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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31881?offset=1220</link>
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	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25306/research-trainees-recruitment-in-national-agri-food-biotechnology-institute-nabi</guid>
  <pubDate>Sun, 29 Nov 2015 02:47:28 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Trainees recruitment in National Agri-Food Biotechnology Institute (NABI)]]></title>
  <description><![CDATA[
<p>Research Trainees recruitment in National Agri-Food Biotechnology Institute (NABI)</p>

<p>Eligibility : Pursuing final year of M.Sc./M.Tech.</p>

<p>Subject category for training : I. Agricultural biotechnology II. Computational biology and bioinformatics III. Food Science &amp; Technology IV. Nutrition Science &amp; Technology</p>

<p>Duration of Training : 6 months (January to June 2016)</p>

<p>Selection Procedure : Through screening and selection based on merit, experience, and expression of interest submitted by candidates <br />How to apply</p>

<p>The last date of application to reach NABI latest by November 30, 2015 by 5:30 PM </p>

<p>More at http://www.nabi.res.in/Training.aspx</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41920/liftoff-an-accurate-tool-that-maps-annotations-in-gff-or-gtf-between-assemblies</guid>
	<pubDate>Tue, 30 Jun 2020 21:40:52 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41920/liftoff-an-accurate-tool-that-maps-annotations-in-gff-or-gtf-between-assemblies</link>
	<title><![CDATA[Liftoff: an accurate tool that maps annotations in GFF or GTF between assemblies]]></title>
	<description><![CDATA[<p><span>&nbsp;Liftoff, an accurate tool that maps annotations in GFF or GTF between assemblies of the same, or closely-related species. Unlike current coordinate lift-over tools which require a pre-generated &ldquo;chain&rdquo; file as input, Liftoff is a standalone tool that takes two genome assemblies and a reference annotation as input and outputs an annotation of the target genome.&nbsp;</span></p><p>Address of the bookmark: <a href="https://github.com/agshumate/Liftoff" rel="nofollow">https://github.com/agshumate/Liftoff</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25251/m-d-university-rohtak-is-looking-for-the-post-of-research-associate</guid>
  <pubDate>Fri, 13 Nov 2015 02:56:48 -0600</pubDate>
  <link></link>
  <title><![CDATA[M. D. University, Rohtak is looking for the post of Research Associate]]></title>
  <description><![CDATA[
<p>M. D. University, Rohtak - Rohtak, Haryana<br />M. D. University, Rohtak is looking vacancies for the post of Research Associate</p>

<p>Project entitled: "Establish of Bioinformatics Facility for biology teaching through bioinformatics"</p>

<p>Name of post: Research Associate /Trainees</p>

<p>Number of post: 03</p>

<p>Educational Qualification and Experience: Candidates should have Ph D in relevant subjects with experience in handling computational biology resources and software</p>

<p>Selection mode: Walk in interview</p>

<p>How to apply?<br />Interested and eligible candidates may appear for a walk-in interview on 14th November 2015 at 11.00 am, in the office of Director, Centre for Bioinformatics along with CV and attested copies of all testimonials and additional qualifications.</p>

