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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28855?offset=1130</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40544/ngs-bits-short-read-sequencing-tools</guid>
	<pubDate>Thu, 16 Jan 2020 23:14:00 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40544/ngs-bits-short-read-sequencing-tools</link>
	<title><![CDATA[ngs-bits - Short-read sequencing tools]]></title>
	<description><![CDATA[<p>Binaries of&nbsp;<em>ngs-bits</em>&nbsp;are available via Bioconda. Alternatively,&nbsp;<em>ngs-bits</em>&nbsp;can be built from sources:</p>
<ul>
<li><span>Binaries</span>&nbsp;for&nbsp;<a href="https://github.com/imgag/ngs-bits/blob/master/doc/install_bioconda.md">Linux/macOS</a></li>
<li>From&nbsp;<span>sources</span>&nbsp;for&nbsp;<a href="https://github.com/imgag/ngs-bits/blob/master/doc/install_unix.md">Linux/macOS</a></li>
<li>From&nbsp;<span>sources</span>&nbsp;for&nbsp;<a href="https://github.com/imgag/ngs-bits/blob/master/doc/install_win.md">Windows</a></li>
</ul><p>Address of the bookmark: <a href="https://github.com/imgag/ngs-bits" rel="nofollow">https://github.com/imgag/ngs-bits</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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/view/119</guid>
	<pubDate>Wed, 10 Jul 2013 14:35:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/view/119</link>
	<title><![CDATA[Which are the best statistical programming languages to study for a bioinformatician?]]></title>
	<description><![CDATA[<p><span>In Bio-informatics based&nbsp;genome sequencing and predicting metabolic pathways&nbsp;research jobs&nbsp;I used Matlab, SAS, SPSS, R and several Bioconductor packages. Matlab had a lot of powerful tools and was easy to use, whereas SPSS is for non-programmers and R need programming skills. I am wondering what other people think is best? or there might not be one specific language but a few that lend themselves best to Bio-informatics work that is math heavy and deals with a large amount of data.</span></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/20437/wuxi-has-acquired-nextcode-health</guid>
	<pubDate>Mon, 19 Jan 2015 08:17:35 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/20437/wuxi-has-acquired-nextcode-health</link>
	<title><![CDATA[WuXi has acquired NextCODE Health]]></title>
	<description><![CDATA[<p>Shanghai, China-headquartered pharmatech company WuXi (NYSE: WX) has acquired NextCODE Health, a genomic analysis and bioinformatics company based in the USA.<br /><br />The acquisition was made for $65 million in cash, and WuXi plans to merge its genome center with NextCODE Health to form a new company, WuXi NextCODE Genomics. The business will be headquartered in Shanghai and have operations in Cambridge, Massachusetts, and Reykjavik, Iceland.<br /><br />With the huge unmet medical needs in diseases with a genetic component and the rapid advances in genomics and bioinformatics, now is the right time for WuXi to make a strategic investment in this field, and NextCODE is the right partner. This new venture of WuXi NextCODE Genomics will create important new genomic and bioinformatic products and services to help make personalized treatment and medicine a reality.&nbsp; It will also enable doctors to provide better treatments to patients.<br /><br /></p>]]></description>
	<dc:creator>Pranjali Yadav</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4433/upcoming-r-webinar</guid>
	<pubDate>Wed, 11 Sep 2013 10:30:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4433/upcoming-r-webinar</link>
	<title><![CDATA[Upcoming R Webinar]]></title>
	<description><![CDATA[<p>This webinar will describe an R based approach to considerably speed GWAS computation time on a notebook book computer.</p><p>More http://www.extension.org/pages/68354/upcoming-webinar:-fast-semi-parallel-linear-and-logistic-regression-for-genome-wide-association-studi#.UjCL9azyPqV</p><p>Register @ https://www1.gotomeeting.com/register/237810425</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21200/ra-bioinformatics-at-ciba</guid>
  <pubDate>Fri, 13 Feb 2015 11:23:18 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at CIBA]]></title>
  <description><![CDATA[
<p>Recruitment 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>Posts Research Associate</p>

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

<p>Project Name “Centre for Agricultural Bioinformatics (CABin)”</p>

<p>Duration 12th Plan (2012-2017) / co-terminus with the project 12th Plan (2012-2017) / co-terminus with the project</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>Technician</p>

<p>B.Tech. or Master degree in computer science/Computer Engineering /MCA or equivalent. 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.</p>

<p>Age limits are relaxable for SC / ST / OBC candidates as per rules.</p>

<p>Maximum 40 years for men and 45 years for women as on date of interview.</p>

<p>Age limits are relaxable for SC / ST / OBC candidates as per rules.</p>

<p>Eligible Candidates may send their Curriculum Vitae along with the contact numbers to ashok@ciba.res.in on or before 13-02-2015.</p>

