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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28269?offset=1540</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36597/gappadder-a-sensitive-approach-for-closing-gaps-on-draft-genomes-with-short-sequence-reads</guid>
	<pubDate>Mon, 14 May 2018 05:25:48 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36597/gappadder-a-sensitive-approach-for-closing-gaps-on-draft-genomes-with-short-sequence-reads</link>
	<title><![CDATA[GAPPadder: A Sensitive Approach for Closing Gaps on Draft Genomes with Short Sequence Reads]]></title>
	<description><![CDATA[<p><span>This software is provided ``as is&rdquo; without warranty of any kind. In no event shall the author be held responsible for any damage resulting from the use of this software. The program package, including source codes, executables, and this documentation, is distributed free of charge. If you use this program in a publication, please cite the following reference:</span><br><span>Chong Chu, Xin Li, and Yufeng Wu. "GAPPadder: A Sensitive Approach for Closing Gaps on Draft Genomes with Short Sequence Reads." bioRxiv (2017): 125534.</span></p><p>Address of the bookmark: <a href="https://github.com/Reedwarbler/GAPPadder" rel="nofollow">https://github.com/Reedwarbler/GAPPadder</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21934/ra-bioinformatics-at-bose-institute</guid>
  <pubDate>Tue, 07 Apr 2015 03:30:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at Bose Institute]]></title>
  <description><![CDATA[
<p>Bose Institute, Kolkata, invites online applications from Indian Citizens for recruitment of Research Associate (05 posts) under Institute Plan Programmes : Improvement of Plants : Biotechnological, Genomic and Proteomic Approaches (programme No. – I), Bioinformatics and Computational Biology (programme No. – III), Microbial Genomics and Infection Biology (programme No. – V) and Basic &amp; Applied Problems in Physical and Environmental Sciences (programme No. – VII). All the posts are tenable for one (01) year.</p>

<p>ESSENTIAL QUALIFICATION: PH.D. DEGREE IN LIFE SCIENCES / PHYSICAL SCIENCE.</p>

<p>Research Associate for Programme No. –I Specialization in the area of plant molecular biology or plant proteomic study or plant pathogen interaction.<br />Research Associate for Programme No. –I Specialization in the area of plant / fungal Biotechnology, tissue culture and molecular biology<br />Research Associate for Programme No. –III Specialization in the area of structural biology and protein crystallography.<br />Research Associate for Programme No. – V Specialization in the area of microbial physiology (metabolism) or environmental microbiology, with experience in microbial genomics and proteomics.<br />Research Associate for Programme No. – VII Specialization in the area of Theoretical High Energy Astrophysics or Astroparticle Physics. Proven record of independent research experience in Astrophysical<br />Radiation Magnetohydrodynamics or Cosmic Ray Astrophysics. Experience in numerical techniques and /or date analysis would be additional advantage.<br />Associateship : 22,000/- p.m., plus admissible H.R.A. and Medical benefit.<br />Age: Below 3 Age : Below 35 years (Relaxable in case of SC/ST/OBC/Women candidates only as per rule).<br />SELECTION PROCEDURE FOR BOSE INSTITUTE- RESEARCH ASSOCIATE POST:</p>

<p>Candidates can apply on or before 13/4/2015.<br />No detailed information about the selection procedure is mentioned in the recruitment notification.<br />HOW TO APPLY FOR RESEARCH ASSOCIATE VACANCY IN BOSE INSTITUTE:</p>

<p>Interested and eligible candidates may read the application procedures and instructions carefully before applying through online as well as submitting the hard copy of the same. Candidates those who has submitted their Ph.D. Thesis and can produce Provisional Ph.D. Certificate at the time of Interview may also apply </p>

<p>Ref<br />Bose Institute Recruitment 2015 –  ADVT. NO. : BI/IF/35/2014-15.</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36997/cgview-circular-genome-viewer</guid>
	<pubDate>Wed, 20 Jun 2018 10:15:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36997/cgview-circular-genome-viewer</link>
	<title><![CDATA[CGView - Circular Genome Viewer]]></title>
	<description><![CDATA[CGView is a Java package for generating high quality, zoomable maps of circular genomes. Its primary purpose is to serve as a component of sequence annotation pipelines, as a means of generating visual output suitable for the web. Feature information and rendering options are supplied to the program using an XML file, a tab delimited file, or an NCBI ptt file. CGView converts the input into a graphical map (PNG, JPG, or Scalable Vector Graphics format), complete with labels, a title, legends, and footnotes. In addition to the default full view map, the program can generate a series of hyperlinked maps showing expanded views. The linked maps can be explored using any web browser, allowing rapid genome browsing, and facilitating data sharing. The feature labels in maps can be hyperlinked to external resources, allowing CGView maps to be integrated with existing web site content or databases. For examples of the various output types, see the CGView gallery.

