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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31300?offset=670</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42672/introduction-to-bioinformatics-and-computational-biology</guid>
	<pubDate>Mon, 25 Jan 2021 01:32:30 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42672/introduction-to-bioinformatics-and-computational-biology</link>
	<title><![CDATA[Introduction to Bioinformatics and Computational Biology]]></title>
	<description><![CDATA[<p><span>This is the course material for STAT115/215 BIO/BST282 at Harvard University.</span></p>
<p>Xiaole Shirley Liu (lead instructor)<br>Joshua Starmer<br>Martin Hemberg<br>Ting Wang<br>Feng Yue</p>
<p>Ming Tang<br>Yang Liu<br>Jack Kang<br>Scarlett Ge<br>Jiazhen Rong<br>Phillip Nicol<br>Maartin De Vries</p>
<p>We thank many colleagues in the community, who helped Dr.&nbsp;Liu in prepare the STAT115/215 BIO/BST282 course over the years.&nbsp;</p><p>Address of the bookmark: <a href="https://liulab-dfci.github.io/bioinfo-combio/" rel="nofollow">https://liulab-dfci.github.io/bioinfo-combio/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38449/koala-keggs-internal-annotation-tool-for-k-number-assignment-of-kegg-genes-using-ssearch-computation</guid>
	<pubDate>Wed, 12 Dec 2018 09:16:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38449/koala-keggs-internal-annotation-tool-for-k-number-assignment-of-kegg-genes-using-ssearch-computation</link>
	<title><![CDATA[KOALA: KEGG&#039;s internal annotation tool for K number assignment of KEGG GENES using SSEARCH computation]]></title>
	<description><![CDATA[<p>KOALA (KEGG Orthology And Links Annotation) is KEGG's internal annotation tool for&nbsp;<a href="https://www.kegg.jp/kegg/ko.html">K number</a>&nbsp;assignment of KEGG GENES using SSEARCH computation. BlastKOALA and GhostKOALA assign K numbers to the user's sequence data by&nbsp;<a href="http://www.ncbi.nlm.nih.gov/blast/">BLAST</a>&nbsp;and&nbsp;<a href="http://www.bi.cs.titech.ac.jp/ghostx/">GHOSTX</a>&nbsp;searches, respectively, against a nonredundant set of KEGG GENES. Annotate Sequence in KEGG Mapper and Pathogen Checker in KEGG Pathogen are special interfaces to the BlastKOALA server and can be executed in an interactive mode. &nbsp;&nbsp; See&nbsp;<a href="https://www.kegg.jp/blastkoala/help_blastkoala.html" target="_blastkoala">Step-by-step Instructions</a>.</p>
<div>Reference: Kanehisa, M., Sato, Y., and Morishima, K. (2016) BlastKOALA and GhostKOALA: KEGG tools for functional characterization of genome and metagenome sequences. J. Mol. Biol. 428, 726-731. [<a href="http://www.ncbi.nlm.nih.gov/pubmed/26585406">pubmed</a>] [<a href="https://doi.org/10.1016/j.jmb.2015.11.006">pdf</a>]</div><p>Address of the bookmark: <a href="https://www.kegg.jp/blastkoala/" rel="nofollow">https://www.kegg.jp/blastkoala/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/42809/bioinformatics-in-africa-part2-kenya</guid>
	<pubDate>Sat, 06 Feb 2021 13:23:54 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/42809/bioinformatics-in-africa-part2-kenya</link>
	<title><![CDATA[Bioinformatics in Africa: Part2 - Kenya]]></title>
