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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/27696?offset=500</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/20387/walk-in-interview-for-project-assistant-bharathidasan-university</guid>
  <pubDate>Mon, 12 Jan 2015 21:54:10 -0600</pubDate>
  <link></link>
  <title><![CDATA[WALK-IN-INTERVIEW FOR PROJECT ASSISTANT @ BHARATHIDASAN UNIVERSITY]]></title>
  <description><![CDATA[
<p>BHARATHIDASAN UNIVERSITY<br />DEPARTMENT OF BIOINFORMATICS, SCHOOL OF LIFE SCIENCES, TIRUCHIRAPPALLI – 620024</p>

<p>Project title: “Genome-scale metabolic modeling and simulation of rumen methanogens An in silico attempt to methane attenuation”</p>

<p>Funding Agency: University Grants Commission, New Delhi</p>

<p>Tenure of the project: Two years or till the end of the project period.</p>

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

<p>Essential qualification: First class M.Sc. in Bioinformatics/Microbiology/ Biotechnology and other related discipline.</p>

<p>Desirable qualification: Experience in an area relevant (Molecular Systems Engineering) to the project.</p>

<p>Fellowship: Rs. 5000 per month as per the UGC norms.</p>

<p>Upper age limit: 28 years</p>

<p>Date of Venue of interview: 22.01.2015, Department of Bioinformatics, School of Life Sciences, Bharathidasan University, Tiruchirappalli -620 024, Tamil Nadu</p>

<p>The above post is purely temporary and will be terminated with three month notice.</p>

<p>The Terms and the condition of the appointment shall be governed according to UGC, Govt. of India. The eligible candidates will bring their original certificates and documents at the time of interview. No TA/DA will be paid for attending the interview.</p>

<p>Dr. P. CHELLAPANDI<br />UGC-Research Awardee,<br />Department of Bioinformatics,<br />School of Life Sciences,<br />Bharathidasan University,<br />Tiruchirappalli -620 024, Tamil Nadu</p>

<p>Advertisement: www.bdu.ac.in/adv/PA_UGC_Bioinformatics.pdf</p>
]]></description>
</item>
<item>
	<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/news/view/20440/linux-operating-system-aimed-at-scientists</guid>
	<pubDate>Mon, 19 Jan 2015 08:30:49 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/20440/linux-operating-system-aimed-at-scientists</link>
	<title><![CDATA[Linux operating system aimed at scientists]]></title>
	<description><![CDATA[<p>The Bio-Linux operating system is based on Ubuntu 14.04 LTS (Trusty Tahr), and the previous version was using Ubuntu 12.04 LTS. The developers only use LTS releases and that means that upgrades for this distro don't come along all that often.<br /> <br /> This Linux distribution is aimed at scientists and it comes with more than 250 bioinformatics packages, 50 graphical applications and several hundred command line tools. And this is just skimming the surface of what the OS can do. Users have access to even more apps from the official repositories.</p><h3>Bio-Linux is using an Ubuntu LTS version as its base</h3><p>The fact that it uses Ubuntu LTS versions for the base is a good thing because it means its users won't have to worry about the support. Ubuntu 14.04 LTS is supported until 2019, so people who are using Bio-Linux shouldn't have a problem.<br /> <br /> "An updated Bio-Linux 8 version is now on the website in ISO and OVA versions. As usual, there is no need to download this version if you are an existing user. All updates to existing packages will be applied to your system through the update manager and new packages are all available via apt-get or Synaptic," reads the <a href="http://nebclists.nerc.ac.uk/pipermail/bio-linux-announce/2015-January/000020.html" target="_blank">announcement</a>.<br /> <br /> The changelog also states that a problem that was preventing the desktop to not start on VirtualBox has been fixed, the QIIME and Bowtie-Bio tools have been upgraded, the pandaseq paired end assembler has been added, and the beginners tutorial specific to Bio-Linux 8 has been improved.<br /> <br /> Check out the official announcement for a complete list of changes and updates. You can <a href="http://linux.softpedia.com/get/System/Operating-Systems/Linux-Distributions/Bio-Linux-45495.shtml" target="_blank"><strong>download Bio-Linux 8.0.5</strong></a> right now from Softpedia and give it a spin. It has the Unity desktop and now it runs very well in virtual environments.</p><p>Reference @ http://news.softpedia.com/news/Bioinformatics-Distro-Bio-Linux-8-0-5-Now-Available-for-Download-469867.shtml</p>]]></description>
	<dc:creator>Pranjali Yadav</dc:creator>
</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>
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	<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/opportunity/view/20958/ra-bioinformatics-at-ciba</guid>
  <pubDate>Mon, 02 Feb 2015 22:52:50 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at CIBA]]></title>
  <description><![CDATA[
<p>The following posts are to be filled purely on temporary basis under CIBA Component of “Centre for Agricultural Bioinformatics (CABin)” project at this Institute.</p>

<p>Research Associate – one post</p>

<p>Date &amp; Time of Interview 18th Feb 2015 at 10.00 a.m.</p>

<p>Essential Qualification Ph.d / M.Sc./ M.Phil (Bioinformatics) With 1st division or 60% marks or equivalent overall grade point average with at least two years of research experience in the relevant subject.</p>

<p>Desirable qualification: Experience in Java/ C++/ PHP/ PERL/ Python etc. based application development using Linux, Apache and MySQL/Oracle.</p>

