<?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/30744?offset=480</link>
	<atom:link href="https://bioinformaticsonline.com/related/30744?offset=480" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28141/csbb-v10</guid>
	<pubDate>Wed, 29 Jun 2016 07:33:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28141/csbb-v10</link>
	<title><![CDATA[CSBB-v1.0]]></title>
	<description><![CDATA[<p>CSBB is a command line based bioinformatics suite to analyze biological data acquired through varied avenues of biological experiments. CSBB is implemented in Perl, while it also leverages the use of R and python in background for specific modules. Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux, UNIX, MAC OS and Windows platforms.</p>
<p>Currently CSBB provides 13 modules focused on analytical tasks like performing upper-quantile normalization on expression data or convert genome wide gene expression to z-scores when comparing expression data from different platforms.</p>
<p>More at&nbsp;https://github.com/skygenomics/CSBB-v1.0</p><p>Address of the bookmark: <a href="https://github.com/skygenomics/CSBB-v1.0" rel="nofollow">https://github.com/skygenomics/CSBB-v1.0</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28286/nipgr-hires-research-associate-jrf-laboratory-assistant</guid>
  <pubDate>Mon, 04 Jul 2016 20:12:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[NIPGR Hires Research Associate, JRF, Laboratory Assistant]]></title>
  <description><![CDATA[
<p>National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg - Delhi, Delhi <br />₹15,000 a month<br />National Institute of Plant Genome Research (NIPGR) invites applications to recruit on vacant posts of Research Associate (RA), Junior Research Fellow (JRF) and Laboratory Assistant. Applications against these Sarkari Naukri can be submitted on or before 16 July 2016. <br />NIPGR Vacancy 2016 Details <br />1. Research Associate (RA) <br />Qualification: Ph.D. degree (awarded) in Molecular Biology/Biotechnolgy/Biochemistry/Plant Science/ Life Sciences/Bioinformatics or related field with 03 years post-doctoral research experience or 02 research papers in the journals of International repute are eligible to apply. Experience in the area of functional genomics, proteomics, metabolomics, multiomics and system biology will be preferred. <br />Age Limit: As Per Rules <br />2. Junior Research Fellow (JRF) <br />Qualification: M.Sc. degree or equivalent in Biotechnolgy/Biochemistry/Plant Science or Botany/ Life Sciences/Bioinformatics/ Molecular Biology or any other related field. Experience in advanced multiomics, big data analysis, molecular and system biology techniques will be given preference. <br />Age Limit: As Per Rules <br />3. Laboratory Assistant <br />Qualification: B.Sc. degree with 05 years working experience in government R&amp;D Laboratory assisting in the field of molecular biology and genomis. <br />Pay Scale: Rs.15000/- Per Month <br />Age Limit: As Per Rules <br />How to Apply : Duly filled-in applications in prescribed application format along with copies of required documents should be reach to: Dr. Subhra Chakraborty, Staff Scientist-VII, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, P.O. Box NO. 10531, New Delhi – 110067 . The Last Date to submit application is 16 July 2016</p>