	<description><![CDATA[<p>International Livestock Research Institute (ILRI):</p><p>Under&nbsp; &nbsp;a&nbsp; &nbsp;NEPAD&nbsp; &nbsp;initiative,&nbsp; &nbsp;the&nbsp; &nbsp;Biosciences&nbsp; &nbsp;Eastern&nbsp; &nbsp;and&nbsp; &nbsp;Central&nbsp; &nbsp;Africa&nbsp; &nbsp;(BECA)&nbsp; (www.biosciencesafrica.org) was established at ILRI. BECA consists of a hub, regional nodes, and&nbsp; other affiliated laboratories and partner institutes. A state of the art joint Bioinformatics Platform&nbsp; (www.becabioinfo.org), whose overall goal is to provide a coherent and powerful bioinformatics&nbsp; infrastructure for use by all scientists in East and central Africa. The Platform goal requires both&nbsp; physical and intellectual developments that together provide researchers with access to diverse&nbsp; infrastructure in a wide&shy;area network, thereby addressing four important aspects of bioinformatics:&nbsp;</p><p>1) Science: bioinformatics tools for data integration and visualization, standardization of data&nbsp; formats and data analysis strategies, and distribution of analysis tasks over local&shy; and widearea networks are in development;&nbsp;</p><p>2)&nbsp; Bioinformatics Support Facility: provides assistance and custom programming to projects&nbsp; and those unable to establish a bioinformatics support function intrinsic to their project due&nbsp; to shortage of qualified personnel or lack of funding;&nbsp;</p><p>3) Hardware Platform: provide a powerful high performance computing platform capable of&nbsp; handling the largest analysis needs for projects;&nbsp;</p><p>4) Bioinformatics Training for East and central African scientists: While many Web&shy;based&nbsp; tools are available to the wet&shy;lab researcher, the Web is not well suited for tasks beyond&nbsp; single&shy;sequence annotation. Researchers need to become productive in a server&shy;based Unix&nbsp; environment with its wealth of scripting and automation tools. Even at an entry&shy;level, this&nbsp; can be an intimidating task if proper guidance is not available.</p><p>International&nbsp;Centre&nbsp;of&nbsp;Insect&nbsp;Physiology&nbsp;and&nbsp;Ecology&nbsp;(ICIPE): ICIPE&rsquo;s&nbsp;research&nbsp;focus&nbsp;is&nbsp;on&nbsp;insect&nbsp;biology,&nbsp;in&nbsp;order&nbsp;to&nbsp;improve&nbsp;the&nbsp;wellbeing&nbsp;of&nbsp;the&nbsp;peoples&nbsp;of&nbsp;the&nbsp; tropics&nbsp;through&nbsp;insect&nbsp;science.&nbsp;There&nbsp;is&nbsp;a&nbsp;commitment&nbsp;to&nbsp;utilise&nbsp;contemporary&nbsp;science&nbsp;in&nbsp;order&nbsp;to&nbsp; limit&nbsp;the&nbsp;impact&nbsp;of&nbsp;disease&nbsp;vectors,&nbsp;and&nbsp;agricultural&nbsp;pests.&nbsp;The&nbsp;understanding&nbsp;of&nbsp;the&nbsp;mechanisms&nbsp; associated&nbsp;with&nbsp;behaviour&nbsp;(e.g.&nbsp;attraction&nbsp;and&nbsp;repellency)&nbsp;is&nbsp;crucial.&nbsp;ICIPE&nbsp;seeks&nbsp;to&nbsp;enhance&nbsp;its&nbsp; bioinformatics&nbsp;capacity&nbsp;in&nbsp;order&nbsp;to&nbsp;support&nbsp;data&nbsp;from&nbsp;various&nbsp;EST&nbsp;projects&nbsp;designed&nbsp;to&nbsp;gain&nbsp;insights&nbsp; into&nbsp;the&nbsp;insect&nbsp;ecology&nbsp;and&nbsp;plant&nbsp;pathogen&nbsp;interactions&nbsp;though&nbsp;studies&nbsp;of&nbsp;metabolic&nbsp;pathways&nbsp; associated&nbsp;with&nbsp;production&nbsp;of&nbsp;all&nbsp;elochemicals.&nbsp;</p><p>Long&shy;term training activities:</p><p>Kenyatta University: An introductory course in Bioinformatics is offers to MSc Biotechnology&nbsp; students. This comprises of 35 hours of lectures and practicals.</p><p>University of Nairobi: A centre for Biotechnology and Bioinformatics (CEBIB), which will offer&nbsp; postgraduate training (diplomas, MSc and PhD) in areas of biotechnology and bioinformatics has&nbsp; recently been launched. Other universities in Kenya, including Egerton, Maseno and the Jomo Kenyatta University of&nbsp; Agriculture and Technology offer introductory courses to undergraduates in biomedical sciences. In addition, under the BECA platform MSc and PhD fellowships are being made available for&nbsp; Bioinformatics students. ILRI is forging links with Universities in South Africa and the United&nbsp; Kingdom to provide access to courses and training material.