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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28906?offset=1030</link>
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	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27841/covcal-coverage-read-count-calculator</guid>
	<pubDate>Wed, 15 Jun 2016 18:08:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27841/covcal-coverage-read-count-calculator</link>
	<title><![CDATA[CovCal: Coverage / Read Count Calculator]]></title>
	<description><![CDATA[<h2>Coverage / Read Count Calculator</h2>
<h4>Calculate how much sequencing you need to hit a target depth of coverage (or vice versa).</h4>
<p><span>Instructions:</span> set the read length/configuration and genome size, then select what you want to calculate.</p>
<p>Written by <a href="http://stephenturner.us/" target="blank">Stephen Turner</a>, based on the <a href="http://www.ncbi.nlm.nih.gov/pubmed/3294162" target="_blank">Lander-Waterman formula</a>, inspired by <a href="http://core-genomics.blogspot.com/2016/05/how-many-reads-to-sequence-genome.html" target="_blank">a similar calculator</a> written by James Hadfield. Coverage is calculated as <em>C=LN/G</em> and reads as <em>N=CG/L</em> where <em>C</em> = Coverage (X),<em>L</em> = Read length (bp), <em>G</em> = Haploid genome size (bp), and <em>N</em> = Number of reads. Source code <a href="https://github.com/stephenturner/covcalc" target="_blank">on GitHub</a>.</p><p>Address of the bookmark: <a href="http://apps.bioconnector.virginia.edu/covcalc/" rel="nofollow">http://apps.bioconnector.virginia.edu/covcalc/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28164/greengenes-database</guid>
	<pubDate>Wed, 29 Jun 2016 10:03:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28164/greengenes-database</link>
	<title><![CDATA[Greengenes database]]></title>
	<description><![CDATA[<p>The greengenes web application provides access to the 2011 version of the greengenes 16S rRNA gene sequence alignment for browsing, blasting, probing, and downloading. The data and tools presented by greengenes can assist the researcher in choosing phylogenetically specific probes, interpreting microarray results, and aligning/annotating novel sequences. If you are an ARB user, you can use greengenes to keep your own local database current.</p><p>Address of the bookmark: <a href="http://greengenes.lbl.gov/cgi-bin/nph-index.cgi" rel="nofollow">http://greengenes.lbl.gov/cgi-bin/nph-index.cgi</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28425/advertisement-for-junior-research-fellowjrf-at-school-of-computational-and-integrative-sciences-jawaharlal-nehru-university</guid>
  <pubDate>Thu, 14 Jul 2016 07:24:53 -0500</pubDate>
  <link></link>
  <title><![CDATA[Advertisement for Junior Research Fellow(JRF)  at School of Computational and Integrative Sciences  Jawaharlal Nehru University]]></title>
  <description><![CDATA[
<p>Advertisement for Junior Research Fellow(JRF) - (1)</p>

<p>Applications are invited for a post in DST, India funded Project entitled: "Positive and negative impacts of macromolecular crowding agents during target site location by DNA binding proteins – origin of optimal search at physiological ionic concentration (Reference Number: ECR/2016/000188) ''. The selected candidate will be appointed purely on temporary basis, initially for two years as a JRF that may be extended to one year of SRF based on the performance.</p>

<p>Position: Junior Research Fellow (1)</p>

<p>Qualifications &amp; Experience: Candidate must have a consistently good academic record with at least 60% marks in all throughout and must have qualified NET/GATE.</p>

<p>Desirable: Basic knowledge in the field of biophysics, molecular simulations and computational biology are desirable.</p>

<p>Salary: Consolidated Rs. 25,000 per month.</p>

<p>Tenure: The project duration is for three years and the selected candidate would be appointed after an interview. Appointment will be purely on temporary basis as stipulated by the existing rules of the University.</p>

<p>Interested candidates need to send an application to the address mentioned below mentioning the name of the project and post applied for (on the cover of the envelope).</p>

<p>The applications along with CV should be mailed at the address given below. Name, address, contact number and e. mail address of two referees must be enclosed with the application. The last date for the application is July 31st 2016.</p>

<p>Dr. Arnab Bhattacharjee (Principal Investigator) <br />Assistant Professor <br />School of Computational and Integrative Sciences <br />Jawaharlal Nehru University <br />New Delhi-110067 <br />E-mail: arnab@jnu.ac.in</p>

<p>Note: 1. Only shortlisted candidates will be communicated to appear in the interview at SCIS, JNU and no other communications in this regard will be entertained.</p>

<p>2. No TA/DA will be paid for appearing in interview.</p>
]]></description>
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  <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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28577/research-associate-computer-sciences-recruitment-in-national-bureau-of-plant-genetic-resources</guid>
  <pubDate>Thu, 28 Jul 2016 04:39:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate (Computer Sciences) recruitment in National Bureau of Plant Genetic Resources]]></title>
  <description><![CDATA[
<p>Research Associate (Computer Sciences) recruitment in National Bureau of Plant Genetic Resources</p>

<p>Project: Indo-UK Centre for improvement of Nitrogen use efficiency in wheat Dr. Soma S. Marla, Pr. Scientist (Bioinformatics), Division of Genomic Resources, ICAR, NBPGR, ND.</p>