<p>Candidates selected after initial screening will be called for interview.</p>

<p>Advertisement: www.ciba.res.in/attachments/jobs/CABin-3006.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/19272/translate2r</guid>
	<pubDate>Fri, 21 Nov 2014 01:16:06 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/19272/translate2r</link>
	<title><![CDATA[translate2R]]></title>
	<description><![CDATA[<p>After their presentation at the international &ldquo;user!&rdquo; conference, data analysis specialist <a href="http://www.eoda.de/en/" target="_blank">eoda</a> starts the public alpha testing of <a href="http://www.eoda.de/en/translate2R.html" target="_blank">translate2R</a>. With the start of alpha testing the innovative migration solution by the company hailing from Kassel discards the working title &ldquo;translateR&rdquo; and takes on the final product brand name &ldquo;translate2R&rdquo;. translate2R is a service for the automated translation of SPSS&reg; syntax to R code, therefore supporting data analysts with a quick and low-risk migration to R.</p><p>The manual translation of many, frequently rather complex SPSS scripts often presents itself as a tedious and error-prone task, and represents a rather large obstacle for many analysts and companies to migrate to a modern, open source data management and analysis tool like R. With translate2R this hurdle will be diminished substantially.</p><p>Find at https://service.eoda.de/translater/?lang=en</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/20677/postdoctoral-researcher-at-department-of-biotechnology-catholic-university-of-daegu-kyungsan-kyungbuk-south-korea</guid>
  <pubDate>Thu, 29 Jan 2015 12:11:16 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Researcher at Department of Biotechnology, Catholic University of Daegu, Kyungsan, Kyungbuk, South Korea.]]></title>
  <description><![CDATA[
<p>Applications are invited from Indian nationals for a Post Doctoral position at Molecular Medical Laboratory, Department of Biotechnology, Catholic University of Daegu, Kyungsan, Kyungbuk, South Korea.</p>

<p>Qualification required: PhD in Life Sciences/ Molecular Biology/ Bioinformatics or related discipline.</p>

<p>Desirable Qualification:</p>

<p>1. Candidates having experience in molecular biology techniques and must be well versed with bioinformatics tool or expert in relevant fields will be preferred.<br />2. The candidate should have good communication skill, knowledge about designing experiments and analyzing data.<br />3. Sense of initiative, autonomy, organization and thoroughness, good relation qualities.<br />Remuneration: 2000USD per month.</p>

<p>Last date of submitting the complete applications furnishing Bio-data is 10th February, 2015.</p>

<p>Interested candidates should send their resume including all personal as well as academic details to the principal investigator Prof Seung-Won Park (email:microsw@cu.ac.kr)</p>

<p>The shortlisted candidates will be intimated within February 2015.</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22438/research-associate-nbfgr-lucknow-uttar-pradesh</guid>
  <pubDate>Thu, 28 May 2015 19:37:22 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate NBFGR - Lucknow, Uttar Pradesh]]></title>
  <description><![CDATA[
<p>NBFGR, Lucknow is recruiting Bioinformatics experts for the post of Research Associate</p>

<p>Name of Position : Research Associate<br />No of Post : One<br />Desired candidate Profile : Candidate should be PhD in Bioinformatics or equivalent or Post-Graduation Bioinformatics with 1st division or 60% marks. Preference will be given to candidates having experience in server management<br />Remuneration : Rs 24000/- pm + HRA for PhD holders<br />Age requirement- 40 years (5 years relaxation for SC/ST/women candidates and 3 years for OBC candidates) as on date of interview.</p>

<p>How to apply- Interested candidates can walk -in-interview on 30.05.2015 at 10:00 hrs at National Bureau of Fish Genetic Resources, Lucknow.</p>

<p>Ref- http://www.nbfgr.res.in/PDF/News%20&amp;%20Events/Walk%20in%20interview%20on%2030.05.2015.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34504/minion-gc-an-r-script-to-do-some-qc-on-minion-data</guid>
	<pubDate>Sun, 03 Dec 2017 15:19:18 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34504/minion-gc-an-r-script-to-do-some-qc-on-minion-data</link>
	<title><![CDATA[MinION_GC: An R script to do some QC on MinION data]]></title>
	<description><![CDATA[<p><span>Other tools focus on getting data out of the fastq or fast5 files, which is slow and computationally intensive. The benefit of this approach is that it works on a single, small, .txt summary file. So it's a lot quicker than most other things out there: it takes about a minute to analyse a 4GB flowcell on my laptop.</span></p>
<p>https://github.com/roblanf/minion_qc</p><p>Address of the bookmark: <a href="https://github.com/roblanf/minion_qc" rel="nofollow">https://github.com/roblanf/minion_qc</a></p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
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