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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/42813?offset=80</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/23680/five-key-traits-to-seek-out-in-potential-bioinformatics-candidates</guid>
	<pubDate>Mon, 10 Aug 2015 12:53:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/23680/five-key-traits-to-seek-out-in-potential-bioinformatics-candidates</link>
	<title><![CDATA[Five key traits to seek out in potential bioinformatics candidates !!!]]></title>
	<description><![CDATA[<p>Genomics and proteomics data are being collected in bulk, but mostly, traditional biologist don&rsquo;t know what to do with it. Perhaps this is the reason why (not only this!!! ) computational biologist/bioinformatics scientists are hot commodities in the research world.</p><p>In fact, there are huge demands for expert biological data analyst. It&rsquo;s a fairly new &nbsp;(not exactly) hot area, these bioinformatician are invaluable because they know and understand the significance of biological data for your research and how you can use it for better understanding of biological problems.</p><p>The bioinformatics can discover biological patterns and stories in genomic and proteomics data. They can develop the pipeline needed to properly collect, store and analyse it.</p><p><img src="http://bioinformaticsonline.com/mod/photo/hire.gif" alt="image" style="border: 0px;"></p><p>Once your research group is ready to make a larger investment and hire a bioinformatician to gain a competitive edge, there are several key traits to seek out in potential candidates. The best bioinformatician are:</p><p>1. Highly Skilled - programming skills, experience with the biological software and tools.</p><p>The biological data won&rsquo;t illuminate much if the scientist analysing it doesn&rsquo;t possess practical programming skills, experience with the biological software and tools and a thorough understanding of basic biological stuff. A solid background in mathematics and statistics is also an indispensable trait.</p><p>2. Insight - Real vision, robust understanding and deep insight.</p><p>In order to hire the best bioinformatics and computational biologist scientist for your needs, it is always recommended and mostly practiced by the recruiters, to ask each contender to write and develop a sample script/presentation based on a specific set of data you provide. Then, explore the approaches used to deal with data provided and pick up those candidates who convey real vision, robust understanding and deep insight.</p><p>3. Energetic &ndash; Curiosity to explore</p><p>Mostly natural curiosity and enthusiasm for solving big biological problems coupled with an ability to transform data into a scientific stories may place one candidate above the rest. In addition to achieve that, the bioinformatician should be agile enough to quickly modify their methods to suit changes within a particular research.</p><p>4. Researcher &ndash; Publications</p><p>Look for someone who has a keen sense and understanding of concern biological problems. You can judge it by looking at previously published papers and data. It is always recommended to have a look at GitHub and other repository for codes written by her/him.</p><p>5. Impressive communicator - Insight that can&rsquo;t be expressed is worthless.</p><p>Good bioinformatics scientists are able to uncover biological patterns and are willing to explain those patterns in clear and helpful ways through thoughtful and open communication. In other words, they should must have good scientific writing skills. A computational biologis/bioinformatician&nbsp; should know how to present the data and tell a scientific story through numbers/images.</p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24074/bioinformatics-training-fellowship</guid>
  <pubDate>Fri, 28 Aug 2015 16:02:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Training Fellowship !!]]></title>
  <description><![CDATA[
<p>Applications are invited from suitable candidates for six months ‘Training Fellowship’ in Bioinformatics under the BTISNET program of DBT in the Distributed Information Sub center (DISC) facility at NIPGR, New Delhi, under the supervision of Dr. Gitanjali Yadav, Scientist, NIPGR.</p>

<p>Project Title 	No. of post(s) 	Designation 	Stipend in  	Tenure 	Start 	End<br />Establishment of Distributed Information Sub-Centre (DISC) 	02 	Trainee Fellow / Student Fellow 	5,000/- p.m 	Six months 	01/01/2016 	30/06/2016</p>

<p>Essential Qualification: </p>

<p>Traineeship: Candidate having B.Tech or Master Degree or equivalent in Bioinformatics/ Biotechnology with strong interest in Computational Biology and First class/ division throughout academic career may apply. </p>

<p>Studentship: Students currently pursuing the final year of B.Tech or Masters Degree or equivalent in Bioinformatics/ Biotechnology, requiring a thesis as a necessary pre-requisite for completion of respective degree and First class/ division throughout academic career may apply.</p>

<p>Desirable Qualification: Proficiency in Coding Algorithms and Bioinformatics Applications, evidenced by short trainings or computing courses.</p>