<p>Recruitment reference: http://www.mdurohtak.ac.in/pdf/career/adv_research_asso_dbt_bioinfo.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42160/vicuna-a-software-tool-that-enables-consensus-assembly-of-ultra-deep-sequence-derived-from-diverse-viral-or-other-heterogeneous-populations</guid>
	<pubDate>Tue, 25 Aug 2020 03:40:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42160/vicuna-a-software-tool-that-enables-consensus-assembly-of-ultra-deep-sequence-derived-from-diverse-viral-or-other-heterogeneous-populations</link>
	<title><![CDATA[VICUNA: a software tool that enables consensus assembly of ultra-deep sequence derived from diverse viral or other heterogeneous populations.]]></title>
	<description><![CDATA[<p><span>VICUNA</span><span>&nbsp;is a&nbsp;</span><em>de novo</em><span>&nbsp;assembly program targeting populations with high mutation rates. It creates a single linear representation of the mixed population on which intra-host variants can be mapped. For clinical samples rich in contamination (e.g., &gt;95%), VICUNA can leverage existing genomes, if available, to assemble only target-alike reads. After initial assembly, it can also use existing genomes to perform guided merging of contigs. For each data set (e.g., Illumina paired read, 454), VICUNA outputs consensus sequence(s) and the corresponding multiple sequence alignment of constituent reads. VICUNA efficiently handles ultra-deep sequence data with tens of thousands fold coverage.</span></p>
<p><a href="http://software.broadinstitute.org/viral/docs/vicuna_v1.0.pdf">http://software.broadinstitute.org/viral/docs/vicuna_v1.0.pdf</a></p><p>Address of the bookmark: <a href="https://www.broadinstitute.org/viral-genomics/vicuna" rel="nofollow">https://www.broadinstitute.org/viral-genomics/vicuna</a></p>]]></description>
	<dc:creator>biogeek</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25253/scientist-e-ii-or-f-in-bioinformatics-computational-biology-at-rajiv-gandhi-centre-for-biotechnology</guid>
  <pubDate>Fri, 13 Nov 2015 03:10:32 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist E-II or F in Bioinformatics &amp; Computational Biology at Rajiv Gandhi Centre for Biotechnology]]></title>
  <description><![CDATA[
<p>Advt. No.RGCB Advt./SCI 2015/1</p>

<p>Rajiv Gandhi Centre for Biotechnology (RGCB) invites applications for the following three faculty scientist positions:</p>

<p>    Scientist G in any of the following disciplines of disease biology: Cancer Research/Cardiovascular Biology/Diabetes Biology/Pathogen Biology<br />    Scientist E-II or F in Bioinformatics &amp; Computational Biology<br />    Scientist E-I or E-II in Cancer Research with special emphasis on Human Papillomavirus Research</p>

<p>More at http://rgcb.res.in/wp-content/uploads/2015/11/APPLICATION-FORMAT-FOR-SCIENTISTS.docx</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43120/ventoy-an-open-source-tool-to-create-bootable-usb-drive</guid>
	<pubDate>Tue, 29 Jun 2021 10:16:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43120/ventoy-an-open-source-tool-to-create-bootable-usb-drive</link>
	<title><![CDATA[Ventoy: an open source tool to create bootable USB drive]]></title>
	<description><![CDATA[<p>Ventoy is an open source tool to create bootable USB drive for ISO/WIM/IMG/VHD(x)/EFI files. With ventoy, you don't need to format the disk over and over, you just need to copy the image files to the USB drive and boot it. You can copy many image files at a time and ventoy will give you a boot menu to select them. x86 Legacy BIOS, IA32 UEFI, x86_64 UEFI, ARM64 UEFI and MIPS64EL UEFI are supported in the same way. Both MBR and GPT partition style are supported in the same way. Most type of OS supported(Windows/WinPE/Linux/Unix/Vmware/Xen...) 700+ ISO files are tested.&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/ventoy/Ventoy" rel="nofollow">https://github.com/ventoy/Ventoy</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42955/post-doctoral-position-scientist-mfd-in-bioinformatics</guid>
  <pubDate>Mon, 15 Mar 2021 11:34:23 -0500</pubDate>
  <link></link>
  <title><![CDATA[Post-doctoral position / Scientist (m/f/d) in Bioinformatics]]></title>
  <description><![CDATA[
<p>The Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. in Dortmund is looking for a Post-doctoral position / Scientist (m/f/d) in Bioinformatics</p>

<p>More at</p>

<p>https://www.isas.de/files/redaktion/jobs/2021/18.60.1_Postdoc_deNBI_06_21_AS.pdf</p>

