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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/29280?offset=1560</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/poll/view/22920/how-long-have-you-been-a-bioinformatics-scientist-for</guid>
	<pubDate>Tue, 23 Jun 2015 10:55:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/poll/view/22920/how-long-have-you-been-a-bioinformatics-scientist-for</link>
	<title><![CDATA[How long have you been a bioinformatics scientist for?]]></title>
	<description><![CDATA[<p>Most of the researcher have been a scientist whole life, but infact they actually started paying&nbsp; it with at certain time.So, how long have you been in bioinformatics domain now?</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36518/mix-combining-multiple-assemblies-from-ngs-data</guid>
	<pubDate>Tue, 08 May 2018 04:58:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36518/mix-combining-multiple-assemblies-from-ngs-data</link>
	<title><![CDATA[MIX: Combining multiple assemblies from NGS data]]></title>
	<description><![CDATA[<p>Mix is a tool that combines two or more draft assemblies, without relying on a reference genome and has the goal to reduce contig fragmentation and thus speed-up genome finishing. The proposed algorithm builds an extension graph where vertices represent extremities of contigs and edges represent existing alignments between these extremities. These alignment edges are used for contig extension. The resulting output assembly corresponds to a path in the extension graph that maximizes the cumulative contig length.</p>
<p>The Mix algorithm, approach and results were published in BMC bioinformatics :&nbsp;<a href="http://www.biomedcentral.com/1471-2105/14/S15/S16">http://www.biomedcentral.com/1471-2105/14/S15/S16</a>.</p><p>Address of the bookmark: <a href="https://github.com/cbib/MIX" rel="nofollow">https://github.com/cbib/MIX</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22966/ra-bioinformatics-at-icged</guid>
  <pubDate>Sun, 28 Jun 2015 12:24:01 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at ICGED]]></title>
  <description><![CDATA[
<p>Research Associate Position at ICGEB, New Delhi with Dr. Amit Sharma</p>

<p>Starting 15th July 2015, the position relates to a project specifically for in silico drug docking, screening, design, optimisation and linkage with active chemists. </p>

<p>Experience in many docking softwares and operating systems is essential. </p>

<p>Additional experience in bioinformatics and computational biology tools will be useful. </p>