<p>The positions are purely temporary and co-terminus with the tenure of the training period as mentioned above. NIPGR reserves the right to select the candidate against the above fellowship depending upon the qualification and experience of the candidate. Reservations shall be as per Govt. of India norms. The applicants will have no claim implicit or explicit for consideration against any regular position of DISC/NIPGR.</p>

<p>Eligible candidates may apply online application form available</p>

<p>at http://www.nipgr.res.in/discform.html within 15 days from the date of</p>

<p>advertisement.Applications received through any other mode will be disqualified outright. </p>

<p>More at http://www.nipgr.res.in/discform.html</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26306/busco</guid>
	<pubDate>Sun, 07 Feb 2016 16:02:39 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26306/busco</link>
	<title><![CDATA[BUSCO]]></title>
	<description><![CDATA[<p>Assessing genome assembly and annotation completeness with Benchmarking Universal Single-Copy Orthologs</p>
<p>More at http://busco.ezlab.org/</p><p>Address of the bookmark: <a href="http://busco.ezlab.org/" rel="nofollow">http://busco.ezlab.org/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26325/crossmap</guid>
	<pubDate>Mon, 08 Feb 2016 15:47:00 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26325/crossmap</link>
	<title><![CDATA[CrossMap]]></title>
	<description><![CDATA[<p>CrossMap is a program for convenient conversion of genome coordinates (or annotation files) between <em>different assemblies</em> (such as Human <a href="http://www.ncbi.nlm.nih.gov/assembly/2928/">hg18 (NCBI36)</a> &lt;&gt; <a href="http://www.ncbi.nlm.nih.gov/assembly/2758/">hg19 (GRCh37)</a>, Mouse <a href="http://www.ncbi.nlm.nih.gov/assembly/165668/">mm9 (MGSCv37)</a> &lt;&gt; <a href="http://www.ncbi.nlm.nih.gov/assembly/327618/">mm10 (GRCm38)</a>).</p>
<p>It supports most commonly used file formats including SAM/BAM, Wiggle/BigWig, BED, GFF/GTF, VCF.</p>
<p>CrossMap is designed to liftover genome coordinates between assemblies. It&rsquo;s <em>not</em> a program for aligning sequences to reference genome.</p>
<p>We <em>do not</em> recommend using CrossMap to convert genome coordinates between species.</p>
<p>More at http://crossmap.sourceforge.net/</p><p>Address of the bookmark: <a href="http://crossmap.sourceforge.net/" rel="nofollow">http://crossmap.sourceforge.net/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/28564/dbt-%E2%80%93-bioinformatics-industrial-training-programme-biitp-2016-%E2%80%93-17</guid>
	<pubDate>Wed, 27 Jul 2016 04:09:59 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/28564/dbt-%E2%80%93-bioinformatics-industrial-training-programme-biitp-2016-%E2%80%93-17</link>
	<title><![CDATA[DBT – Bioinformatics Industrial Training Programme (BIITP) 2016 – 17]]></title>
	<description><![CDATA[<p>BIITP is a programme of Department of Biotechnology (DBT), Ministry of Science and Technology, Government of India, managed by Biotech Consortium India Limited (BCIL).The objective of BIITP is to provide an opportunity to bioinformatics students to acquire practical skills and experience by working on projects alongside industry experts as well as to provide an opportunity for the industry to identify potential employees.</p><p><strong>DBT Invites online applications from the bioinformatics&nbsp;students and requisitions from biotech/bioinformatics companies.</strong></p><p><strong>Biotech Industry</strong>&nbsp;:</p><p>Biotech/Bioinformatics companies interested to provide hands on industrial training to the students of Bioinformatics under BIITP may apply online. The companies would have no obligation towards any payments to trainees. The companies would be paid bench fee to cover expenses towards training. Trainees would be provided to companies subject to availability.</p><p><strong>Attn: Bioinformatics Students</strong></p><p>Bioinformatics students interested in training in biotech / bioinformatics companies may apply online.&nbsp;<strong>Stipend of Rs. 10,000/- per month</strong>&nbsp;will be paid to candidates placed for training. The candidates will be selected for training through an interview.</p><p><strong>Eligiblity</strong>&nbsp;:</p><p>a) B.E /B.Tech./M.Sc./M.Tech./Advanced Post Graduate Diploma in Bioinformatics from an Indian recognized university with minimum 55% marks or equivalent grade at highest degree/diploma completed in the year 2015 or 2016 are only eligible to apply.</p><p>b) The Advanced Post Graduate diploma should be of at least one year duration after graduation.