<p>https://www.isas.de/en/news/062021-post-doctoral-position-scientist-mfd-in-bioinformatics</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44501/minda-a-tool-for-evaluating-structural-variant-sv-callers</guid>
	<pubDate>Sun, 31 Mar 2024 02:43:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44501/minda-a-tool-for-evaluating-structural-variant-sv-callers</link>
	<title><![CDATA[Minda: a tool for evaluating structural variant (SV) callers]]></title>
	<description><![CDATA[<p dir="auto">Minda is a tool for evaluating structural variant (SV) callers that</p>
<ul dir="auto">
<li>standardizes VCF records for compatibility with both germline and somatic SV callers,</li>
<li>benchmarks against a single VCF input file, or</li>
<li>benchmarks against an ensemble call set created from multiple VCF input files.</li>
</ul><p>Address of the bookmark: <a href="https://github.com/KolmogorovLab/minda" rel="nofollow">https://github.com/KolmogorovLab/minda</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25287/postdoc-position-in-bioinformatics-irccs-milan-italy</guid>
  <pubDate>Wed, 25 Nov 2015 03:38:38 -0600</pubDate>
  <link></link>
  <title><![CDATA[PostDoc position in Bioinformatics - IRCCS - Milan - Italy]]></title>
  <description><![CDATA[
<p>PostDoc position in Bioinformatics</p>

<p>A full-time post-doctoral position for a bioinformatician with experience in managing and analyzing NGS data is available in the Laboratory of Molecular Cardiology at Policlinico San Donato-IRCCS, Milan, Italy. For lab publications, see: http://scholar.google.it/citations?user=wAPKO9wAAAAJ&amp;hl=it&amp;oi=ao</p>

<p>https://www.researchgate.net/profile/Fabio_Martelli</p>

<p>The goal of the project is investigating the regulation and functional role of non coding RNAs in tissue response to hypoxia and ischemia.</p>

<p>We are looking for a candidate that is going to interact with biologists and bioinformaticians to manage and analyze NGS data (mostly RNA-seq) and microarray data.</p>

<p>The successful candidate must have a minimum of 3 years experience in dealing with NGS data, a good command of English and written communication and at least 2 relevant publications as first author in peer reviewed international journals. The candidate is expected to interact with a small international group and to be able also to work independently. Knowledge of programming is a definitive plus, as well as a good statistical background and/or wet molecular biology skills.</p>

<p>Salary is proportional to experience and to the publication record (up to 38 000euro/year before taxes and retirement contribution i.e. IRPEF and INPS).</p>

<p>Please, send your CV by e-mail to Fabio Martelli:</p>

<p>fabio.martelli@grupposandonato.it</p>

<p>Location: Laboratory of Molecular Cardiology at Policlinico San Donato-IRCCS, Milan, Italy.<br />Link: https://www.researchgate.net/profile/Fabio_Martelli<br />Contact person: Fabio Martelli<br />Contact email: fabio.martelli@grupposandonato.it</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44661/lovis4u-locus-visualisation-tool-for-comparative-genomics</guid>
	<pubDate>Tue, 17 Sep 2024 02:30:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44661/lovis4u-locus-visualisation-tool-for-comparative-genomics</link>
	<title><![CDATA[LoVis4u: Locus Visualisation tool for comparative genomics]]></title>
	<description><![CDATA[<p dir="auto"><a href="https://github.com/art-egorov/lovis4u/blob/main/docs/img/lovis4u_logo.png" target="_blank"><img src="https://github.com/art-egorov/lovis4u/raw/main/docs/img/lovis4u_logo.png" alt="image" width="300" style="border: 0px; border: 0px;"></a></p>
<div dir="auto">
<h2 dir="auto">Description</h2>
<a href="https://github.com/art-egorov/lovis4u#description"></a></div>
<p dir="auto"><span>LoVis4u</span>&nbsp;is a bioinformatics tool for&nbsp;<span>Lo</span>ci&nbsp;<span>Vis</span>ualisation.</p>
<p dir="auto"><span>LoVis4u, a command-line tool and Python API designed for highly customizable and fast visualisation of multiple genomic loci. LoVis4u generates vector images in PDF format based on annotation data from GenBank or GFF files. It is capable of visualising entire genomes of bacteriophages as well as plasmids and user-defined regions of longer prokaryotic genomes. Additionally, LoVis4u offers optional data processing steps to identify and highlight accessory and core genes in input sequences.</span></p>
<p dir="auto">https://art-egorov.github.io/lovis4u/</p>
<p dir="auto">&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/art-egorov/lovis4u" rel="nofollow">https://github.com/art-egorov/lovis4u</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

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