<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/29384?offset=1000</link>
	<atom:link href="https://bioinformaticsonline.com/related/29384?offset=1000" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/21703/coding-ground</guid>
	<pubDate>Tue, 17 Mar 2015 00:47:20 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/21703/coding-ground</link>
	<title><![CDATA[Coding Ground]]></title>
	<description><![CDATA[<p>Online coding group for most of the programming languages.</p>
<p>Code in almost all popular languages using Coding Ground.&nbsp;Edit, compile, execute and share your projects, 100% cloud.</p>
<p>http://www.tutorialspoint.com/codingground.htm</p><p>Address of the bookmark: <a href="http://www.tutorialspoint.com/codingground.htm" rel="nofollow">http://www.tutorialspoint.com/codingground.htm</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36456/alpaca-a-hybrid-strategy-for-assembly-of-genomic-dna-shotgun-sequencing-reads</guid>
	<pubDate>Mon, 30 Apr 2018 04:38:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36456/alpaca-a-hybrid-strategy-for-assembly-of-genomic-dna-shotgun-sequencing-reads</link>
	<title><![CDATA[ALPACA: A hybrid strategy for assembly of genomic DNA shotgun sequencing reads.]]></title>
	<description><![CDATA[<p><span>ALPACA requires Celera Assembler 8.3 or later. It is recommended to build Celera Assembler from source. (Why? The pre-built binaries CA_8.3rc1 and CA8.3rc2 will work for any large data set.&nbsp;</span></p>
<p><span>Detail paper at&nbsp;https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-017-3927-8</span></p><p>Address of the bookmark: <a href="https://github.com/VicugnaPacos/ALPACA" rel="nofollow">https://github.com/VicugnaPacos/ALPACA</a></p>]]></description>
	<dc:creator>Seema Singh</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21851/bioinformatics-project-assistant-at-nitw</guid>
  <pubDate>Wed, 01 Apr 2015 01:43:27 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Project Assistant at NITW]]></title>
  <description><![CDATA[
<p>NATIONAL INSTITUTE OF TECHNOLOGY WARANGAL – 506 004</p>

<p>DEPARTMENT OF BIOTECHNOLOGY</p>

<p>No. NITW/Bio/ Date: 30th March 2015</p>

<p>ADVERTISEMENT FOR PROJECT FELLOW (Research Staff)</p>

<p>Applications are invited for the post of Project Fellow (Research Staff) for the project entitled ‘Metagenome derived nitroreductases for degradation of nitro compounds’ sponsored by the Department of Science and Technology (DST-INSPIRE), Govt. of India.</p>

<p>Position: Project Fellow (1 No.)</p>

<p>Project Duration: 5 years</p>

<p>Note: The post is purely on temporary basis for a period one year and may be extendable till the end of the project based on the progress of the candidate.</p>

<p>Emoluments: Rs. 14,000/- per month (Consolidated) for first two years and Rs. 16,000/- per month (Consolidated) for next three years.</p>

<p>Essential Qualifications:</p>

<p>i) First class in M.Tech/M.S (Biotechnology/Industrial Biotechnology/Bioinformatics) or equivalent. Or</p>

<p>ii) First class in M.Sc. (Biotechnology/Bioinformatics/Biochemistry/ Microbiology/Molecular biology).</p>

<p>Desirable Qualification: Preference will be given to candidates who have cleared NET/GATE or having prior work experience in Molecular biology/Bioinformatics sequence analysis.</p>

<p>Interested candidates may submit their application in plain paper along with Curriculum Vitae and photocopies of certificates in support of educational/professional qualifications. Application should be sent in a closed cover with a superscription on the cover “Application for the post of project fellow (DST-INSPIRE)” on or before 20.04.2015 (Monday) via Post to the Principal Investigator. Eligible candidates will be intimated through e-mail and called for interview at the Department of Biotechnology, NIT, Warangal. No TA/DA will be paid for attending the interview. Dr. K. Divakar (Principal Investigator) DST-INSPIRE Faculty Department of Biotechnology National Institute of Technology Warangal – 506 004. Telangana, India. E-mail: divakar@nitw.ac.in; kdivak@gmail.com</p>