</p><p>c)&nbsp; Students whose result of last semester/final year is not declared can also apply mentioning their marks upto the semester/year upto which result declared. The final result with original mark sheet(s) of all the semesters/years will have to be produced at the time of interview.</p><p><strong>Application Procedure</strong>&nbsp;:</p><p>The online application form is available below :</p><p><strong><a href="https://www.biotecnika.org/2016/07/dbt-bioinformatics-industrial-training-programme-biitp-2016-17/?xurl=%3A%2F%2Fwww.bcil.nic.in%2Fbiitp2016-17%2Fregistration1.asp" target="_blank">Application Form For Students (New User)</a></strong></p><p><strong><a href="https://www.biotecnika.org/2016/07/dbt-bioinformatics-industrial-training-programme-biitp-2016-17/?xurl=%3A%2F%2Fwww.bcil.nic.in%2Fbiitp2016-17%2Fregistration.asp%3FT1%3DCompany" target="_blank">Requisition form for companies (New User)</a></strong></p><p><strong><a href="https://www.biotecnika.org/2016/07/dbt-bioinformatics-industrial-training-programme-biitp-2016-17/?xurl=%3A%2F%2Fwww.bcil.nic.in%2Fbiitp2016-17%2Findex1.asp" target="_blank">Already registered User Click Here</a></strong></p><p>The following documents are to be sent to Mr. Manoj Gupta, Manager, Biotech Consortium India Limited, 5th floor, Anuvrat Bhawan, 210, Deen Dayal UpadhyayaMarg, New Delhi-110002.</p><p>More at&nbsp;http://www.bcil.nic.in/biitp2016-17/index.asp</p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29578/plink2</guid>
	<pubDate>Thu, 27 Oct 2016 11:24:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29578/plink2</link>
	<title><![CDATA[PLINK2]]></title>
	<description><![CDATA[<p><span>This is a comprehensive update to Shaun Purcell's&nbsp;</span><a href="http://pngu.mgh.harvard.edu/~purcell/plink/">PLINK</a><span>&nbsp;command-line program, developed by&nbsp;</span><a href="mailto:chrchang@alumni.caltech.edu">Christopher Chang</a><span>&nbsp;with support from the&nbsp;</span><a href="http://www.niddk.nih.gov/">NIH-NIDDK</a><span>'s Laboratory of Biological Modeling, the&nbsp;</span><a href="http://research.mssm.edu/statgen/">Purcell Lab</a><span>&nbsp;at Mount Sinai School of Medicine, and others. (</span><a href="https://www.cog-genomics.org/plink2/#new">What's new?</a><span>) (</span><a href="https://www.cog-genomics.org/plink2/credits">Credits.</a><span>) (</span><a href="http://www.gigasciencejournal.com/content/4/1/7">Methods paper.</a><span>)</span></p><p>Address of the bookmark: <a href="https://www.cog-genomics.org/plink2/" rel="nofollow">https://www.cog-genomics.org/plink2/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/29601/statistics-using-r-with-biological-examples</guid>
	<pubDate>Thu, 03 Nov 2016 04:55:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/29601/statistics-using-r-with-biological-examples</link>
	<title><![CDATA[Statistics Using R   with Biological Examples]]></title>
	<description><![CDATA[<p>This book is a manifestation of my desire to teach researchers in biology a bit more about statistics than an ordinary introductory course covers and to introduce the utilization of R as a tool for analyzing their data. My goal is to reach those with little or no training in higher level statistics so that they can do more of their own data analysis, communicate more with statisticians, and appreciate the great potential statistics has to offer as a tool to answer biological questions. </p><p>This is necessary in light of the increasing use of higher level statistics in biomedical research. I hope it accomplishes this mission and encourage its free distribution and use as a course text or supplement.</p><p>K Seefeld, May 2007</p>]]></description>
	<dc:creator>Neel</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/29601" length="4581031" type="application/pdf" />
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29624/information-officer-at-iiar-gujarat</guid>
  <pubDate>Fri, 04 Nov 2016 05:19:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[Information Officer at IIAR, Gujarat]]></title>
  <description><![CDATA[
<p>Walk in interview at 10.30 am on Nov 11th, 2016 for the following position at Distributed Information Sub-Centre (DISC) established by Dept. Of Biotechnology, Govt. of India at Indian Institute of Advanced Research, Gandhinagar, Gujarat</p>

<p>Position (scale), qualifications and experience</p>

<p>1. Information Officer (Rs 8000-275-13500): one post <br />Qualifications and experience: MCA, Post-Graduate in any field of biosciences, bioinformatics with at least two years of experience in working in a bioinformatics setup and good knowledge of linux operating system and computer networking.</p>