http://wishart.biology.ualberta.ca/cgview/gallery.html

http://stothard.afns.ualberta.ca/downloads/CCT/index.html

https://www.gview.ca/wiki/GView/WebHome

https://server.gview.ca/

http://stothard.afns.ualberta.ca/cgview_server/

Paper https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbx081/4037458<p>Address of the bookmark: <a href="http://wishart.biology.ualberta.ca/cgview/" rel="nofollow">http://wishart.biology.ualberta.ca/cgview/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/poll/view/21982/which-bioinformatics-journals-do-you-follow</guid>
	<pubDate>Fri, 10 Apr 2015 12:10:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/poll/view/21982/which-bioinformatics-journals-do-you-follow</link>
	<title><![CDATA[Which Bioinformatics Journals Do You Follow?]]></title>
	<description><![CDATA[<p><span><span>Which are your favorite bioinformatics journals? The ones that you check every month or so, or that you are subscribed to?</span></span></p>]]></description>
	<dc:creator>Tenzin Paul</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22028/walk-in-for-research-asst-programmer-enterovirus-research-centre-mumbai-india</guid>
  <pubDate>Tue, 14 Apr 2015 12:36:51 -0500</pubDate>
  <link></link>
  <title><![CDATA[Walk in for Research Asst &amp; Programmer Enterovirus Research Centre Mumbai - India]]></title>
  <description><![CDATA[
<p>Enterovirus Research Centre Mumbai Jobs 2015 –</p>

<p>Walk in for Research Asst &amp; Programmer Posts: Enterovirus Research Centre, Mumbai, Indian Council of Medical Research has issued notification for the recruitment of Research Asst &amp; Programmer vacancies on temporary basis for the project entitled “An Atlas of Non-Polio Enterovirus Types Isolated from Cases of Acute Flaccid Paralysis in India”. Eligible candidates may walk in on 20-04-2015 from 10:00 AM to 12:00 Noon. Other details like age limit, educational qualification, how to apply are given below…</p>

<p>Enterovirus Research Centre Mumbai Vacancy Details:<br />Total No. of Posts: 04<br />Name of the Posts:<br />1. Research Assistant: 03 Posts<br />2. Programmer: 01 Post</p>

<p>Age Limit: Candidates age should below 28 years. Age relaxations are applicable as per rules.</p>

<p>Educational Qualification: Candidates should have M.Sc (1st Class) in Microbiology/ Bioinformatics/ Biotechnology/ Life Science for post 1, BE/ B.Tech/ MCA for post 2.</p>

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

<p>How to Apply: Eligible candidates may attend for interview along with original certificates, CV, attested copies of relevant certificates, one recent passport size photograph duly affixed on right side of application at Enterovirus Research Centre, Mumbai, Indian Council of Medical Research, Haffkine Institute Cmpound, Acharya Donde Marg, Parel, Mumbai-400012 on 20-04-2015 from 10:00 AM to 12:00 Noon.</p>