<p>Advertisement: http://www.nitw.ac.in/nitw/announcements/2015/Notification_Project_Fellow_DST_INSPIRE_Biotechnology_NITW.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/36630/frequent-paired-end-reads-pe-2x100-mapping-command-lines</guid>
	<pubDate>Tue, 15 May 2018 08:59:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/36630/frequent-paired-end-reads-pe-2x100-mapping-command-lines</link>
	<title><![CDATA[Frequent Paired-end reads (PE 2x100) mapping command lines]]></title>
	<description><![CDATA[
<p>bowtie2 -x hs37m -X 650 -q -1 r1.fq -2 r2.fq -S r12.bowtie2.sam  </p>

<p>bwa aln hs37m.fa r1.fq &gt; r1.sai &amp;&amp; bwa aln hs37m.fa r2.fq &gt; r2.sai \  <br />    &amp;&amp; bwa sampe hs37m r1.sai r2.sai r1.fq r2.fq &gt; r12.bwa.sam  </p>

<p>bwa bwasw ../index/bwa/hs37m.fa r12.fq &gt; r12.bwasw.sam  </p>

<p>gsnap -A sam -d hs37m r1.fq r2.fq &gt; r12.gsnap.sam  </p>

<p>novoalign -r Random -o SAM -f r1.fq r2.fq -i 500 50 -d hs37m-k14s3.novo &gt; r12.novo.sam  </p>

<p>smalt map -f samsoft -i 650 -o r12.smalt-k20s13.sam hs37m-k20s13 r1.fq r2.fq  </p>

<p>stampy.py -g hs37m -h hs37m -o r12.stampy.sam -M r1.fq,r2.fq  </p>

<p>soap -D hs37m.fa.index -a r1.fq -b r2.fq -l 32 -g 3 -u dummy -2 dummy -o r12.soap</p>
]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21930/bioinformatics-ra-at-ivri</guid>
  <pubDate>Tue, 07 Apr 2015 03:10:53 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics RA at IVRI]]></title>
  <description><![CDATA[
<p>A walk in interview is scheduled in the seminar hall of Veterinary Biotechnology Division of the institute on 9.04.15 at 10.30 am for the engagement of one Research associate (RA) in ICAR funded time bound project entitled “Centre for Agricultural bioinformatics (CABin)”.</p>

<p>The engagement is purely temporary on contractual basis and co-terminus with the project. There will be no provision of absorption of absorption/reemployment in IVRI/DBT on termination of the project.</p>

<p>No TA/DA will be provided for appearing in the interview and no separate letter will be issued.</p>

<p>A. Name tile of the project: “Centre for Agricultural bioinformatics (CABin)”.</p>

<p>B. Position/post to be filled: Research Associate (one)</p>

<p>C. Essential/Desirable qualifications:</p>

<p>•Essential: M.V.Sc./M.Tech./MSc Degree in Biotechnology/ Biochemistry/ Microbiology/Immunology/Bioinformatics/Genetics/Life Sciences or</p>

<p>Masters in Computer Application/ Masters in Computer science with first division.</p>

<p>• Desirable: Experience in cell culture, next generation sequencing, C++ and perl programming. NET/GATE qualified will be preferred.</p>

<p>• Experience : At least 2 years</p>

<p>D. Emoluments: Rs. 23000/- per month + 20% HRA</p>

<p>E. Age Limit: Maximum 40 years for men and 45 years for women</p>

<p>F. Duration of the project: Up to March 2017</p>

<p>G. Name of PI/Contact person: Dr. G.V.P.P.S. Ravi Kumar, Sr. Scientist, Division of Veterinary Biotechnology.</p>

<p>H. Address for correspondence: Dr. G.V.P.P.S. Ravi Kumar, Sr. Scientist, Computational Biology and Genomics facility,Division of Veterinary Biotechnology, I.V.R.I., Izatnagar – 243122</p>

<p>Advertisement: www.ivri.nic.in/jobs/WalkIn_interview_01042015.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36867/cerulean-a-hybrid-assembly-using-high-throughput-short-and-long-reads</guid>
	<pubDate>Tue, 05 Jun 2018 10:10:15 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36867/cerulean-a-hybrid-assembly-using-high-throughput-short-and-long-reads</link>
	<title><![CDATA[Cerulean: A hybrid assembly using high throughput short and long reads]]></title>
	<description><![CDATA[Cerulean extends contigs assembled using short read datasets like Illumina paired-end reads using long reads like PacBio RS long reads.

