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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44900?offset=240</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44551/bioinformatic-tools-for-pathogens-informatics-at-cvr</guid>
	<pubDate>Sat, 08 Jun 2024 15:59:46 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44551/bioinformatic-tools-for-pathogens-informatics-at-cvr</link>
	<title><![CDATA[Bioinformatic tools for pathogens informatics at CVR]]></title>
	<description><![CDATA[<div><div><div><div><div><p>Novel sequencing and analytical approaches focused on studying viruses and virus-host interactions. Below you will find summaries and links to a number of bioinformatic tools that have been developed @ CVR.</p></div><div><h3><a href="http://giffordlabcvr.github.io/DIGS-tool/" target="_blank" title="DIGS">DIGS</a></h3></div><div><p>The database-integrated genome-screening (DIGS) tool provides a framework for implementing automated in silico screening of sequence databases using BLAST in combination with a relational database (MySQL).</p></div><div><h3><a href="https://bioinformatics.cvr.ac.uk/software/discvr/" target="" title="DisCVR">DisCVR</a></h3></div><div><p>DisCVR is a Diagnostic tool for detecting known human viruses in clinical samples from Next-Generation Sequencing (NGS) data. The tool uses a simple and straightforward Graphical User Interface and is optimized on Windows OS without compromising speed and accuracy.</p></div><div><h3><a href="http://josephhughes.github.io/DiversiTools/" target="_blank" title="DiversiTools">DiversiTools</a></h3></div><div><p>DiversiTools is a computational tool that is specifically tailored towards viral HTS data sets and the analysis of the underlying viral populations that they represent. It was initially developed in collaboration with a number of virologists interested in characterising the intra-host diversity of viral populations and studying their evolution across transmission chains at the micro-evolutionary scale.</p></div><div><h3><a href="http://glue-tools.cvr.gla.ac.uk/" target="_blank" title="GLUE">GLUE</a></h3></div><div><p>GLUE is a flexible data-centric bioinformatics environment for virus sequence data, with a focus on virus evolution and genomic variation. GLUE has been applied to a range of viruses. A GLUE-based resource focused on Hepatitis C virus is HCV-GLUE.</p></div><div><h3><a href="https://bioinformatics.cvr.ac.uk/tanoti/" target="_blank" title="Tanoti">Tanoti</a></h3></div><div><p>Tanoti is a BLAST guided reference based short read aligner. It is developed for maximising alignment in highly variable next generation sequence data sets (Illumina).</p></div><div><h3><a href="https://bioinformatics.cvr.ac.uk/victree/" target="_blank" title="VicTREE">ViCTree</a></h3></div><div><p>ViCTree is a bioinformatic framework that automatically selects new candidate virus sequences from GenBank, generates multiple sequence alignments, calculates a maximum likelihood phylogeny and integrates the sequences into the existing phylogenetic trees.&nbsp;<span>For more information click&nbsp;</span><a href="https://bioinformatics.cvr.ac.uk/victree_web/" target="_blank">here</a>.</p></div></div></div></div></div><div><div><div><div><div><h3><a href="https://bioinformatics.cvr.ac.uk/software/viral-host-predictor/" target="" title="Viral Host Predictor">Viral Host Predictor</a></h3></div><div><p>Viral Host Predictor provides a fast and simple way to predict the hosts and vectors of RNA viruses from viral sequences.</p></div><div><h3><a href="https://github.com/salvocamiolo/GRACy/releases/tag/v0.4.4" target="_blank" title="GRACy">GRACy</a></h3></div><div><p>GRACy is a bioinformatic tool designed for the analysis of Illumina data originated from Human cytomegalovirus samples. GRACy can be used to perform read quality filtering, genotyping, de novo assembly, variant detection, annotation and data submission to public database.</p></div><div><h3><a href="https://github.com/salvocamiolo/LoReTTA/releases/tag/v0.1" target="_blank" title="LoReTTA">LoReTTA</a></h3></div><div><p>LoReTTA (Long Read Template Targeted Assembler) is a reference assisted de novo assembler specifically designed to deal with PacBio reads generated from viral genomes.&nbsp;</p></div><div><h3><a href="https://bioinformatics.cvr.ac.uk/software/bingleseq/" target="" title="BingleSeq">BingleSeq</a></h3></div><div><p>BingleSeq is a R-package enables the user-friendly analysis of count tables obtained by both Bulk RNA-Seq and single-cell RNA-Seq protocols. The development of BingleSeq focused on providing a flexible and intuitive user experience.</p></div></div></div></div></div>]]></description>
	<dc:creator>Abhi</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9429/srf-vacancy-at-nipgr</guid>
  <pubDate>Tue, 25 Mar 2014 19:20:44 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF Vacancy at NIPGR]]></title>
  <description><![CDATA[
<p>Applications are invited from suitable candidates for filling up the purely temporary position of one Senior Research Fellow in DST’s Indo-Australian Joint project (with ICRISAT) entitled “Genomic Approach for Stress Tolerant Chickpea” under the guidance of Dr. Mukesh Jain, Scientist, NIPGR.</p>

