsp;Bioinformatics&nbsp;training&nbsp;at&nbsp;the&nbsp;introductory&nbsp; level&nbsp;and&nbsp;proteomics&nbsp;studies&nbsp;on&nbsp;various&nbsp;species&nbsp;of&nbsp;malaria&nbsp;parasites.&nbsp;Recently,&nbsp;we&nbsp;became&nbsp;interested&nbsp; in&nbsp;comparative&nbsp;genome&nbsp;analysis&nbsp;of&nbsp;various&nbsp;species&nbsp;of &nbsp;Plasmodium&nbsp; and&nbsp;the&nbsp;comparison&nbsp;of&nbsp; chloroquine&nbsp;sensitive&nbsp;and&nbsp;chloroquine&nbsp;resistant&nbsp;strains&nbsp;of&nbsp;Plasmodium&nbsp;falciparum.&nbsp;Other&nbsp;activities&nbsp; and&nbsp;areas&nbsp;of&nbsp;interest&nbsp;can&nbsp;be&nbsp;seen&nbsp;on&nbsp;our&nbsp;website,&nbsp;http://www.wabri.org,&nbsp;although&nbsp;not&nbsp;all&nbsp;our&nbsp; proposed&nbsp;interests&nbsp;have&nbsp;been&nbsp;fully&nbsp;implemented&nbsp;due&nbsp;to&nbsp;our&nbsp;level&nbsp;of&nbsp;funding.</p><p>Training:<br />The&nbsp;University&nbsp;of&nbsp;Ilorin&nbsp;has&nbsp;introduced&nbsp;M.Sc.&nbsp;and&nbsp;Ph.D.&nbsp;programmes&nbsp;in&nbsp;Computer&nbsp;Science&nbsp;(with&nbsp; options&nbsp;in&nbsp;Bioinformatics).&nbsp;The&nbsp;programme&nbsp;is&nbsp;based&nbsp;in&nbsp;the&nbsp;Department&nbsp;of&nbsp;Computer&nbsp;Science&nbsp;and&nbsp; emphasis&nbsp;is&nbsp;on&nbsp;the&nbsp;development&nbsp;of&nbsp;algorithms&nbsp;to&nbsp;solve&nbsp;problems&nbsp;in&nbsp;bioinformatics. The&nbsp;Covenant&nbsp;University&nbsp;offers&nbsp;M.Sc.&nbsp;and&nbsp;Ph.D&nbsp;in&nbsp;Computer&nbsp;Science&nbsp;with&nbsp;option&nbsp;in&nbsp;Bioinformatics&nbsp; (Computational&nbsp;Biology).&nbsp;Furthermore,&nbsp;through&nbsp;affiliated&nbsp;departments,&nbsp;the&nbsp;CBBM&nbsp;is&nbsp;been&nbsp;design&nbsp;to&nbsp;award&nbsp;Diploma&nbsp;and&nbsp;Degree&nbsp;certificates&nbsp;in&nbsp;Biotechnology.</p><p>Web&nbsp;sites&nbsp;and&nbsp;links: http://www.covenantuniversity.com http://www.run.edu.ng http://www.uniben.edu http://www.wabri.org http://www.wabw.org http://www.unilorin.edu.ng http://www.wabri.org http://www.asopah.org</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4655/mathivanan-lab</guid>
  <pubDate>Fri, 20 Sep 2013 13:09:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[Mathivanan Lab]]></title>
  <description><![CDATA[
<p>The major research interests are in exploring the role of extracellular matrix components (soluble secreted proteins and membrane vesicles) in cancer and intercellular communication. The lab integrates proteomic, genomic and bioinformatics methodologies to explore cancer cells. </p>

<p>More at http://www.mathivananlab.org/index.html</p>

<p>http://scholar.google.com/citations?user=U6PyEdYAAAAJ&amp;hl=en</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42953/ra-bioinformatics-at-sir-ganga-ram-hospital-new-delhi</guid>
  <pubDate>Sun, 14 Mar 2021 10:40:18 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at Sir Ganga Ram Hospital, New Delhi]]></title>
  <description><![CDATA[
<p>Opportunities available at Institute of Medical Genetics &amp; Genomics, Sir Ganga Ram Hospital, New Delhi.</p>