<p>Source: http://www.nipgr.res.in/careers/vacancies_latest.php#<br />Form at http://www.nipgr.res.in/files/careers/format_RA_JRF_LA.doc</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28417/wisescaffolder</guid>
	<pubDate>Wed, 13 Jul 2016 08:08:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28417/wisescaffolder</link>
	<title><![CDATA[WiseScaffolder]]></title>
	<description><![CDATA[<p>Function</p>
<p>WiseScaffolder is a stand-alone semi-automatic application for genome scaffolding of pre-assembled contigs using mate-pair data. It also produces editable scaffold maps, allowing either to build gapped scaffolds or usable as a common thread for the manual improvement of scaffolds.</p>
<p>Description&nbsp;</p>
<p>WiseScaffolder includes 4 subcommands: dumpconfig generates a configuration file that notably specifies the average insert size of the mate-pair library preprocess allows the detection and correction of chimerae, the estimation of contigs copy number and produces valuable outputs for the manual improvement of scaffolds scaffold constitutes the central scaffold-builder and comprises two modules:</p>
<p>i) the interative_scaffold_extender, which works with big, unambiguous contigs, or when they run out, single copy contigs, and</p>
<p>ii) the small_contig_inserter, which inserts the small contigs within scaffolds buildfasta converts the scaffold(s) map(s) into Fasta sequences.</p><p>Address of the bookmark: <a href="http://abims.sb-roscoff.fr/wisescaffolder" rel="nofollow">http://abims.sb-roscoff.fr/wisescaffolder</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28547/jrf-bioinformatics-at-iit-delhi</guid>
  <pubDate>Mon, 25 Jul 2016 03:26:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics at IIT, Delhi]]></title>
  <description><![CDATA[
<p>No. IITD/IRD/RP03017/4254/Advertisement No.: IITD/IRD/093/2016<br />JRF Bioinformatics  job vacancies in Indian Institute of Technology Delhi (IIT Delhi)<br />Title : Elucidation of Pathologically Relevant miRNAs Responsible for Disease Progression and Resistance to Chemotherapy in Chronic Lymphocytic Leukemia (CLL) (RP03017)<br />Qualification : Candidates having first class B. Tech. / M.Sc. Degree or equivalent in Bioinformatics or Biotechnology with NET qualification. Desirable: Candidates having computer programming skills (C++, Python, Java, Web designing using Materialize frameworks, database management, offline software GUI development) with knowledge of Linux server environment and / or experience in next generation sequencing (NGS) data analysis, MD simulations will be preferred.<br />No. of Post : 01<br />Pay Scale : Rs.25,000/-<br />How to apply<br />Walk-in test / interview will be held on 04/08/2016, 03.00 p.m. at Committee Room No. 230, Block-I, Department of Biochemical Engineering &amp; Biotechnology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi-110016.</p>

<p>More at http://ird.iitd.ac.in/sites/default/files/jobs/project/IITD-IRD-093-2016.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28566/emboss-apps</guid>
	<pubDate>Wed, 27 Jul 2016 06:00:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28566/emboss-apps</link>
	<title><![CDATA[EMBOSS Apps]]></title>
	<description><![CDATA[<p>The programs are listed in alphabetical order, Look at the individual applications or go to the&nbsp;<a href="http://emboss.sourceforge.net/apps/release/6.6/emboss/apps/groups.html">GROUPS</a>&nbsp;page to search by category.</p>
<p><a href="http://emboss.sourceforge.net/apps/release/6.6/embassy/index.html">EMBASSY applications</a>&nbsp;are described in separate documentation for each package.</p>
<h3><a name="current" id="current"></a>Applications&nbsp;in the&nbsp;<a href="ftp://emboss.open-bio.org/pub/EMBOSS/">current release</a></h3><p>Address of the bookmark: <a href="http://emboss.sourceforge.net/apps/release/6.6/emboss/apps/" rel="nofollow">http://emboss.sourceforge.net/apps/release/6.6/emboss/apps/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28602/srf-and-jrf-bioinformatics-at-tezpur-university-napaam</guid>
  <pubDate>Wed, 03 Aug 2016 03:47:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF and JRF Bioinformatics at Tezpur University, Napaam]]></title>
  <description><![CDATA[
<p>Applications are invited for the following temporary positions unde MHRD sponsored Centre of Excellence<br />in the Department of Computer Science and Engineering (CSE), Tezpur University<br /> <br />Qualification<br />and Experience : Senior Research Fellow (SRF) and JRF : First Class in M.E/M.Tech in CSE/IT/ECE with research<br />experience in relevant fields of research (Candidates having valid GATE/NET Score would be preferred).</p>