&nbsp;</p><p>Research Interest and Activities:</p><p>The following are the present areas of research interest: 1. EST clustering 2. Genome sequencing and annotation 3. Functional genomics and proteomics (including key tropical pathogens) 4. Structural bioinformatics 5. Development of Bioinformatics Data Management Systems 6. Gene Mining 7. High Throughput Genotyping 8. Microarray data management and analysis 9. Metagenomics 10. Immunoinformatics 11. Host&shy;pathogen interaction 12. High performance computing and grid development 13. Parasite transfection technologies 14. Cell cycle regulation 15. Population genetics 16. Vector genomics 17. Drug, vaccine and diagnostic target discovery</p><p>More at&nbsp;Web&nbsp;site&nbsp;and&nbsp;links:</p><p>http://www.ilri.cgiar.org/</p><p>http://www.icipe.org/ &nbsp; &nbsp;</p><p>http://www.uonbi.ac.ke/cebib</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/42815/bioinformatics-in-africa-part7-tunisia</guid>
	<pubDate>Sat, 06 Feb 2021 21:25:09 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/42815/bioinformatics-in-africa-part7-tunisia</link>
	<title><![CDATA[Bioinformatics in Africa: Part7 - Tunisia]]></title>
	<description><![CDATA[<p>Institut Pasteur de Tunis (IPT):<br />The IPT is a research institution founded in 1883. IPT is under the supervision of the Ministry of &nbsp;Health and is part of the Universit&eacute; El Manar of Tunis (Ministry of high Education). The missions &nbsp;of the institute are: Public Health Laboratory activities (PHL), Research on infectious diseases, and &nbsp;R/D on vaccines. Research programs are mainly oriented towards local health problems such as &nbsp;leishmaniais, viral hepatitis, and scorpion venoms. The &nbsp; group &nbsp; of &nbsp; Bioinformatics &nbsp; and &nbsp; Modelling &nbsp; of &nbsp; the &nbsp; IPT &nbsp; is &nbsp; hosted &nbsp; by &nbsp; the &nbsp;Laboratoire &nbsp;d&rsquo;Immunopathologie Vaccinologie et G&eacute;n&eacute;tique Mol&eacute;culaire &nbsp;(LIVGM), and exists since the &nbsp;beginning of 2005. Its present research activities include: genome annotation, EST clustering and &nbsp;modelling of the host/parasite response to Leishmania infection. It consists of two senior scientists, &nbsp;two PhD students and one MSc student</p><p>Centre&nbsp;de&nbsp;Biotechnology&nbsp;de&nbsp;Sfax&nbsp;(CBS):<br />Bioinformatics&nbsp;activity&nbsp;started&nbsp;at&nbsp;CBS&nbsp;in&nbsp;2001&nbsp;with&nbsp;the&nbsp;setting&shy;up&nbsp;of&nbsp;a&nbsp;research&nbsp;and&nbsp;service&nbsp;unit&nbsp;of&nbsp; bioinformatics.&nbsp;This&nbsp;unit&nbsp;currently&nbsp;includes&nbsp;one&nbsp;senior&nbsp;researcher,&nbsp;one&nbsp;engineer&nbsp;and&nbsp;four&nbsp;Phd&nbsp; students.&nbsp;Activities&nbsp;include&nbsp;sequence&nbsp;annotation&nbsp;(service)&nbsp;and&nbsp;three&nbsp;research&nbsp;programs:&nbsp;ab&nbsp;initio&nbsp; prediction&nbsp;of&nbsp;short&nbsp;eukaryote&nbsp;genes,&nbsp;statistical&nbsp;modelling&nbsp;by&nbsp;Bayesian&nbsp;networks&nbsp;approach&nbsp;of&nbsp;signal&nbsp; transduction&nbsp;pathways&nbsp;and&nbsp;statistical&nbsp;analysis&nbsp;of&nbsp;human&nbsp;sequence&nbsp;variation&nbsp;data&nbsp;(haplotype&nbsp; reconstruction&nbsp;and&nbsp;linkage&nbsp;disequilibrium).&nbsp;Activities&nbsp;of&nbsp;the&nbsp;Bioinformatics&nbsp;unit&nbsp;could&nbsp;be&nbsp;found&nbsp;at&nbsp; the&nbsp;website:&nbsp;http://www.cbs.rnrt.tn/&nbsp;and&nbsp;the&nbsp;research&nbsp;activity&nbsp;report&nbsp;is&nbsp;available&nbsp;under&nbsp;request&nbsp;to&nbsp; Bioinformatics@cbs.rnrt.tn.&nbsp;Although&nbsp;the&nbsp;computing&nbsp;facilities&nbsp;are&nbsp;good,&nbsp;there&nbsp;is&nbsp;still&nbsp;a&nbsp;need&nbsp;for&nbsp; trained&nbsp;human&nbsp;resources&nbsp;to&nbsp;strengthen&nbsp;bioinformatics&nbsp;capacities&nbsp;at&nbsp;CBS,&nbsp;particularly&nbsp;in&nbsp;structural&nbsp; bioinformatics.</p><p>Web site and links: http://www.cbs.rnrt.tn</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37536/snippy-rapid-haploid-variant-calling-and-core-snp-phylogeny</guid>