<p>1) Senior Research Fellow under ICMR Project: M.Sc. (Life Sciences) with 2 years of experience (preferable in the field of Bioinformatics) or MBBS Degree.</p>

<p>2) Research Associate under ICMR Project: . Ph.D.(Life Science/Biotechnology/Bioinformatics) or equivalent degree or having 3 years of research, teaching and design and development experience after M.Tech with at least one research paper in science Citation Indexed (SCI) Journal.<br />Work experience in the area of Human genomics/Next Generation Sequencing data analysis/Big data genomics would be preferred.<br />Application link:</p>

<p>https://sgrh.com/joblist</p>

<p>Post Code: 2023, 2024</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43670/useful-bioinformatics-analysis-tools</guid>
	<pubDate>Thu, 23 Dec 2021 23:10:02 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43670/useful-bioinformatics-analysis-tools</link>
	<title><![CDATA[Useful Bioinformatics Analysis Tools !]]></title>
	<description><![CDATA[<h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=cometa&amp;subpage=about">CoMeta</a></h3><p><strong>Classificier of reads from metagenomic sequencing experiments.</strong></p><p><span>&bull;&nbsp;&nbsp;Kawulok, J., Deorowicz, S.,&nbsp;</span><em>CoMeta: Classification of Metagenomes Using k-mers</em><span>,&nbsp;</span><a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0121453">PLOS ONE,&nbsp;</a><span>2015; 10(4):1&ndash;23,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=CoMSA&amp;subpage=about">CoMSA</a></h3><p><strong>Compressor of multiple sequence alignments of proteins.</strong></p><p><span>&bull;&nbsp;&nbsp;Deorowicz, S., Walczyszyn, J., Debudaj-Grabysz, A.,&nbsp;</span><em>CoMSA: compression of protein multiple sequence alignment files</em><span>,&nbsp;</span><a href="https://doi.org/10.1093/bioinformatics/bty619">Bioinformatics,&nbsp;</a><span>2019; 35(2):22&ndash;234,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=dsrc&amp;subpage=about">DSRC</a></h3><p><strong>Compressor of sequencing reads.</strong></p><p><span>&bull;&nbsp;&nbsp;Roguski, L., Deorowicz, S.,&nbsp;</span><em>DSRC 2: Industry-oriented compression of FASTQ files</em><span>,&nbsp;</span><a href="http://bioinformatics.oxfordjournals.org/content/30/15/2213">Bioinformatics,&nbsp;</a><span>2014; 30(15):2213&ndash;2215,</span><br /><span>&bull;&nbsp;&nbsp;Deorowicz, S., Grabowski, Sz.,&nbsp;</span><em>Compression of DNA sequences in FASTQ format</em><span>,&nbsp;</span><a href="http://bioinformatics.oxfordjournals.org/">Bioinformatics,&nbsp;</a><span>2011; 27(6):860&ndash;862,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=famsa&amp;subpage=about">FAMSA</a></h3><p><strong>Multiple sequence alignment designed for huge families of proteins (even containing hundreds of thousands of sequences).</strong></p><p><span>&bull;&nbsp;&nbsp;Deorowicz, S., Debudaj-Grabysz, A., Gudys, A.,&nbsp;</span><em>FAMSA: Fast and accurate multiple sequence alignment of huge protein families</em><span>,&nbsp;</span><a href="http://www.nature.com/articles/srep33964">Scientific Reports,&nbsp;</a><span>2016; 6(33964):</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=fastore&amp;subpage=about">FaStore</a></h3><p><strong>Compressor of FASTQ files.</strong></p><p><span>&bull;&nbsp;&nbsp;Roguski, L., Ochoa, I., Hernaez, M., Deorowicz, S.,&nbsp;</span><em>FaStore - a space-saving solution for raw sequencing data</em><span>,&nbsp;</span><a href="https://doi.org/10.1093/bioinformatics/bty205">Bioinformatics,&nbsp;</a><span>2018; 34(16):2748&ndash;2756,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=fqsqueezer&amp;subpage=about">FQSqueezer</a></h3><p><strong>Experimental high-end compressor of FASTQ files.</strong></p><p><span>&bull;&nbsp;&nbsp;Deorowicz, S.,&nbsp;</span><em>FQSqueezer: k-mer-based compression of sequencing data</em><span>,&nbsp;</span><a href="https://www.nature.com/articles/s41598-020-57452-6">Scientific Reports,&nbsp;</a><span>2020; 10(578):</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=gdc&amp;subpage=about">GDC</a></h3><p><strong>Compressor of collections of genome sequences.