<p> <br />Fellowship: Rs. 18,000/- per month (fixed)<br /> <br />Duration : 2 (Two) years and may be extended<br />depending on status of the project<br /> <br />Age Limit: Candidates should not be more than 32 years of<br />age in case of SRF and 28 years of age in case of JRF and TA. Upper age limit may be relaxed up to 5<br />years in the case of candidate belonging to SC/ ST/ OBC/ Women/ Differently abled.<br /> <br />How to Apply:<br />Interested candidates may send their application on plain paper by post along with his/her educational<br />qualifications, research experience certificates (for SRF), 02 copies of recent passport/stamp size photographs<br />and contact phone number to Professor D.K Bhattacharyya, Principal Investigator, Department of Computer<br />Science &amp; Engineering, Tezpur University, Napaam – 784 028, or mail it to dkb@tezu.ernet.in<br />(or to smh@tezu.ernet.in) within 15 days of publication of this advertisement.<br /> <br />No TA/DA shall<br />be paid for attending the interview.<br /> <br />For more details: http://www.tezu.ernet.in/ProjectWalkin/Advt-DoRD-CSE-DKB-20-225-6779-A.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31100/vaguevelvet-assembler-graphical-front-end</guid>
	<pubDate>Fri, 24 Feb 2017 08:56:49 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31100/vaguevelvet-assembler-graphical-front-end</link>
	<title><![CDATA[VAGUE:Velvet Assembler Graphical Front End]]></title>
	<description><![CDATA[<p>VAGUE is a vague acronym for "Velvet Assembler Graphical Front End", which means it is a GUI for the Velvet <em>de novo</em> assembler. The command line version of Velvet can be complicated for beginners to use, but VAGUE makes it clear and simple</p>
<p>More at&nbsp;http://www.vicbioinformatics.com/software.vague.shtml</p><p>Address of the bookmark: <a href="http://www.vicbioinformatics.com/software.vague.shtml" rel="nofollow">http://www.vicbioinformatics.com/software.vague.shtml</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28805/bambus</guid>
	<pubDate>Tue, 16 Aug 2016 08:09:15 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28805/bambus</link>
	<title><![CDATA[Bambus]]></title>
	<description><![CDATA[<div>
<div>
<div>
<p>Bambus 2.0, the second generation Bambus scaffolder available as an open source package. While most other scaffolders are closely tied to a specific assembly program, Bambus accepts the output from most current assemblers and provides the user with great flexibility in choosing the scaffolding parameters. In particular, Bambus is able to accept contig linking data other than specified by mate-pairs. Such sources of information include alignment to a reference genome (Bambus can directly use the output of MUMmer), physical mapping data, or information about gene synteny.</p>
</div>
</div>
</div>
<div>
<div>Home Page:&nbsp;</div>
<div>
<div><a href="http://sourceforge.net/apps/mediawiki/amos/index.php?title=Bambus2">http://sourceforge.net/apps/mediawiki/amos/index.php?title=Bambus2</a></div>
</div>
</div><p>Address of the bookmark: <a href="https://www.cbcb.umd.edu/software/bambus2" rel="nofollow">https://www.cbcb.umd.edu/software/bambus2</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28829/jrf-bioinformatics-at-manit-india</guid>
  <pubDate>Thu, 18 Aug 2016 02:48:53 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics at MANIT, India]]></title>
  <description><![CDATA[
<p>Advt. No.: Maths./577/2016 Date: 12/08/2016<br />JRF Bioinformatics Job Position in Maulana Azad National Institute of Technology (MANIT) purely temporary basis<br />Project Title : “Computational Approach to Study Complex Biological Network of Diseases using Molecular Data”<br />Essential Qualifications &amp; experience: M.Tech in Bioinformatics/ Computational System biology/Computer Science or M.Sc. in Bio informatics/Biotechnology/Mathematics/Statistics from recognized University/ Institute. Preference will be given to GATE/NET qualified candidates.<br />No. of Post : 01<br />Fellowship: INR 12000<br /> <br />How to apply<br />The duly completed application on prescribed format along with copies of supporting documents must reach to: office of the Dr. Usha Chouhan, Principal Investigator, Department of Mathematics, Bioinformatics &amp; Computer Applications, Maulana Azad National Institute of Technology, Bhopal-462003 on or before 31/08/2016. A soft copy of the application should also be sent to ycchouhan@gmail.com  email address of Principal Investigator.</p>

<p>More at http://www.web.manit.ac.in/Year%202016/JRF/walk%20in.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28855/vcfr</guid>
	<pubDate>Fri, 19 Aug 2016 07:38:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28855/vcfr</link>
	<title><![CDATA[vcfR]]></title>
	<description><![CDATA[<p><span>Most variant calling pipelines result in files containing large quantities of variant information. The&nbsp;</span><a href="http://samtools.github.io/hts-specs/" title="VCF format at hts-specs">variant call format (vcf)</a><span>&nbsp;is an increasingly popular format for this data. The format of these files and their content is discussed in the vignette &lsquo;vcf data.&rsquo; These files are typically intended to be post-processed (i.e., filtered) as an attempt to remove false positives or otherwise problematic sites. The R package vcfR provides tools to facilitate this filtering as well as to visualize the effects of choices made during this process.</span></p><p>Address of the bookmark: <a href="https://cran.r-project.org/web/packages/vcfR/vignettes/visualization_1.html" rel="nofollow">https://cran.r-project.org/web/packages/vcfR/vignettes/visualization_1.html</a></p>]]></description>
	<dc:creator>Archana Malhotra</dc:creator>
</item>

</channel>
</rss>