<p>Submit curriculum vitae to: sb.icgeb@gmail.com</p>

<p>Closing date: 5 July 2015</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/23160/opencpu</guid>
	<pubDate>Sun, 05 Jul 2015 18:34:46 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/23160/opencpu</link>
	<title><![CDATA[OpenCPU]]></title>
	<description><![CDATA[<p>OpenCPU is a system for embedded scientific computing and reproducible research. The OpenCPU server provides a reliable and interoperable <a href="https://www.opencpu.org/api.html">HTTP API</a> for data analysis based on R.</p><p>The OpenCPU <a href="https://www.opencpu.org/jslib.html">JavaScript client library</a> provides the most seamless integration of R and JavaScript available today.</p><p>OpenCPU uses standard R packaging to develop, ship and deploy web applications. Several open source <a href="https://www.opencpu.org/apps.html">example apps</a> are available from Github.</p><p>Installing your own OpenCPU server is <a href="https://www.opencpu.org/download.html">super easy</a> and only takes a few minutes.</p><p>More at https://www.opencpu.org/</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/28051/convert-ensembl-gtf-to-annotation-table-geneid-genesymbol-genewisechrlocation-geneclass-strand-raw</guid>
	<pubDate>Fri, 24 Jun 2016 18:08:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/28051/convert-ensembl-gtf-to-annotation-table-geneid-genesymbol-genewisechrlocation-geneclass-strand-raw</link>
	<title><![CDATA[Convert EnsEMBL GTF to Annotation table (Geneid, GeneSymbol, GeneWiseChrLocation, GeneClass, Strand) Raw]]></title>
	<description><![CDATA[<p><strong>Bash Script source:</strong></p><p>https://gist.github.com/santhilalsubhash/367befcf5216be4b1fd9</p><p>&nbsp;</p><p><strong>Information</strong>:</p><p>This script converts EnsEMBL GTF (Ex:&nbsp;<a href="https://gist.githubusercontent.com/santhilalsubhash/1e7cca357e52a181dc25/raw/cfb803e07900a2baefbb6534f1299fd30cb57a29/sample.GTF">https://gist.githubusercontent.com/santhilalsubhash/1e7cca357e52a181dc25/raw/cfb803e07900a2baefbb6534f1299fd30cb57a29/sample.GTF</a>) file to annotation table format. It generated two files<br />1) Transcript wise chromosome location with information about transcripts (Ex:&nbsp;<a href="https://gist.githubusercontent.com/santhilalsubhash/c7dec516e0338503a4b6/raw/de0af1a39f0005c4ce7321c5ae57fc8b4a14c7f4/sample.GTF_enst_annotation.txt">https://gist.githubusercontent.com/santhilalsubhash/c7dec516e0338503a4b6/raw/de0af1a39f0005c4ce7321c5ae57fc8b4a14c7f4/sample.GTF_enst_annotation.txt</a>)<br />2) Gene wise chromosome location with information about genes (Ex:&nbsp;<a href="https://gist.githubusercontent.com/santhilalsubhash/c92006c5080f0333bec2/raw/d16e0b2440d73b09b486d3c9751cdb248a73fa0b/sample.GTF_ensg_annotation.txt">https://gist.githubusercontent.com/santhilalsubhash/c92006c5080f0333bec2/raw/d16e0b2440d73b09b486d3c9751cdb248a73fa0b/sample.GTF_ensg_annotation.txt</a>)</p><p>Note: You can download GTF files from&nbsp;<a href="http://www.ensembl.org/info/data/ftp/index.html">http://www.ensembl.org/info/data/ftp/index.html</a></p>]]></description>
	<dc:creator>EagleEye</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24042/research-associate-bioinformatician-university-of-bristol</guid>
  <pubDate>Wed, 26 Aug 2015 05:46:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatician @ University of Bristol]]></title>
  <description><![CDATA[
<p>This 0.5 fte role will have specific responsibility for the bioinformatic side of a Health Innovation Challenged Fund (HICF) research project investigating the application of Next Generation Sequencing (NGS) technologies to the analysis of Minimal Residual Disease (MRD) in childhood Acute Lymphoblastic Leukaemia (ALL). The successful candidate will be responsible for designing and implementing an analysis pipeline primarily to fit with the clinical need, but with the capacity to answer innovative research questions.</p>

<p>For informal enquiries please contact Anne Walsh via email: anne.walsh@bristol.ac.uk.</p>

<p>Apply at http://www.bris.ac.uk/jobs/find/details.html?nPostingID=3639&amp;nPostingTargetID=13346&amp;option=28&amp;sort=DESC&amp;respnr=1&amp;ID=Q50FK026203F3VBQBV7V77V83&amp;JobNum=ACAD101624&amp;Resultsperpage=10&amp;lg=UK&amp;mask=uobext</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37830/nquire-a-statistical-framework-for-ploidy-estimation-using-next-generation-sequencing</guid>
	<pubDate>Thu, 04 Oct 2018 05:23:59 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37830/nquire-a-statistical-framework-for-ploidy-estimation-using-next-generation-sequencing</link>
	<title><![CDATA[nQuire: a statistical framework for ploidy estimation using next generation sequencing]]></title>
	<description><![CDATA[<p>nQuire provides a statistical framework to study organisms with intraspecific variation in ploidy. nQuire is likely to be useful in epidemiological studies of pathogens, artificial selection experiments, and for historical or ancient samples where intact nuclei are not preserved. It is implemented as a stand-alone Linux command line tool in the C programming language and is available at https://github.com/clwgg/nQuireunder the MIT license.</p><p>Address of the bookmark: <a href="https://github.com/clwgg/nQuireunder" rel="nofollow">https://github.com/clwgg/nQuireunder</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23283/ra-bioinformatics-at-iisr</guid>
  <pubDate>Mon, 13 Jul 2015 02:12:10 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at IISR]]></title>
  <description><![CDATA[
<p>Bioinformatics Research Associate at Indian Institute of Spice Research</p>