</strong></p><p><span>&bull;&nbsp;&nbsp;Deorowicz, S., Danek, A., Niemiec, M.,&nbsp;</span><em>GDC 2: Compression of large collections of genomes</em><span>,&nbsp;</span><a href="http://www.nature.com/srep/2015/150625/srep11565/full/srep11565.html">Scientific Reports,&nbsp;</a><span>2015; 5(11565):1&ndash;12,</span><br /><span>&bull;&nbsp;&nbsp;Deorowicz, S., Grabowski, Sz.,&nbsp;</span><em>Robust relative compression of genomes with random access</em><span>,&nbsp;</span><a href="http://sun.aei.polsl.pl/REFRESH/bioinformatics.oxfordjournals.org/content/27/21/2979.abstract">Bioinformatics,&nbsp;</a><span>2011; 27(21):2979&ndash;2986,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=gtc&amp;subpage=about">GTC</a></h3><p><strong>Genotype databases compressor with support for fast queries.</strong></p><p><span>&bull;&nbsp;&nbsp;Danek, A., Deorowicz, S.,&nbsp;</span><em>GTC: how to maintain huge genotype collections in a compressed form</em><span>,&nbsp;</span><a href="https://doi.org/10.1093/bioinformatics/bty023">Bioinformatics,&nbsp;</a><span>2018; 34(11):1834&ndash;1840,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=gtshark&amp;subpage=about">GTShark</a></h3><p><strong>Genotypes compressor.</strong></p><p><span>&bull;&nbsp;&nbsp;Deorowicz, S., Danek, A.,&nbsp;</span><em>GTShark: Genotype compression in large projects</em><span>,&nbsp;</span><a href="https://doi.org/10.1093/bioinformatics/btz508">Bioinformatics,&nbsp;</a><span>2019; 35(22):4791&ndash;4793,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=kmc&amp;subpage=about">KMC</a></h3><p><strong>Memory frugal&nbsp;<em>k</em>-mer counter.</strong></p><p><span>&bull;&nbsp;&nbsp;Kokot, M., Długosz, M., Deorowicz, S.,&nbsp;</span><em>KMC 3: counting and manipulating k -mer statistics</em><span>,&nbsp;</span><a href="https://doi.org/10.1093/bioinformatics/btx304">Bioinformatics,&nbsp;</a><span>2017; 33(17):2759&ndash;2761,</span><br /><span>&bull;&nbsp;&nbsp;Deorowicz, S., Kokot, M., Grabowski, Sz., Debudaj-Grabysz, A.,&nbsp;</span><em>KMC 2: Fast and resource-frugal k-mer counting</em><span>,&nbsp;</span><a href="https://doi.org/10.1093/bioinformatics/btv022">Bioinformatics,&nbsp;</a><span>2015; 31(10):1569&ndash;1576,</span><br /><span>&bull;&nbsp;&nbsp;Deorowicz, S., Debudaj-Grabysz, A., Grabowski, Sz.,&nbsp;</span><em>Disk-based k-mer counting on a PC</em><span>,&nbsp;</span><a href="http://www.biomedcentral.com/1471-2105/14/160">BMC Bioinformatics,&nbsp;</a><span>2013; 14():Article no. 160,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=kmer-db&amp;subpage=about">Kmer-db</a></h3><p><strong>Tool for estimation of evolutionary distances in a collection of genomes.</strong></p><p><span>&bull;&nbsp;&nbsp;Deorowicz, S., Gudys, A., Dlugosz, M., Kokot, M., Danek, A.,&nbsp;</span><em>Kmer-db: instant evolutionary distance estimation</em><span>,&nbsp;</span><a href="https://doi.org/10.1093/bioinformatics/bty610">Bioinformatics,&nbsp;</a><span>2019; 35(1):133&ndash;136,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=mugi&amp;subpage=about">MuGI</a></h3><p><strong>Index allowing queries for a collection of multiple genome sequences.</strong></p><p><span>&bull;&nbsp;&nbsp;Danek, A., Deorowicz, S., Grabowski, Sz.,&nbsp;</span><em>Indexes of Large Genome Collections on a PC</em><span>,&nbsp;</span><a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0109384">PLOS ONE,&nbsp;</a><span>2014; 9(10):e109384,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=orcom&amp;subpage=about">ORCOM</a></h3><p><strong>Experimental compressor of sequencing reads.</strong></p><p><span>&bull;&nbsp;&nbsp;Grabowski, Sz., Deorowicz, S., Roguski, L.,&nbsp;</span><em>Disk-based compression of data from genome sequencing</em><span>,&nbsp;</span><a href="http://bioinformatics.oxfordjournals.org/content/early/2014/12/22/bioinformatics.btu844.abstract">Bioinformatics,&nbsp;</a><span>2014; 31(9):1389&ndash;1395,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=pgsa&amp;subpage=about">PgSA</a></h3><p><strong>Index allowing queries for a collection of sequencing reads.