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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30440?offset=1340</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36884/halc-high-throughput-algorithm-for-long-read-error-correction</guid>
	<pubDate>Fri, 08 Jun 2018 10:47:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36884/halc-high-throughput-algorithm-for-long-read-error-correction</link>
	<title><![CDATA[HALC: High throughput algorithm for long read error correction]]></title>
	<description><![CDATA[HALC, a high throughput algorithm for long read error correction. HALC aligns the long reads to short read contigs from the same species with a relatively low identity requirement so that a long read region can be aligned to at least one contig region, including its true genome region’s repeats in the contigs sufficiently similar to it (similar repeat based alignment approach)

HALC was able to obtain 6.7-41.1% higher throughput than the existing algorithms while maintaining comparable accuracy. The HALC corrected long reads can thus result in 11.4-60.7% longer assembled contigs than the existing algorithms.<p>Address of the bookmark: <a href="https://github.com/lanl001/halc" rel="nofollow">https://github.com/lanl001/halc</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23536/teaching-assistant-at-svims</guid>
  <pubDate>Fri, 31 Jul 2015 10:15:16 -0500</pubDate>
  <link></link>
  <title><![CDATA[Teaching Assistant at SVIMS]]></title>
  <description><![CDATA[
<p>Eligible candidates are invited for a walk-in-interview for recruitment of Teaching Assistant in the Department of Bioinformatics on 8.08.2015 at 10 A.M. in the Committee Hall, SVIMS, Tirupati. The candidates have to attend with all original certificates of qualification, experience on the date of interview. The engagement will be made purely on adhoc basis for a period of 6 months and it can be terminated at any time without notice or without assigning any reason thereof. This is purely an adhoc appointment and the candidate will not have any right to claim permanent benefits of any kind.</p>

<p>1. Remuneration : Rs. 12000/- per month (consolidated)</p>

<p>2. Qualification : M.Sc./M.Tech. Bioinformatics (preference will be given to the candidates with BINC / NET / GATE / Bioinformatics DBT-Traineeship / Studentship and teaching experience)</p>

<p>3. Place of work : Department of Bioinformatics, SVIMS, Tirupati</p>

<p>4. No. of Position : One</p>

<p>Terms and conditions:</p>

<p>1. Candidates are required to submit the Biodata, attested copies of relevant certificates in support of their age, educational qualification, experience etc., before the interview committee, SVIMS University, Tirupati.<br />2. No TA / DA will be paid for attending the interview.<br />3. Interim enquiries will not be entertained.<br />4. The maximum age limit for Teaching Assistant is 34 years as on 8th August, 2015.<br />5. The tenure of will be further extended subject to performance of the incumbent.</p>