<p>General terms and conditions: <br />1. The above engagements is presently till March 31st, 2017. However on extension of project grant and satisfactory performance of the candidate, your services can be extended beyond March 31st, 2017 based on the terms and conditions of extension of project grant.</p>

<p>2. It is not an appointment with the institute and will not confer any right to the incumbent to any claim implicit or explicit on any position.</p>

<p>3.No TA/DA will be paid for attending the interview. Outstation candidates have to make their own arrangement for their stay.</p>

<p>4.Candidates, appearing in the walk-in interview are requested to bring the hard copy of application addressed to Dr. Anju Pappachan with latest photograph, CV mentioning qualifications, work experience and name of two referees and one page write up as to why you would like to join the project.</p>

<p>Address: <br />Dr. Anju Pappachan <br />Indian Institute of Advanced Research (IIAR), <br />University  and Institute of Advanced Research, <br />The Puri Foundation for Education in India, <br />Koba Institutional Area, <br />Gandhinagar- 382 007, Gujarat, India. Contact no. 079-30514152 <br />e-mail- anju@iiar.res.in</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29957/record</guid>
	<pubDate>Fri, 25 Nov 2016 08:23:36 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29957/record</link>
	<title><![CDATA[RECORD]]></title>
	<description><![CDATA[<p>Background. Next-generation sequencing technologies are now producing multiple times the genome size in total reads from a single experiment. This is enough information to reconstruct at least some of the differences between the individual genome studied in the experiment and the reference genome of the species. However, in most typical protocols, this information is disregarded and the reference genome is used. Results. We provide a new approach that allows researchers to reconstruct genomes very closely related to the reference genome (e.g., mutants of the same species) directly from the reads used in the experiment. Our approach applies de novo assembly software to experimental reads and so-called pseudoreads and uses the resulting contigs to generate a modified reference sequence. In this way, it can very quickly, and at no additional sequencing cost, generate new, modified reference sequence that is closer to the actual sequenced genome and has a full coverage. In this paper, we describe our approach and test its implementation called RECORD. We evaluate RECORD on both simulated and real data. We made our software publicly available on sourceforge. Conclusion. Our tests show that on closely related sequences RECORD outperforms more general assisted-assembly software.</p>
<p>More at&nbsp;https://sourceforge.net/projects/record-genome-assembler/files/</p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/pubmed/26558255" rel="nofollow">https://www.ncbi.nlm.nih.gov/pubmed/26558255</a></p>]]></description>
	<dc:creator>Bulbul</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29656/statistics-and-probability</guid>
	<pubDate>Tue, 08 Nov 2016 07:34:25 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29656/statistics-and-probability</link>
	<title><![CDATA[Statistics and probability]]></title>
	<description><![CDATA[<h3><span>Topics</span></h3>
<div>
<div><a href="https://www.khanacademy.org/math/statistics-probability/displaying-describing-data">Displaying and describing data</a></div>
<div><a href="https://www.khanacademy.org/math/statistics-probability/modeling-distributions-of-data">Modeling distributions of data</a></div>
<div><a href="https://www.khanacademy.org/math/statistics-probability/describing-relationships-quantitative-data">Describing relationships in quantitative data</a></div>
<div><a href="https://www.khanacademy.org/math/statistics-probability/designing-studies">Designing studies</a></div>
<div><a href="https://www.khanacademy.org/math/statistics-probability/probability-library">Probability</a></div>
<div><a href="https://www.khanacademy.org/math/statistics-probability/random-variables-stats-library">Random variables</a></div>
<div><a href="https://www.khanacademy.org/math/statistics-probability/sampling-distributions-library">Sampling distributions</a></div>
<div><a href="https://www.khanacademy.org/math/statistics-probability/confidence-intervals-one-sample">Confidence intervals (one sample)</a></div>
<div><a href="https://www.khanacademy.org/math/statistics-probability/significance-tests-one-sample">Significance tests (one sample)</a></div>
<div><a href="https://www.khanacademy.org/math/statistics-probability/significance-tests-confidence-intervals-two-samples">Significance tests and confidence intervals (two samples)</a></div>
<div><a href="https://www.khanacademy.org/math/statistics-probability/inference-categorical-data-chi-square-tests">Inference for categorical data (chi-square tests)</a></div>
<div><a href="https://www.khanacademy.org/math/statistics-probability/advanced-regression-inference-transforming">Advanced regression (inference and tran</a></div>
</div><p>Address of the bookmark: <a href="https://www.khanacademy.org/math/statistics-probability" rel="nofollow">https://www.khanacademy.org/math/statistics-probability</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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