<p>(A) Senior Research Fellow (One Post):    Emoluments as per DST/DBT norms.</p>

<p>Candidates having M.Sc. degree (with minimum of 55% marks) or equivalent in Life Sciences/Biotechnology/Bioinformatics/ Molecular Biology or any other related field with minimum of two years of post M.Sc. research experience are eligible to apply. The candidate having computer skill (Linux, Perl, Java, MySQL) and/or experience in advanced molecular biology, next generation sequencing data analysis and molecular markers analysis will be preferred.</p>

<p>The position is completely on temporary basis and co-terminus with the project. The initial appointment will be for one year, which can be curtailed/extended on the basis of assessment of the candidate’s performance and discretion of the Competent Authority. NIPGR reserves the right to select the candidate against the above posts depending upon the qualifications and experience of the candidates. Reservation of posts shall be as per Govt. of India norms.</p>

<p>Eligible candidates may apply by sending hard copy of completed application in the given format with a cover letter showing interest and attested copies of the certificates and proof of research experience. The applications should reach at the address given below within 15 days from the date of the advertisement. The subject line on envelope must be superscribed by “Application for the Post of SRF in DST - AISRF project”.</p>

<p>Note: ONLY hard copy of the application in the given format will be accepted.</p>

<p>Last date April 03, 2014</p>

<p>Dr. Mukesh Jain<br />Staff Scientist<br />National Institute of Plant Genome Research<br />Aruna Asaf Ali Marg, P.O. Box NO. 10531,<br />New Delhi - 110067</p>