<p>Advertisement: http://svimsbic.org/Teaching_Assistant_B.I._2015.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37457/nanofilt-filtering-and-trimming-of-long-read-sequencing-data</guid>
	<pubDate>Mon, 30 Jul 2018 12:01:52 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37457/nanofilt-filtering-and-trimming-of-long-read-sequencing-data</link>
	<title><![CDATA[nanofilt: Filtering and trimming of long read sequencing data]]></title>
	<description><![CDATA[<p>Filtering on quality and/or read length, and optional trimming after passing filters.<br>Reads from stdin, writes to stdout.</p>
<p>Intended to be used:</p>
<ul>
<li>directly after fastq extraction</li>
<li>prior to mapping</li>
<li>in a stream between extraction and mapping</li>
</ul>
<p>https://github.com/wdecoster/nanofilt</p><p>Address of the bookmark: <a href="https://github.com/wdecoster/nanofilt" rel="nofollow">https://github.com/wdecoster/nanofilt</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/view/19838</guid>
	<pubDate>Sat, 27 Dec 2014 13:30:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/view/19838</link>
	<title><![CDATA[Interview with a bioinformatician series ...]]></title>
	<description><![CDATA[<p>The aim of this series to interviews some notable bioinformaticians to get their views on various aspects of bioinformatics research. Hopefully these answers will prove useful to others in the field, especially to those who are just starting their bioinformatics careers.<br /><br />This series will be available at BOL every fortnight.<br /><br /><br /><br /></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37957/base-a-practical-de-novo-assembler-for-large-genomes-using-long-ngs-reads</guid>
	<pubDate>Fri, 19 Oct 2018 07:25:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37957/base-a-practical-de-novo-assembler-for-large-genomes-using-long-ngs-reads</link>
	<title><![CDATA[BASE: a practical de novo assembler for large genomes using long NGS reads]]></title>
	<description><![CDATA[<p><span>new&nbsp;</span><em>de novo</em><span>&nbsp;assembler called BASE. It enhances the classic seed-extension approach by indexing the reads efficiently to generate adaptive seeds that have high probability to appear uniquely in the genome. Such seeds form the basis for BASE to build extension trees and then to use reverse validation to remove the branches based on read coverage and paired-end information, resulting in high-quality consensus sequences of reads sharing the seeds. Such consensus sequences are then extended to contigs.</span></p><p>Address of the bookmark: <a href="https://github.com/dhlbh/BASE" rel="nofollow">https://github.com/dhlbh/BASE</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/19992/binc-examination-2015</guid>
	<pubDate>Mon, 29 Dec 2014 12:23:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/19992/binc-examination-2015</link>
	<title><![CDATA[BINC examination 2015 !!!]]></title>
	<description><![CDATA[<p>Pondicherry University,Puducherry,on behalf of Department of Biotechnology, Government of India, will conduct the BINC examination in 2015. The objective of this examination is to certify bioinformatics professionals, trained formally as well as self-trained.Registration for BINC examination 2015 will open soon.</p><p>Pondicherry University Puducherry has been identified as a nodal agency by the Department of Biotechnology, Govt. of India to coordinate this examination along with nine centres namely, Pune University, Pune; Anna University, Chennai; Calcatta University (WBUT) Kolkata; Institute of Bioinformatics &amp; Applied Biotechnology, Bangalore; North-Eastern Hill University, Shillong, University of Hyderabad, Hyderabad; University of Kerala, Thiruvananthapuram; Jawaharlal Nehru University, New Delhi and Assam Agricultural University, Guwahati.</p><p>In the BINC 2013 examination,17 candidates were certified. DBT has agreed to fund Research fellowships for all the BINC qualified Indian nationals to pursue Ph.D. in Indian Institutes/Universities. Note that the candidate must possess a postgraduate degree(or equivalent) &amp; meet the criteria of the institutes/universities in order to avail research fellowship. In addition, cash prize of Rs. 10,000/- will be awarded to the top 10 BINC qualifiers.<br /><br /></p><p>More at http://210.212.230.224:9999/BINC/</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38829/nquire-a-statistical-framework-for-ploidy-estimation-using-ngs-short-read-data</guid>
	<pubDate>Thu, 31 Jan 2019 05:12:19 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38829/nquire-a-statistical-framework-for-ploidy-estimation-using-ngs-short-read-data</link>
	<title><![CDATA[nQuire: A statistical framework for ploidy estimation using NGS short-read data]]></title>
	<description><![CDATA[<p>nQuire implements a set of commands to estimate ploidy level of individuals from species, where recent polyploidization occurred and intraspecific ploidy variation is observed. Specifically, nQuire uses next-generation sequencing data to distinguish between diploids, triploids and tetraploids, on the basis of frequency distributions at variant sites where only two bases are segregating.</p>
<p>For more background see also the publication at&nbsp;<a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2128-z">BMC Bioinformatics</a>.</p>
<p>https://github.com/clwgg/nQuire</p><p>Address of the bookmark: <a href="https://github.com/clwgg/nQuire" rel="nofollow">https://github.com/clwgg/nQuire</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/20448/jrf-in-bioinformatics-nehu</guid>
  <pubDate>Tue, 20 Jan 2015 22:57:49 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF in Bioinformatics @ NEHU]]></title>
  <description><![CDATA[
<p>Department of Botany &amp; Bioinformatics Centre<br />NORTH-EASTERN HILL UNIVERSITY, SHILLONG 793022</p>

<p>Applications with complete bio-data from candidates possessing the required qualifications are invited for the posts of JRF (2) and Project Assistant (1) in</p>