</strong></p><p><span>&bull;&nbsp;&nbsp;Kowalski, T., Grabowski, Sz., Deorowicz, S.,&nbsp;</span><em>Indexing arbitrary-length k-mers in sequencing reads</em><span>,&nbsp;</span><a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0133198">PLOS ONE,&nbsp;</a><span>2015; 10(7):1&ndash;16,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=quickprobs&amp;subpage=about">QuickProbs</a></h3><p><strong>Multiple sequence alignment designed especially for GPU.</strong></p><p><span>&bull;&nbsp;&nbsp;Gudys, A., Deorowicz, S.,&nbsp;</span><em>QuickProbs 2: towards rapid construction of high-quality alignments of large protein families</em><span>,&nbsp;</span><a href="http://www.nature.com/articles/srep41553">Scientific Reports,&nbsp;</a><span>2017; 7(41553):</span><br /><span>&bull;&nbsp;&nbsp;Gudys, A., Deorowicz, S.,&nbsp;</span><em>QuickProbs &ndash; A Fast Multiple Sequence Alignment Algorithm Designed for Graphics Processors</em><span>,&nbsp;</span><a href="http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0088901">PLOS ONE,&nbsp;</a><span>2014; 9(2):e88901,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=reckoner&amp;subpage=about">RECKONER</a></h3><p><strong>Read error corrector.</strong></p><p><span>&bull;&nbsp;&nbsp;Maciej Długosz, M., Deorowicz, S.,&nbsp;</span><em>RECKONER: read error corrector based on KMC</em><span>,&nbsp;</span><a href="https://academic.oup.com/bioinformatics/article-abstract/33/7/1086/2843893/RECKONER-read-error-corrector-based-on-KMC">Bioinformatics,&nbsp;</a><span>2017; 33(7):1086&ndash;1089,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=tgc&amp;subpage=about">TGC</a></h3><p><strong>Compressor of collections of genomes given in Variant Call Format (VCF) files.</strong></p><p><span>&bull;&nbsp;&nbsp;Deorowicz, S., Danek, A., Grabowski, Sz.,&nbsp;</span><em>Genome compression: a novel approach for large collections</em><span>,&nbsp;</span><a href="http://bioinformatics.oxfordjournals.org/content/early/2013/08/29/bioinformatics.btt460">Bioinformatics,&nbsp;</a><span>2013; 29(20):2572&ndash;2578,</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=vcfshark&amp;subpage=about">VCFShark</a></h3><p><strong>Compressor of VCF files.</strong></p><p><span>&bull;&nbsp;&nbsp;Deorowicz, S., Danek, A.,&nbsp;</span><em>GTShark: Genotype compression in large projects</em><span>,&nbsp;</span><a href="https://www.biorxiv.org/content/10.1101/2020.12.18.423437v1">biorxiv.org,&nbsp;</a><span>2020; ():</span></p><h3><a href="http://sun.aei.polsl.pl/REFRESH/index.php?page=projects&amp;project=whisper&amp;subpage=about">Whisper</a></h3><p><strong>Experimental mapper of whole genome sequencing data.</strong></p><p><span>&bull;&nbsp;&nbsp;Deorowicz, S., Gudys, A.,&nbsp;</span><em>Whisper 2: indel-sensitive short read mapping</em><span>,&nbsp;</span><a href="https://doi.org/10.1101/2019.12.18.881292">bioRxiv.org,&nbsp;</a><span>2019; :</span><br /><span>&bull;&nbsp;&nbsp;Deorowicz, S., Debudaj-Grabysz, A., Gudys, A., Grabowski, Sz.,&nbsp;</span><em>Whisper: read sorting allows robust robust mapping of DNA sequencing data</em><span>,&nbsp;</span><a href="https://doi.org/10.1093/bioinformatics/bty927">Bioinformatics,&nbsp;</a><span>2019; 35(12):2043&ndash;2050,</span><br /><span>&bull;&nbsp;&nbsp;Deorowicz, S., Debudaj-Grabysz, A., Gudys, A., Grabowski, Sz.,&nbsp;</span><em>Robust mapping of whole genome sequencing data</em><span>,&nbsp;</span><a href="https://meetings.cshl.edu/abstracts.aspx?meet=GENOME&amp;year=17">Poster at The Biology of Genomes Conference,&nbsp;</a><span>2017;</span></p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/5209/anders-krogh-lab</guid>
  <pubDate>Mon, 30 Sep 2013 19:07:40 -0500</pubDate>
  <link></link>
  <title><![CDATA[Anders Krogh Lab]]></title>
  <description><![CDATA[
<p>In a lot of my work in bioinformatics, I have been using hidden Markov models (HMMs). As a postdoc with David Haussler at UCSC we developed the so-called profile HMMs (refs). Since then I have applied HMMs to membrane proteins (refs) and gene identification (refs) and have worked on methods for such things as discriminative estimation of HMMs (refs) and alternative decoding algorithms etc. (refs).</p>

