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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/45349?offset=580</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24298/staff-scientists-at-national-institute-of-plant-genome-research-new-delhi</guid>
  <pubDate>Fri, 04 Sep 2015 22:06:59 -0500</pubDate>
  <link></link>
  <title><![CDATA[Staff Scientists at National Institute of Plant Genome Research, New Delhi]]></title>
  <description><![CDATA[
<p>National Institute of Plant Genome Research, New Delhi is an Autonomous Research Institution funded by Department of Biotechnology, Ministry of Science &amp; Technology, Govt. of India, to pursue research on various aspects of plant genomics. The Institute is also in the process of establishing a NIPGR Translational Centre at Biotech Science Cluster, NCR, Faridabad. NIPGR invites applications from Indian Citizens for filling up the vacant posts on Direct Recruitment basis, as detailed below. The posts are temporary but likely to continue.</p>

<p>Staff Scientists</p>

<p>Specialization: Applicant should have a Ph.D. with excellent academic credentials along with the track record of scientific productivity evidenced by publications/patents/products in the frontier areas of Plant Biology such as, Computational Biology, Genome Analysis and Molecular Mapping, Molecular Mechanism of Abiotic Stress Responses, Nutritional Genomics, Plant Development and Architecture, Plant Immunity, Molecular Breeding, Transgenics for crop improvement and other emerging areas based on plant genomics.</p>

<p>Remuneration: The length of experience and scientific accomplishments/quality of scientific productivity record will be major factors in deciding the level of appointment as Staff Scientist as well as starting salary in the Pay Bands of Rs 15,600-39,100 (with grade pay of  5400), and Rs 37,400-67,000 (with grade pay of  8,700 and  8,900) plus usual allowances admissible to the Central Government employees. However, NIPGR reserves the right to select candidates in the lower grade against the foregoing posts depending upon the qualifications and experience of the candidate. Reservation of posts shall be as per Govt. of India norms. Five posts (SC-2, ST-1, OBC-2) in the Pay Band of Rs 15,600-39,100 with Grade Pay of  Rs 5400, are reserved.</p>

<p>More at http://www.nipgr.res.in/careers/vacancies_latest.php#</p>

<p>Apply online at http://www.nipgr.res.in/nipgr_recu/nipgr_recu.php</p>

<p>Form http://www.nipgr.res.in/files/careers/Application_Performa_2015.doc</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36833/bfc-a-standalone-high-performance-tool-for-correcting-sequencing-errors-from-illumina-sequencing-data</guid>
	<pubDate>Thu, 31 May 2018 09:35:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36833/bfc-a-standalone-high-performance-tool-for-correcting-sequencing-errors-from-illumina-sequencing-data</link>
	<title><![CDATA[BFC: a standalone high-performance tool for correcting sequencing errors from Illumina sequencing data]]></title>
	<description><![CDATA[BFC is a standalone high-performance tool for correcting sequencing errors from Illumina sequencing data. It is specifically designed for high-coverage whole-genome human data, though also performs well for small genomes.

The BFC algorithm is a variant of the classical spectrum alignment algorithm introduced by Pevzner et al (2001). It uses an exhaustive search to find a k-mer path through a read that minimizes a heuristic objective function jointly considering penalties on correction, quality and k-mer support. This algorithm was first implemented in my fermi assembler and then refined a few times in fermi, fermi2 and now in BFC. In the k-mer counting phase, BFC uses a blocked bloom filter to filter out most singleton k-mers and keeps the rest in a hash table (Melsted and Pritchard, 2011). The use of bloom filter is how BFC is named, though other correctors such as Lighter and Bless actually rely more on bloom filter than BFC.

https://github.com/lh3/bfc<p>Address of the bookmark: <a href="https://github.com/lh3/bfc" rel="nofollow">https://github.com/lh3/bfc</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37259/epiviz-an-interactive-visualization-tool-for-functional-genomics-data</guid>
	<pubDate>Mon, 09 Jul 2018 05:27:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37259/epiviz-an-interactive-visualization-tool-for-functional-genomics-data</link>
	<title><![CDATA[Epiviz: an interactive visualization tool for functional genomics data.]]></title>
	<description><![CDATA[<p><span>Epiviz is an interactive visualization tool for functional genomics data. It supports genome navigation like other genome browsers, but allows multiple visualizations of data within genomic regions using scatterplots, heatmaps and other user-supplied visualizations. It also includes data from the&nbsp;</span><a href="http://barcode.luhs.org/" target="_blank">Gene Expression Barcode project</a><span>&nbsp;for transcriptome visualization. It has a flexible plugin framework so users can add</span><a href="http://d3js.org/" target="_blank">d3</a><span>&nbsp;visualizations. You can see a video tour&nbsp;</span><a href="http://youtu.be/099c4wUxozA" target="_blank">here</a><span>.</span></p>
<p><span>https://bioconductor.org/packages/release/bioc/html/epivizr.html</span></p>
<p><span>https://github.com/epiviz</span></p>
<p><span>https://github.com/epiviz/epiviz</span></p><p>Address of the bookmark: <a href="https://epiviz.github.io/" rel="nofollow">https://epiviz.github.io/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24666/bioinformatics-faculty-at-bharathidasan-university</guid>
  <pubDate>Sat, 26 Sep 2015 20:34:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Faculty at BHARATHIDASAN UNIVERSITY]]></title>
  <description><![CDATA[
<p>BHARATHIDASAN UNIVERSITY</p>