<p>DBT, GOI-funded research project “Next Generation Sequencing (NGS)- based de novo assembly of expressed transcripts and genome information of Orchids in North-East India” in DBT’s Twinning programme for NE as per DBT sanction order and norms.</p>

<p>(i) JRF(2 nos.):</p>

<p>Qualifications: M.Tech/M.Sc in Life Sciences/ Botany/ Zoology/Biochemistry/ Biotechnology/ Bioinformatics; Desirable: Aptitude for Bioinformatics and Computer Programming/ Next generation sequencing data analysis</p>

<p>(ii) Project Assistant (1 no.):</p>

<p>Qualifications: Graduation in Science, Desirable: Experience of working in a Life Science/Plant Biotechnology lab. and familiarity with computers and field work viz. collection of samples.</p>

<p>The applications through email bicnehu@gmail.com or post must reach the undersigned<br />within 15 days from the date of publication of this advertisement. The advertised posts are purely temporary for the duration of the project and subject to availability of the funds from DBT. The appointment does not confer any entitlement or right over the posts for absorption in the University service.</p>

<p>Advertisement: www.nehu.ac.in/Advertisements/BICAdvtPV_200115.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40546/clincnv-detection-of-copy-number-changes-in-germlinetriosomatic-contexts-in-ngs-data</guid>
	<pubDate>Thu, 16 Jan 2020 23:16:02 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40546/clincnv-detection-of-copy-number-changes-in-germlinetriosomatic-contexts-in-ngs-data</link>
	<title><![CDATA[ClinCNV: Detection of copy number changes in Germline/Trio/Somatic contexts in NGS data]]></title>
	<description><![CDATA[<p><span>ClinCNV detects CNVs in germline and somatic context in NGS data (targeted and whole-genome). We work in cohorts, so it makes sense to try&nbsp;</span><code>ClinCNV</code><span>&nbsp;if you have more than 10 samples (recommended amount - 40 since we estimate variances from the data). By "cohort" we mean samples sequenced with the same enrichment kit with approximately the same depth (ie 1x WGS and 30x WGS better be analysed in separate runs of ClinCNV). Of course it is better if your samples were sequenced within the same sequencing facility.</span></p><p>Address of the bookmark: <a href="https://github.com/imgag/ClinCNV" rel="nofollow">https://github.com/imgag/ClinCNV</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/20362/20th-international-bioinformatics-workshop-on-virus-evolution-and-molecular-epidemiology-veme</guid>
  <pubDate>Mon, 12 Jan 2015 01:39:45 -0600</pubDate>
  <link></link>
  <title><![CDATA[20th International BioInformatics Workshop on Virus Evolution and Molecular Epidemiology (VEME)]]></title>
  <description><![CDATA[
<p>20th International BioInformatics Workshop on Virus Evolution and Molecular Epidemiology (VEME)<br />9 - 14 August 2015 St. Augustine, Trinidad and Tobago </p>

<p>Organiser: Christine Carrington (University of the West Indies - UWI, St. Augustine, Trinidad and Tobago)<br />Co-organisers: Anne-Mieke Vandamme, Philippe Lemey (Katholieke Universiteit Leuven, Belgium), Marco Salemi, Mattia Prosperi (University of Florida, Gainesville, USA) and Karen E. Nelson (J. Craig Venter Institute, Rockville, USA)</p>

<p>Requests for information directly to:<br />Christine Carrington<br />Department of Preclinical Sciences<br />Faculty of Medical Sciences<br />University of the West Indies (UWI)<br />St. Augustine<br />Trinidad and Tobago<br />Telephone: +1-868-6452640 ext. 5009, +1-868-6848803<br />Fax: +1-868-6621873<br />E-mail: veme2015@sta.uwi.edu</p>

<p>Deadline for receipt of applications by local organiser: 15 March 2015<br />CALL FOR APPLICATIONS NOW OPEN<br />http://www.icgeb.org/course-application-trinidad-and-tobago-2015.html</p>

<p>http://rega.kuleuven.be/cev/veme-workshop/2015</p>
]]></description>
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