<p>Pay Scale: Rs. 40,000/-per month +HRA (as admissible) for Ph.D. holders and Rs. 38,000/-p.m. + HRA (as admissible) for Master degree holder</p>

<p>Qualifications: a)Essential :</p>

<p>Ph.D.in Biotechnology/ Molecular B iology/ Genetics &amp; Plant Breeding/ Bioinformatics ( Should have the degree in life sciences at gra duate level) OR Post - Graduation in Biotechnology/ Molecular Biology/ Bioinformati cs/Genetics &amp; Plant Breeding</p>

<p>or equivalent with at least two years of research experience and 60% marks. ( should have a degree in life sciences at graduate level)</p>

<p>b) Desirable :</p>

<p>1. Working experience in plant molecular biology</p>

<p>2. Knowledge of Computational Genomics/Proteomics/ Bioinformatics</p>

<p>3. Working knowledge on Computer programming</p>

<p>Walk-in Interview will be held at The Indian Institute of Spices Research, Marikunnu P.O., Kozikode-673012, Kerala on 28/7/2015 at 10.00 AM.</p>

<p>For more details: http://www.spices.res.in/pdf/Mining%20and%20Validation%20Website.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/38815/research-opening-ibab-bengaluru</guid>
  <pubDate>Mon, 28 Jan 2019 17:45:54 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research opening @ IBAB, Bengaluru]]></title>
  <description><![CDATA[
<p>Applications are invited for the position of Project Assistant in Bio-IT centre at IBAB, Electronic city, Bengaluru. The successful candidate will work in the next-generation sequencing (NGS) facility to perform nucleic acid isolations, quality and quantity analyses, NGS library preparations, and maintenance of sequencing related instruments and other related lab equipment. In addition, the candidate is expected to assist in various administrative matters including procurement, maintaining inventory of laboratory consumables etc. The person will have opportunity to get expertise in entire pipeline of NGS. After sufficient training, the person will act as a demonstrator in the workshops conducted by Bio-IT centre.<br />Essential Qualifications, Experiences, and Skills:</p>

<p>1. MSc. or B. Tech. or equivalent degree in Biotechnology or related life sciences discipline.<br />2. Strong aptitude for laboratory work and should be detail-oriented person.<br />3. Hands-on experience in basic molecular biology techniques.<br />4. Prior experience in working in a research laboratory or industry.<br />5. Basic IT skills that include familiarity with Microsoft Office packages.<br />6. Ability to carry out basic maintenance of general lab equipments and laboratory resources.<br />7. Ability to maintain accurate records of laboratory work.<br />8. Willingness to learn, and should be a team player.<br />Desirable Experience and Skills:<br />1. Familiarity with NGS technology.<br />2. Experience in preparation of NGS libraries.<br />3. Familiarity with Sanger sequencing technology (capillary electrophoresis based)</p>

<p>Remuneration: Remuneration will commensurate with expertise and experience.</p>

<p>How to Apply: Interested applicants fulfilling the criteria may send their detailed CV and a cover letter that explains their suitability for this position, in a single PDF, to Dr. Sreekanth Reddy at careers_bioit@ibab.ac.in. Last date for submission of application is 23rd February 2019. Please mention the position applying for in the subject line of the email.</p>

<p>About IBAB: The Bio-IT Centre at IBAB has state-of-art sequencing facility with the HiSeq 2500 and accessories such as Qubit, Covaris, Agilent 2200 TapeStation, Stratagene Mx 3000 for next generation sequencing, 3500 Dx Genetic Analyzer for capillary electrophoresis based sequencing, and HiScan for microarray imaging. The facility is fully operational and providing services to the scientific community. The Institute of Bioinformatics and Applied Biotechnology (IBAB) is a unique institute engaged in education, research and entrepreneur support programs and is based at Electronic City, Bangalore. IBAB’s mission is to catalyze the growth of the biotechnology and bioinformatics industries in India. To know more please visit: http://www.ibab.ac.in/index.php/bioit/</p>
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