<p>(Reaccredited by NAAC with ‘A’ grade)</p>

<p>TIRUCHIRAPPALLI - 620 024</p>

<p>I N V I T E S</p>

<p>APPLICATIONS FOR FACULTY POSITIONS UNDER UGC XII PLAN CREATED POSTS ON CONTRACTUAL BASIS TILL 31.03.2017 IN THE FOLLOWING UNIVERSITY DEPARTMENTS. (Notification No. 31300 /H2/2015, Dt.: 18.09.2015)</p>

<p>ASSISTANT PROFESSOR</p>

<p>1. Bio-Informatics ONE (MBC)</p>

<p>2. Bio-Chemistry ONE G.T.(W)DW</p>

<p>Consolidated Pay of Rs.45,000/- p.m.</p>

<p>Qualification : As per UGC/AICTE/NCTE norms</p>

<p>Application along with other details including specialization can be downloaded from the University website www.bdu.ac.in</p>

<p>LAST DATE FOR RECEIPT OF FILLED IN APPLICATION IS 07.10.2015 BY 5.00 P.M.</p>

<p>More Info : www.bdu.ac.in/adv/UGC_XII_Plan_Contract_Positions.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37524/fmlrc-a-long-read-error-correction-tool-using-the-multi-string-burrows-wheeler-transform</guid>
	<pubDate>Fri, 10 Aug 2018 13:29:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37524/fmlrc-a-long-read-error-correction-tool-using-the-multi-string-burrows-wheeler-transform</link>
	<title><![CDATA[FMLRC: a long-read error correction tool using the multi-string Burrows Wheeler Transform]]></title>
	<description><![CDATA[<p><span>FMLRC, or FM-index Long Read Corrector, is a tool for performing hybrid correction of long read sequencing using the BWT and FM-index of short-read sequencing data. Given a BWT of the short-read sequencing data, FMLRC will build an FM-index and use that as an implicit de Bruijn graph. Each long read is then corrected independently by identifying low frequency k-mers in the long read and replacing them with the closest matching high frequency k-mers in the implicit de Bruijn graph. In contrast to other de Bruijn graph based implementations, FMLRC is not restricted to a particular k-mer size and instead uses a two pass method with both a short "k-mer" and a longer "K-mer". This allows FMLRC to correct through low complexity regions that are computational difficult for short k-mers.</span></p><p>Address of the bookmark: <a href="https://github.com/holtjma/fmlrc" rel="nofollow">https://github.com/holtjma/fmlrc</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27253/ra-bioinformatics-at-jnu-delhi</guid>
  <pubDate>Tue, 10 May 2016 01:50:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[R.A Bioinformatics at JNU, Delhi]]></title>
  <description><![CDATA[
<p>R.A Jobs opportunity in Jawaharlal Nehru University (JNU) on purely temporary basis</p>

<p>Project Title : "Structural and functional characterization of serine biosynthetic pathway enzymes from Entamoeba histolytica"</p>

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

<p>Qualification : Ph.D in any computational biology / bioinformatics</p>

<p>Desirable : 1. Experience with docking, simulations and structural biology with proof of publications is preferred. 2. National Eligibility Test cleared [CSIR/UGC] candidate is preferred.</p>

<p>Salary : According to CSIR rules<br />How to apply</p>

<p>The application on plain paper indicating name, date of birth/age, address, essential/technical/professional qualifications. experience, list of publications should reach The Prof. S. Gourinath, Principal Investigator, [Project Director], School of Life Sciences, Jawaharlal Nehru University, New Delhi-110067, on or before 23rd May 2016.</p>

<p>More at http://www.jnu.ac.in/Career/currentjobs.htm</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37672/seqmonka-tool-to-visualise-and-analyse-high-throughput-mapped-sequence-data</guid>
	<pubDate>Tue, 11 Sep 2018 04:39:38 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37672/seqmonka-tool-to-visualise-and-analyse-high-throughput-mapped-sequence-data</link>
	<title><![CDATA[SeqMonk:A tool to visualise and analyse high throughput mapped sequence data]]></title>
	<description><![CDATA[<p>SeqMonk is a program to enable the visualisation and analysis of mapped sequence data. It was written for use with mapped next generation sequence data but can in theory be used for any dataset which can be expressed as a series of genomic positions. It's main features are:</p>
<ul>
<li>Import of mapped data from mapped data (BAM/SAM/bowtie etc)</li>
<li>Creation of data groups for visualisation and analysis</li>
<li>Visualisation of mapped regions against an annotated genome.</li>
<li>Flexible quantitation of the mapped data to allow comparisons between data sets</li>
<li>Statistical analysis of data to find regions of interest</li>
<li>Creation of reports containing data and genome annotation</li>
</ul><p>Address of the bookmark: <a href="http://www.bioinformatics.babraham.ac.uk/projects/seqmonk/" rel="nofollow">http://www.bioinformatics.babraham.ac.uk/projects/seqmonk/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<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>
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<item>
	<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>
</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>
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