<p>Now my main interests are in gene regulation, where we work on promoter analysis; non-coding RNA, where miRNAs and structure prediction are the main areas; and protein structure, where the group is working on methods for structure prediction from sequence. To read more about these topics, please see the research pages. </p>

<p>Lab page @ http://wiki.binf.ku.dk/User:Krogh</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43993/phd-positions-on-integrative-omics-and-phylogenomics</guid>
  <pubDate>Wed, 19 Oct 2022 05:11:11 -0500</pubDate>
  <link></link>
  <title><![CDATA[PhD positions on integrative omics and phylogenomics]]></title>
  <description><![CDATA[
<p>Would you like to participate in an exciting interdisciplinary research project to discover the hidden chemistry of plants and its evolution using computational omics approaches? Do you enjoy collaboration and teamwork while being at the cutting edge of scientific progress? We are looking for two PhD candidates with complementary skills to pioneer new technologies to analyze, explore and leverage the diversity of plant chemistry hidden in plant genomes.</p>

<p>Plants represent an untapped resource of natural bioactive compounds that significantly contribute to plant resilience to pathogens, herbivores, and abiotic stresses, and may be applied for medicine or crop protection. In this project, you will design and/or apply innovative omics integration strategies for genomics, transcriptomics, and metabolomics data, to discover plant specialized metabolite biosynthetic pathways and study their evolution. You will work together with the other PhD candidate in this project, which will entail a combination of algorithm development, greenhouse experiments, integrative omics analysis, and evolutionary genomics. Extensive local and international collaboration is foreseen, including possibilities for a foreign research visit as part of your PhD project.</p>

<p>The research is embedded within the chairs of Bioinformatics and Biosystematics. The projects will be (co-)supervised by Dr. Marnix Medema, Dr. Justin van der Hooft, Dr. Klaas Bouwmeester and Prof. Dr. Eric Schranz.</p>

<p>We ask</p>

<p>We are looking for two enthusiastic and complementary team players with all or a subset of the following skills:</p>

<p>a solid academic record (MSc) in bioinformatics, biology, or biotechnology<br />experience in computational omics analysis and proficiency in programming (in, e.g., Python)<br />at least basic to intermediate statistical and mathematical skills<br />demonstrable experience in working with next-generation sequencing data or with greenhouse experiments with plants<br />affinity with plant science, metabolism and/or biosynthetic pathways<br />you meet all the entry requirements of the  WUR PhD programme.<br />More information</p>