Cerulean v0.1 has been implemented with bacterial genomes in mind.

The method is fully described in Deshpande, V., Fung, E. D., Pham, S., &amp; Bafna, V. (2013). Cerulean: A hybrid assembly using high throughput short and long reads. arXiv preprint arXiv:1307.7933.
http://arxiv.org/abs/1307.7933<p>Address of the bookmark: <a href="https://sourceforge.net/projects/ceruleanassembler/" rel="nofollow">https://sourceforge.net/projects/ceruleanassembler/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22066/jrf-bioinformatics-national-institute-of-immunology-new-delhi-110067</guid>
  <pubDate>Fri, 17 Apr 2015 02:39:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics @ NATIONAL INSTITUTE OF IMMUNOLOGY  NEW DELHI-110067]]></title>
  <description><![CDATA[
<p>Applications are invited for the position of Junior Research Fellow (Project)/Senior Research Fellow (Project) for the following time-bound sponsored project as per the details given below:</p>

<p>1. “Development of bioinformatics methods for identifying novel secondary metabolites by genome mining” funded by DBT</p>

<p>JRF (P)/SRF (P) (One Position only)</p>

<p>Dr. Debasisa Mohanty Staff Scientist-VI deb@nii.res.in</p>

<p>Educational Qualifications: JRF (Project): M.Sc (Bioinformatics/ Biophysics/Biotechnology or any other stream of biological/physical sciences) or M.Tech. (Bioinformatics/Biotechnology/Computational Sciences) of M. Pharm.</p>

<p>SRF (Project): M.Sc (Bioinformatics/Biophysics/Biotechnology or any other stream of biological/physical sciences) or M.Tech. (Bioinformatics/Biotechnology/Computational Sciences) of M. Pharm with atleast 03 years of research experience.</p>

<p>Desirable Qualifications: Strong computer programming skills (in PERL/CGI/PHP or C++ or object oriented database management systems like MySQL etc or scripting languages under LINUX/UNIX environment) and sufficient experience in computational analysis of biological/biochemical data.</p>

<p>The candidates must highlight their experience in programming and database development in their CV. Job description: Computational analysis of genomes and development of bioinformatics tools and software’s for sequence and structure based analysis of biosynthetic pathways.</p>

<p>Emoluments: The selected candidates will draw consolidated emoluments as per Institute Rules, depending upon qualifications &amp; experience JRF (Project): Rs. 12,000/- per month plus 30% HRA SRF (Project): Rs. 14,000/- per month plus 30% HRA (*Candidates possessing qualifications as per latest DST OM, will be given revised scales). </p>