<p>Advertisement: http://www.nipgr.res.in/careers/vacancies_latest.php#</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41678/gridss-the-genomic-rearrangement-identification-software-suite</guid>
	<pubDate>Sun, 17 May 2020 10:27:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41678/gridss-the-genomic-rearrangement-identification-software-suite</link>
	<title><![CDATA[GRIDSS: the Genomic Rearrangement IDentification Software Suite]]></title>
	<description><![CDATA[<p>GRIDSS is a module software suite containing tools useful for the detection of genomic rearrangements. GRIDSS includes a genome-wide break-end assembler, as well as a structural variation caller for Illumina sequencing data. GRIDSS calls variants based on alignment-guided positional de Bruijn graph genome-wide break-end assembly, split read, and read pair evidence.</p><p>Address of the bookmark: <a href="https://github.com/PapenfussLab/gridss" rel="nofollow">https://github.com/PapenfussLab/gridss</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33506/bedops-v2426-high-performance-genomic-feature-operations</guid>
	<pubDate>Mon, 12 Jun 2017 10:11:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33506/bedops-v2426-high-performance-genomic-feature-operations</link>
	<title><![CDATA[BEDOPS v2.4.26: high-performance genomic feature operations]]></title>
	<description><![CDATA[<p><strong>BEDOPS v2.4.26</strong> is a suite of tools to address common questions raised in genomic studies &mdash; mostly with regard to overlap and proximity relationships between data sets. It aims to be scalable and flexible, facilitating the efficient and accurate analysis and management of large-scale genomic data.</p>
<p>The <a href="https://bedops.readthedocs.io/en/latest/content/overview.html#overview">overview</a> section of the <strong>BEDOPS v2.4.26</strong> documentation summarizes the toolkit, functionality and performance enhancements. The <a href="https://bedops.readthedocs.io/en/latest/index.html#reference">reference</a> table offers documentation for all applications and scripts.</p><p>Address of the bookmark: <a href="https://github.com/bedops/bedops" rel="nofollow">https://github.com/bedops/bedops</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34549/kraken-a-universal-genomic-coordinate-translator-for-comparative-genomics</guid>
	<pubDate>Thu, 07 Dec 2017 04:45:43 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34549/kraken-a-universal-genomic-coordinate-translator-for-comparative-genomics</link>
	<title><![CDATA[kraken: A universal genomic coordinate translator for comparative genomics]]></title>
	<description><![CDATA[<p><span>If you planning on conducting a study involving dozens of large genomes, then you do not have to run all pairwise synteny alignments .. simply try&nbsp;kraken: A universal genomic coordinate translator for comparative genomics</span></p><p>Address of the bookmark: <a href="https://github.com/nedaz/kraken" rel="nofollow">https://github.com/nedaz/kraken</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36907/higlass-a-tool-for-exploring-genomic-contact-matrices-and-tracks</guid>
	<pubDate>Mon, 11 Jun 2018 09:44:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36907/higlass-a-tool-for-exploring-genomic-contact-matrices-and-tracks</link>
	<title><![CDATA[HiGlass: a tool for exploring genomic contact matrices and tracks.]]></title>
	<description><![CDATA[HiGlass is a tool for exploring genomic contact matrices and tracks. Please take a look at the examples and documentation for a description of the ways that it can be configured to explore and compare contact matrices. To load private data, HiGlass can be run locally within a Docker container. The HiC data in the examples below is from Rao et al. (2014)

http://higlass.io/<p>Address of the bookmark: <a href="http://higlass.io/" rel="nofollow">http://higlass.io/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38053/swgis-v20-a-seqword-genomic-island-sniffer</guid>
	<pubDate>Thu, 01 Nov 2018 12:35:52 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38053/swgis-v20-a-seqword-genomic-island-sniffer</link>
	<title><![CDATA[swgis v2.0 : a seqword genomic island sniffer]]></title>
	<description><![CDATA[<p><strong>swgis v2.0</strong>&nbsp;is the modified version of the seqword genomic island sniffer. this version is specifically optimized for predicting genomic islands in eukaryotic genomes. swgis v2.0 was tested on several eukaryotic species of different lineages. all identified genomic islands were deposited in the&nbsp;<a href="http://eugi.bi.up.ac.za/" title="Go to EuGI database">eugi database</a>.</p>
<p><a href="http://eugi.bi.up.ac.za/download_swgis/swgisv2.0.zip" title="Download SWGIS v2.0">download swgis v2.0</a></p><p>Address of the bookmark: <a href="http://eugi.bi.up.ac.za/eugi_download_swgis.php" rel="nofollow">http://eugi.bi.up.ac.za/eugi_download_swgis.php</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/38682/bourque-lab</guid>
  <pubDate>Mon, 14 Jan 2019 15:39:25 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bourque Lab]]></title>
  <description><![CDATA[
<p>The goal of the lab is to understand mammalian genomes using comparative genomic and epigenomic analyses. Areas of interest include: the evolution of regulatory sequences, the role of transposable elements in gene regulation and the impact of genome rearrangements in evolution and cancer.</p>