<p>For more information about this position, please contact Marnix Medema, Associate Professor Bioinformatics, by email (marnix.medema@wur.nl).<br />For more information about the procedure, please contact vacaturemeldingen.psg@wur.nl.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44254/bioinformatics-chat</guid>
	<pubDate>Mon, 13 Mar 2023 13:20:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44254/bioinformatics-chat</link>
	<title><![CDATA[Bioinformatics Chat !]]></title>
	<description><![CDATA[<p>The bioinformatics chat is a podcast about computational biology, bioinformatics, and next generation sequencing.</p>
<p>The bioinformatics chat is produced by&nbsp;<a href="https://ro-che.info/">Roman&nbsp;Cheplyaka</a>&nbsp;and hosted by Roman and&nbsp;<a href="https://jmschrei.github.io/">Jacob&nbsp;Schreiber</a>.</p><p>Address of the bookmark: <a href="https://bioinformatics.chat/" rel="nofollow">https://bioinformatics.chat/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5187/bioinformatics-algorithms-part-1-with-pavel-pevzner-phillip-e-c-compeau</guid>
	<pubDate>Mon, 30 Sep 2013 11:34:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5187/bioinformatics-algorithms-part-1-with-pavel-pevzner-phillip-e-c-compeau</link>
	<title><![CDATA[Bioinformatics Algorithms (Part 1)  with Pavel  Pevzner, Phillip E. C. Compeau,]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/t5t_nfzdzEg" frameborder="0" allowfullscreen></iframe><p>The course Bioinformatics Algorithms (Part 1) by Pavel Pevzner, Phillip E. C. Compeau, and Nikolay Vyahhi from University of California, San Diego will be offered free of charge to everyone on the Coursera platform. Sign up at http://www.coursera.org/course/bioinformatics.</p>]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/44618/important-bioinformatics-tools</guid>
	<pubDate>Tue, 30 Jul 2024 05:03:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/44618/important-bioinformatics-tools</link>
	<title><![CDATA[Important Bioinformatics Tools !]]></title>
	<description><![CDATA[<p><span>1. Ktrim: An extra-fast, accurate adapter trimmer for sequencing data. It processes FASTQ files from multiple lanes with minimal mismatching and over-trimming of adapters.</span><span><br /></span><span><br /></span><span>2. BWA MEM: A reliable alignment tool (particularly for mapping ALT contigs and HLA genes, which are not fully addressed in BWA-MEM2).</span><span><br /></span><span><br /></span><span>3. Sambamba markdup: Quickly marks or removes duplicate reads using Picard's criteria.</span><span><br /></span><span><br /></span><span>4. ichorCNA: Estimates the tumor DNA fraction in cell-free DNA from ultra-low-pass whole genome sequencing (0.1x coverage) based on copy number alterations (CNA).</span><span><br /></span><span><br /></span><span>5. Fragle: A deep learning method for quantifying ctDNA levels from cell-free DNA fragmentomic profiles. It detects TF as low as ~1% ctDNA and works with targeted genomic panel sequencing data.</span><span><br /></span><span><br /></span><span>6. AlfredQC: A quality control tool for high-throughput sequencing data. It assesses metrics like read quality scores, GC content, and duplication rates, visualized through detailed plots and summary statistics.</span><span><br /></span><span><br /></span><span>7. Mosdepth: A fast tool for calculating sequencing coverage depth, offering a quicker alternative to samtools/sambamba depth by processing BAM and CRAM files.</span><span><br /></span><span><br /></span><span>8. Bedtools: A versatile toolkit for genomics, enabling operations like intersect, merge, count, and shuffle on genomic intervals across formats such as BAM, BED, GFF/GTF, and VCF.</span><span><br /></span><span><br /></span><span>9. Datamash: A command-line tool for basic numeric, textual, and statistical operations on input data streams. It supports operations such as grouping, sorting, transposing, and performing arithmetic calculations on tabular data.</span><span><br /></span><span><br /></span><span>10.</span><span> </span><a href="http://gwf.app/" target="_self">gwf.app</a><span>: A pragmatic alternative to Snakemake. Developed at</span><span> </span><a href="https://www.linkedin.com/company/aarhus-university-denmark-/" target="_self"><span>Aarhus University</span></a><span>, this flexible, generic workflow tool builds and runs large scientific workflows.</span></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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