<p>Emoluments Rs.24000/- p.m. + 30% HRA for Ph.D holders / Rs.23000/- p.m. + 30% HRA for Master Degree holders A consolidated pay Rs.25000/- per month.</p>

<p>Age Limit Maximum 40 years for men and 45 years for women as on date of interview. Age limits are relaxable for SC / ST / OBC candidates as per rules. Maximum 40 years for men and 45 years for women as on date of interview. Age limits are relaxable for SC / ST / OBC candidates as per rules.</p>

<p>Eligible Candidates may appear for the Walk-in-interview with original Certificate of Ph.D. / Master’s / relevant degree, passport size photograph and bio-data enclosing attested copies of educational qualification &amp; experience certificates. TA / DA will not be paid for attending the interview.</p>

<p>Advertisement: www.ciba.res.in/attachments/jobs/CABin-3006.pdf</p>
]]></description>
</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/20957/jrf-in-bioinformatics-tezpur-university</guid>
  <pubDate>Mon, 02 Feb 2015 22:50:14 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF in Bioinformatics @ Tezpur University]]></title>
  <description><![CDATA[
<p>Applications are invited for one temporary position of Junior Research Fellow (JRF) in the DBT Twinning Project entitled ‘In-Silico design and evaluation of sequences for γD crystalline protein’ under the Principal Investigator Dr. Anupam Nath Jha, Assistant Professor, Department of Molecular Biology and Biotechnology, Tezpur University.</p>

<p>Educational Qualification: Candidate must possess a M.Sc. in Bioinformatics/ Biotechnology/ Computer Science/ Physics/ Chemistry or B.Tech. or M.Tech. in Bioinformatics/ Biotechnology/ Computer Science from a recognized University/ Institute with minimum 60% marks or equivalent CGPA for general category and for SC/ST/OBC relaxation will be given as per Govt. of India rules.</p>

<p>Fellowship: Rs 16,000/- (Rupees sixteen thousand) only + 10% HRA per month for NET/GATE/BET/BINC qualified candidates. Rs. 12,000/- (Rupees twelve thousand) only + 10% HRA per month for other candidates.</p>

<p>Duration: Initially for a period of six (06) months which may be extended depending upon status of the project or until further order, whichever is earlier.</p>

<p>Age: Candidate should not be more than 28 years of age on the date of interview. Upper age limit may be relaxed up to 5 years in the case of candidate belonging to SC/ ST /OBC /Women / Physically Challenged.</p>

<p>Interested candidates may send their application on plain paper by post along with his/her educational qualifications, recent passport/stamp size photograph and contact phone number to Dr. Anupam Nath Jha, Principal Investigator, Department of Molecular Biology and Biotechnology, Tezpur University, Napaam – 784028 or mail it to anjha@tezu.ernet.in within 20 days of publication of this advertisement.</p>

<p>Only shortlisted candidates will be informed by e-mail or phone for an interview. N.B. No TA/DA will be paid for attending the interview. For further details contact: Dr. Anupam Nath Jha, Assistant Professor, Principal Investigator Department of Molecular Biology &amp; Biotechnology Tezpur University, Napaam, Tezpur-784028 (Assam)</p>

<p>Advertisement: www.tezu.ernet.in/ProjectWalkin/Advt-ANJ-5323-A.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40604/gapfinisher-a-reliable-gap-filling-pipeline-for-sspace-longread-scaffolder-output</guid>
	<pubDate>Fri, 24 Jan 2020 06:04:40 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40604/gapfinisher-a-reliable-gap-filling-pipeline-for-sspace-longread-scaffolder-output</link>
	<title><![CDATA[gapFinisher: A reliable gap filling pipeline for SSPACE-LongRead scaffolder output]]></title>
	<description><![CDATA[<p><span>gapFinisher is based on the controlled use of a previously published gap filling tool FGAP and works on all standard Linux/UNIX command lines. They compare the performance of gapFinisher against two other published gap filling tools PBJelly and GMcloser. </span></p>
<p><span>gapFinisher can fill gaps in draft genomes quickly and reliably.</span></p><p>Address of the bookmark: <a href="https://github.com/kammoji/gapFinisher" rel="nofollow">https://github.com/kammoji/gapFinisher</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21453/ra-research-associate-bioinformaticscomputational-biologist</guid>
  <pubDate>Thu, 26 Feb 2015 03:44:24 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA / Research Associate Bioinformatics/Computational Biologist]]></title>
  <description><![CDATA[
<p>The following posts are urgently required to be filled for the Department of Biotechnology, Government of India funded project entitled "Computational Core for Plant Metabolomics" administrated by Prof Indira Ghosh, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110 067 </p>

<p>RA / Research Associate (Bioinformatics/Computational Biologist) <br />Salary: Rs. 23000/- + HRA <br />Vacancy: 1 <br />Essential Qualifications: PhD, preferably in plant biotechnology/biochemistry/Bioinformatics with experience in analyzing high throughput omics-based data. Desired Skills: Prior experience in handling and guiding bioinformatics, metabolomics data, managing the project portal, preparing and filing reports etc. Will be expected to communicate with user groups and coordinate with LIMS group in Hyderabad and the Cheminformatics group in Delhi.</p>

<p>Address:	Prof Indira Ghosh, room #12 Project Investigator, (Core Metabolomics) School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110 067.</p>

<p>Apply Details	<br />Last Date: March 3rd 2015 <br />Web/Notification URL	http://www.jnu.ac.in/Career/currentjobs. htm</p>
]]></description>
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