<p>As a computational genomicists our work involves examining billions of DNA base pairs and interpreting how variation impacts basic biology and disease. We develop computational methods and resources for the functional annotation of genomes with a special emphasis on sequencing-based assays (e.g. ChIP-seq, RNA-Seq, exome- and whole-genome sequencing, single-cell analysis).</p>

<p>http://www.computationalgenomics.ca</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41405/sequence-tube-maps-displays-multiple-genomic-sequences-in-the-form-of-a-tube-map</guid>
	<pubDate>Wed, 11 Mar 2020 01:12:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41405/sequence-tube-maps-displays-multiple-genomic-sequences-in-the-form-of-a-tube-map</link>
	<title><![CDATA[Sequence Tube Maps: displays multiple genomic sequences in the form of a tube map]]></title>
	<description><![CDATA[<p>A JavaScript module for the visualization of genomic sequence graphs. It automatically generates a "tube map"-like visualization of sequence graphs which have been created with <a href="https://github.com/vgteam/vg">vg</a>. (<a href="https://github.com/vgteam/vg">https://github.com/vgteam/vg</a>)</p>
<h3>Link to working demo: <a href="https://vgteam.github.io/sequenceTubeMap/">https://vgteam.github.io/sequenceTubeMap/</a></h3>
<p><img src="https://raw.githubusercontent.com/vgteam/sequenceTubeMap/master/images/header.png" alt="image" style="border: 0px; border: 0px;"></p><p>Address of the bookmark: <a href="https://github.com/vgteam/sequenceTubeMap" rel="nofollow">https://github.com/vgteam/sequenceTubeMap</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44589/sourmash-quickly-search-compare-and-analyze-genomic-and-metagenomic-data-sets</guid>
	<pubDate>Sat, 06 Jul 2024 04:24:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44589/sourmash-quickly-search-compare-and-analyze-genomic-and-metagenomic-data-sets</link>
	<title><![CDATA[sourmash: Quickly search, compare, and analyze genomic and metagenomic data sets.]]></title>
	<description><![CDATA[<p dir="auto">sourmash is a k-mer analysis multitool, and we aim to provide stable, robust programmatic and command-line APIs for a variety of sequence comparisons. Some of our special sauce includes:</p>
<ul dir="auto">
<li><code>FracMinHash</code>&nbsp;sketching, which enables accurate comparisons (including ANI) between data sets of different sizes</li>
<li><code>sourmash gather</code>, a combinatorial k-mer approach for more accurate metagenomic profiling</li>
</ul>
<p dir="auto">Please see the&nbsp;<a href="https://sourmash.readthedocs.io/en/latest/publications.html#sourmash-fundamentals">sourmash publications</a>&nbsp;for details.</p>
<p dir="auto">The name is a riff off of&nbsp;<a href="https://github.com/marbl/Mash">Mash</a>, combined with @ctb's love of whiskey. (<a href="https://en.wikipedia.org/wiki/Sour_mash">Sour mash</a>&nbsp;is used in making whiskey.)</p>
<p dir="auto">Maintainers:&nbsp;<a href="mailto:titus@idyll.org">C. Titus Brown</a>&nbsp;(<a href="http://github.com/ctb">@ctb</a>),&nbsp;<a href="mailto:luiz@sourmash.bio">Luiz C. Irber, Jr</a>&nbsp;(<a href="http://github.com/luizirber">@luizirber</a>), and&nbsp;<a href="mailto:tessa@sourmash.bio">N. Tessa Pierce-Ward</a>&nbsp;(<a href="http://github.com/bluegenes">@bluegenes</a>).</p>
<p dir="auto">sourmash was initially developed by the&nbsp;<a href="http://ivory.idyll.org/lab/">Lab for Data-Intensive Biology</a>&nbsp;at the&nbsp;<a href="http://www.vetmed.ucdavis.edu/">UC Davis School of Veterinary Medicine</a>, and now includes contributions from the global research and developer community.</p><p>Address of the bookmark: <a href="https://github.com/sourmash-bio/sourmash" rel="nofollow">https://github.com/sourmash-bio/sourmash</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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