<p>Important Dates:<br />Date &amp; Time of Interview: 20-04-2015 from 10:00 AM to 12:00 Noon.<br />Registration Time: 12:00 Noon.</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38215/pwhatshap-a-parallel-high-performance-version-of-whatshap</guid>
	<pubDate>Wed, 14 Nov 2018 08:20:27 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38215/pwhatshap-a-parallel-high-performance-version-of-whatshap</link>
	<title><![CDATA[pWhatsHap: a parallel, high-performance version of WhatsHap]]></title>
	<description><![CDATA[<div id="ASec4">
<p>Given the potential relevance of efficient haplotyping in several analysis pipelines, we have designed and engineered&nbsp;pWhatsHap, a parallel, high-performance version of&nbsp;WhatsHap.&nbsp;pWhatsHap&nbsp;is embedded in a toolkit developed in Python and supports genomics datasets in standard file formats. Building on&nbsp;WhatsHap,&nbsp;pWhatsHap&nbsp;exhibits the same complexity exploring a number of possible solutions which is exponential in the coverage of the dataset. The parallel implementation on multi-core architectures allows for a relevant reduction of the execution time for haplotyping, while the provided results enjoy the same high accuracy as that provided by&nbsp;WhatsHap, which increases with coverage.</p>
</div>
<p>https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1170-y</p><p>Address of the bookmark: <a href="https://bitbucket.org/whatshap/whatshap" rel="nofollow">https://bitbucket.org/whatshap/whatshap</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/22050/binc-sample-question-paper</guid>
	<pubDate>Thu, 16 Apr 2015 09:15:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/22050/binc-sample-question-paper</link>
	<title><![CDATA[BINC Sample Question Paper !!!]]></title>
	<description><![CDATA[<p>BINC sample question paper round THREE ...</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/22050" length="316" type="text/plain" />
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38515/genome-annotation-using-maker-tutorial</guid>
	<pubDate>Thu, 20 Dec 2018 17:39:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38515/genome-annotation-using-maker-tutorial</link>
	<title><![CDATA[Genome Annotation using MAKER tutorial !]]></title>
	<description><![CDATA[<p><a href="http://www.yandell-lab.org/software/maker.html">MAKER</a><span>&nbsp;is a great tool for annotating a reference genome using empirical and&nbsp;</span><em>ab initio</em><span>gene predictions.&nbsp;</span><a href="http://gmod.org/wiki/Main_Page">GMOD</a><span>, the umbrella organization that includes MAKER, has some nice tutorials online for running MAKER. However, these were quite simplified examples and it took a bit of effort to wrap my head completely around everything. Here I will describe a&nbsp;</span><em>de novo</em><span>&nbsp;genome annotation for&nbsp;</span><em>Boa constrictor</em><span>&nbsp;in detail, so that there is a record and that it is easy to use this as a guide to annotate any genome.</span></p><p>Address of the bookmark: <a href="https://www.biostars.org/p/261203/" rel="nofollow">https://www.biostars.org/p/261203/</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22130/senior-research-fellow-srf-bioinformatics-at-central-institute-for-research-on-buffaloes</guid>
  <pubDate>Sat, 18 Apr 2015 04:30:47 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Research Fellow (SRF) Bioinformatics at Central Institute for Research on Buffaloes]]></title>
  <description><![CDATA[
<p>Senior Research Fellow (SRF) Bioinformatics at Central Institute for Research on Buffaloes<br />Address: Central Institute for Research on Buffaloes, Sirsa Road, Hisar<br />State: Haryana<br />Pay Scale: Post Graduate in subjects other than Veterinary Science Rs. 16000/- per month for 1st and 2nd year and Rs. 18000/- per month for 3rd year. Post Graduate in Veterinary Science Rs. 18000/- per month for 1st and 2nd Year and Rs. 20000/- per month for 3rd year.<br />Educational Requirements: Master’s degree in biotechnology/animal biotechnology, veterinary/animal biochemistry, veterinary microbiology or veterinary/animal physiology/Nano Technology/Bioinformatics or related area.<br />Qualifications: Ph.D in relevant field/experience of working in any research project<br />Details will be available at: http://www.cirb.res.in/attachments/195_Walk-in-Interview%20for%20Senior%20Research%20Fellow%20%28SRF%29%20%28On%20Dated%2020.4.2015%29.pdf<br />How To Apply: Interested candidates who fulfill the above conditions should report for interview with a copy of their bio-data, photocopy and original certificates and testimonials, other related material i.e. reports, documents, articles, etc., if any.<br />Date &amp; Time of Interview: 20.04.2015 at 11.00 hrs<br />Venue: CIRB, Hisar</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38801/genome-assembly-forensics-finding-the-elusive-mis-assembly</guid>
	<pubDate>Sat, 26 Jan 2019 18:02:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38801/genome-assembly-forensics-finding-the-elusive-mis-assembly</link>
	<title><![CDATA[Genome assembly forensics: finding the elusive mis-assembly]]></title>
	<description><![CDATA[<p><span>We present the first collection of tools aimed at automated genome assembly validation. This work formalizes several mechanisms for detecting mis-assemblies, and describes their implementation in our automated validation pipeline, called&nbsp;</span><em>amosvalidate</em><span>. We demonstrate the application of our pipeline in both bacterial and eukaryotic genome assemblies, and highlight several assembly errors in both draft and finished genomes. The software described is compatible with common assembly formats and is released, open-source, at&nbsp;</span><a href="http://amos.sourceforge.net/" target="_blank">http://amos.sourceforge.net</a><span>.</span></p>
<p>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2397507/&nbsp;</p>
<p>http://amos.sourceforge.net/wiki/index.php/AMOS</p><p>Address of the bookmark: <a href="http://amos.sourceforge.net/wiki/index.php/AMOS" rel="nofollow">http://amos.sourceforge.net/wiki/index.php/AMOS</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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