<p>More at http://www1.nii.res.in/sites/default/files/projectappointments-Dr.DebasisaMohanty-30April2015.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37554/finishersca-repeat-aware-tool-for-upgrading-de-novo-assembly-using-long-reads</guid>
	<pubDate>Mon, 20 Aug 2018 04:08:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37554/finishersca-repeat-aware-tool-for-upgrading-de-novo-assembly-using-long-reads</link>
	<title><![CDATA[FinisherSC:a repeat-aware tool for upgrading de novo assembly using long reads]]></title>
	<description><![CDATA[<p><br>Here is the command to run the tool:</p>
<pre><code>python finisherSC.py destinedFolder mummerPath
</code></pre>
<p>If you are running on server computer and would like to use multiple threads, then the following commands can generate 20 threads to run FinisherSC.</p>
<pre><code>python finisherSC.py -par 20 destinedFolder mummerPath
</code></pre>
<p>Sometimes, if the names of raw reads and contigs consists of special characters/formats, FinisherSC/MUMmer may not parse them correctly. In that case, you want to have a quick renaming of the names of contigs/reads in contigs.fasta or raw_reads.fasta using the following command.</p>
<pre><code>    perl -pe 's/&gt;[^\$]*$/"&gt;Seg" . ++$n ."\n"/ge' raw_reads.fasta &gt; newRaw_reads.fasta
    cp newRaw_reads.fasta raw_reads.fasta
    perl -pe 's/&gt;[^\$]*$/"&gt;Seg" . ++$n ."\n"/ge' contigs.fasta &gt; newContigs.fasta
    cp newContigs.fasta contigs.fasta</code></pre><p>Address of the bookmark: <a href="https://github.com/kakitone/finishingTool" rel="nofollow">https://github.com/kakitone/finishingTool</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22026/igib-recruitment-2015-%E2%80%93-project-scientist</guid>
  <pubDate>Tue, 14 Apr 2015 12:19:59 -0500</pubDate>
  <link></link>
  <title><![CDATA[IGIB Recruitment 2015 – Project Scientist]]></title>
  <description><![CDATA[
<p>IGIB Recruitment 2015 – Project Scientist &amp; SPF Posts: CSIR – Institute of Genomics &amp; Integrative Biology (IGIB) has issued notification for the recruitment of Project Scientist, Sr Project Fellow vacancies on temporary basis for project entitled “Setting up of CSIR(unit)-TRISUTRA (Translational research and Innovative Science through Ayurgenomics)”. Eligible candidates may apply in prescribed application format on or before 23-04-2015. Other details like age limit, educational qualification, selection process &amp; how to apply are given below…</p>

<p>IGIB Vacancy Details:<br />Total No. of Posts: 04<br />Name of the Posts:<br />1. Project Scientist (Biology): 02 Posts<br />2. Project Scientist (Bioinformatics): 01 Post<br />3. Sr Project Fellow (Ayurveda): 01 Post</p>

<p>Age Limit: Candidates age should be 35 years for post 1, 32 years for post 2</p>

<p>Educational Qualification: Candidates should have Ph.D/ Ph.D submitted in any branch of Biological Science/ Life Science for post 1, Ph.D/ Ph.D submitted in Bioinformatics for post 2, BAMS degree with one year internship for post 3.</p>

<p>Selection Process: Candidates will be selected based on their performance in interview.</p>

<p>How to Apply: Eligible candidates may send their application along with all relevant documents on or before 23-04-2015.</p>

<p>Important Dates:<br />Last Date for Receipt of Application for Post 1 &amp; 2: 23-04-2015.<br />Date of Interview for Post 3: 27-04-2015.</p>

<p>For other details like pay scale, age relaxation, educational qualification, selection process, how to apply, etc., click on the link given below…</p>

<p>http://www.freejobalert.com/wp-content/uploads/2015/03/Notification-IGIB-Project-Scientist-SPF-Posts.pdf</p>

<p>http://www.igib.res.in/sites/default/files/27042015.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37576/lrcstats-a-tool-for-evaluating-long-reads-correction-methods</guid>
	<pubDate>Wed, 22 Aug 2018 11:05:04 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37576/lrcstats-a-tool-for-evaluating-long-reads-correction-methods</link>
	<title><![CDATA[LRCstats: a tool for evaluating long reads correction methods]]></title>
	<description><![CDATA[<p><span>LRCstats is an open-source pipeline for benchmarking DNA long read correction algorithms for long reads outputted by third generation sequencing technology such as machines produced by Pacific Biosciences. The reads produced by third generation sequencing technology, as the name suggests, are longer in length than reads produced by next generation sequencing technologies, such as those produced by Illumina. However, long reads are plagued by high error rates, which can cause issues in downstream analysis. Long read correction algorithms reduce the error rate of long reads either through self-correcting methods or using accurate, short reads outputted by next generation sequencing technologies to correct long reads.</span></p><p>Address of the bookmark: <a href="https://github.com/cchauve/lrcstats" rel="nofollow">https://github.com/cchauve/lrcstats</a></p>]]></description>
	<dc:creator>Aaryan Lokwani</dc:creator>
</item>

</channel>
</rss>