	<pubDate>Sat, 11 Aug 2018 11:06:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37536/snippy-rapid-haploid-variant-calling-and-core-snp-phylogeny</link>
	<title><![CDATA[Snippy: Rapid haploid variant calling and core SNP phylogeny]]></title>
	<description><![CDATA[<p><span>Snippy finds SNPs between a haploid reference genome and your NGS sequence reads. It will find both substitutions (snps) and insertions/deletions (indels). It will use as many CPUs as you can give it on a single computer (tested to 64 cores). It is designed with speed in mind, and produces a consistent set of output files in a single folder. It can then take a set of Snippy results using the same reference and generate a core SNP alignment (and ultimately a phylogenomic tree).</span></p>
<pre><code>snippy --cpus 16 --outdir mysnps --ref Listeria.gbk --R1 FDA_R1.fastq.gz --R2 FDA_R2.fastq.gz</code></pre><p>Address of the bookmark: <a href="https://github.com/tseemann/snippy" rel="nofollow">https://github.com/tseemann/snippy</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44873/bakrep-denglish-blend-of-bakterien-repository-simplifies-access-to-this-data</guid>
	<pubDate>Wed, 13 Aug 2025 02:31:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44873/bakrep-denglish-blend-of-bakterien-repository-simplifies-access-to-this-data</link>
	<title><![CDATA[BakRep (Denglish blend of Bakterien &amp; Repository) simplifies access to this data]]></title>
	<description><![CDATA[<p>2,438,386 bacterial genomes at your fingertips consistently processed &amp; characterized, enriched with metadata, accessible via a flexible search engine.</p>
<p>BakRep (Denglish blend of Bakterien &amp; Repository) simplifies access to this data. It integrates enriched genomic information with metadata accessible via a flexible search-engine.</p>
<h1>Key features</h1>
<ul>
<li>Assembly statistics: ensure data quality with genome-based key metrics</li>
<li>Taxonomic classification: robust, purely genome-based classifications (<a href="https://gtdb.ecogenomic.org/" target="_blank">GTDB</a>)</li>
<li><a href="https://pubmlst.org/">MLST</a>: subtyping for deeper insights into genetic variation</li>
<li>Annotation: comprehensive &amp; taxonomy-independent (<a href="https://bakta.computational.bio/" target="_blank">Bakta</a>)</li>
<li>Metadata: full original submission records</li>
</ul>
<div>&nbsp;</div><p>Address of the bookmark: <a href="https://bakrep.computational.bio/" rel="nofollow">https://bakrep.computational.bio/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/43418/caceres-lab</guid>
  <pubDate>Sat, 02 Oct 2021 00:20:42 -0500</pubDate>
  <link></link>
  <title><![CDATA[Cáceres Lab]]></title>
  <description><![CDATA[
<p>Lab are included within the Genomics, Bioinformatics and Evolution group of the UAB, and collaborate closely with other researchers in the Barcelona area, such as Xavier Estivill of the Centre for Genomic Regulation (CRG), Juan R González of the Centre for Research in Environmental Epidemiology (CREAL), and Tomàs Marqués-Bonet of the Institute of Evolutionary Biology (IBE), as well as with other international groups and projects.</p>

<p>https://grupsderecerca.uab.cat/cacereslab/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/view/459</guid>
	<pubDate>Thu, 11 Jul 2013 14:39:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/view/459</link>
	<title><![CDATA[Python vs Perl]]></title>
	<description><![CDATA[<p>Why bioinformatician still using Perl when Python is easy to code, good in ReXp and faster than perl?</p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/43913/lsugenomics-lab</guid>
  <pubDate>Thu, 07 Jul 2022 05:26:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[lsugenomics Lab]]></title>
  <description><![CDATA[
<p>﻿In our lab, we seek to characterize and to compare genomes in order to better understand genetic and evolutionary processes linking genotypes to phenotypes.  <br /> <br />Sequencing and decoding plant genomes have been integral in our approaches.</p>

<p>The overarching goal of our research is to understand how to interpret complex and fascinating messages embedded in genomes.</p>

<p>https://www.lsugenomics.org/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/840/junior-research-fellow-jrf</guid>
  <pubDate>Sat, 13 Jul 2013 11:17:22 -0500</pubDate>
  <link></link>
  <title><![CDATA[Junior Research Fellow (JRF)]]></title>
  <description><![CDATA[
<p>School of Biotechnology<br />Gautam Buddha University<br />Greater Noida, UP - 201310</p>

<p>Applications are invited for one position of Junior Research Fellow (JRF) in a Department of Biotechnology (DBT) sponsored research project entitled “Design, synthesis and evaluation of potent aminopeptidase inhibitors for malarial therapy” under the supervision of Dr. Shakti Sahi.</p>

<p>The monthly fellowship of JRF will be Rs 12,000/- plus HRA as per the University rules.</p>

<p>Essential Qualification: Master degree in any discipline of Life Science with NET qualified.</p>

<p>Desirable Qualification: Preference will be given to candidates having research experience in in silico drug designing/Bioinformatics.</p>

<p>Interested candidates may send their resume to undersigned on or before 14th July 2013 by post-mail/e-mail shaktis@gbu.ac.in or shaktisahi@gmail.com. No TA and DA will be paid for appearing for the interview. Dr. Shakti Sahi (Principle Investigator)</p>

<p>Advertisement:<br />www.gbu.ac.in/Recruitment/JRF_Advt_DBTProject_Shakt</p>
]]></description>
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