<p>Qualification: Ph.D. Degree in Computer Sciences/Bioinformatics OR 1. First class Master’s degree in any discipline of Plant Sciences with specialization in Computer Sciences/ Bioinformatics having 1st division or 60% marks or equivalent overall grade point average with at least two years of research experience as evidenced from Fellowship/ Associate ship. 2. NET qualification is essential for the candidates with 3+2 years B.Sc.+ M.Sc. Desirable: Demonstrated experience &amp; skills in database design, management, UNIX OS, in NGS data analysis. Experience substantiated by publications of high quality will be preferred.</p>

<p>No.of Post: 1</p>

<p>Pay Scale: Rs. 40,000 (Ph.D)/ Rs + 30 % HRA; Rs.38,000 ( Masters Degree 0 + 30 % HRA).</p>

<p>Age Limit : below 40 years for RA position<br />How to apply<br />Applicants for RA post should send their complete CV (Advance copy of the application may be sent by email to :soma.marla@icar.gov.in or ssmarl@yahoo.com, should enclose the copy of the research publications; one page summary of their achievement relevant to the post applied for; and should enclose two reference letters (one must be from the person with whom worked latest). Shortlisted candidate will be intimated for interview by email.</p>

<p>The candidates who wish to attend the walk-in interview are requested to bring with them five copies of the CV (one copy with photograph) as per the format given below. Also, the candidates should bring the original documents such as degree certificates, marks sheets, publications, thesis, experience certificate etc. for verification. </p>

<p>Date of Interview: 17.8.2016.</p>

<p>More at http://www.nbpgr.ernet.in/Downloadfile.aspx?EntryId=7133</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28618/jrf-bioinformatics-at-dpu-india</guid>
  <pubDate>Fri, 05 Aug 2016 03:06:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics at DPU, India]]></title>
  <description><![CDATA[
<p>Advertisement for position of “JRF (Junior Research Fellow)” on DST research project “Molecular modeling and docking studies on Deguelin and its derivatives with cell cycle arrest, apoptosis and anti-angiogenesis pathway proteins in cancer cell signaling pathway”</p>

<p>Applications are invited on plain paper from eligible candidates along with biodata and copies of certificates in support of age, qualification and experience for the following position:</p>

<p>Particulars Description</p>

<p>1. Position &amp; No. JRF (Junior Research Fellow) 01</p>

<p>2. Title of the Project Molecular modeling and docking studies on Deguelin and its derivatives with cell cycle arrest, apoptosis and anti-angiogenesis pathway proteins in cancer cell signaling pathway</p>

<p>3. Tenure 3 years</p>

<p>4. Investigator Dr. K. V.Swamy</p>

<p>5. Institute Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Tathawade, Pune 411033.</p>

<p>5. Qualifications/Eligibility</p>

<p>Essential: NET (National Eligibility Test) qualified M. Sc Bioinformatics/ M. Tech Bioinformatics/M. Sc Biotechnology/M. Tech Biotechnology or Graduate degree in Professional course with NET qualification or Post graduation degree in professional course</p>

<p>The following examinations conducted by various Central Government Departments/Agencies are considered as National Eligibility Test (NET).</p>

<p>1. CSIR-UGC-LS <br />2. GATE (Graduate Aptitude Test in Engineering) <br />3. JAM (Joint Admission Test) <br />4. GPAT (Graduate Pharmacy Aptitude Test) <br />5. BET(Biotechnology Eligibility Test) <br />6. BINC(Bioinformatics National Consortium) <br />7. JEST( Joint Entrance Screening Test) <br />8. JGEEBILS(Joint Graduate Entrance Examination for Biology &amp; Interdisciplinary Life Sciences) <br />9. NBHM Ph.D scholarship Screening Test <br />10. ICMR- JRF Entrance Examination <br />11. AICE (ICAR-All India competitive Examination ) <br />(For all above examinations valid score considered at the time of interview)</p>

<p>Desirable: Knowledge and skills in Bioinformatics tools/ softwares</p>

<p>6. Monthly Emoluments Rs.25,000/ (As per DST-SERB rules)</p>

<p>7. Last date for submission of prescribed application 20/08/2016</p>

<p>Kindly send your applications to “Dr. K. V. Swamy, Asst.Professor, Dr. D. Y. Patil Biotechnology &amp; Bioinformatics Institute, Survey No. 87/88, Mumbai-Pune Express Way, Tathawade, Pune - 411033, Maharashtra, India”. Highlight the envelope with “Application for post of JRF (Junior Research Fellow)”.</p>

<p>Note: No TA/DA will be paid for attending the interview.</p>

<p>Advertisement: http://careers.dpu.edu.in/Biotech.aspx</p>
]]></description>
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	<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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29282/cosmic</guid>
	<pubDate>Sat, 01 Oct 2016 15:04:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29282/cosmic</link>
	<title><![CDATA[COSMIC]]></title>
	<description><![CDATA[<p>The accurate description and annotation of structural variants can be complex. &nbsp;This is due to the different resolution that variants are reported from traditional&nbsp;cytogenetic coordinates down to the actual base pair positions. Furthermore, multiple&nbsp;rearrangements in a single area of the genome can make cataloguing and interpreting&nbsp;their effects challenging.&nbsp;</p>
<p>The Rearrangement Overview page describes the one or more breakpoints which make up a structural&nbsp;variant. A breakpoint is defined as a region or point where the sample sequence has altered&nbsp;from the reference sequence. Minimum interpretation is made of this data. One variant event&nbsp;can consist of one or multiple breakpoints. The Syntax (shown above the table) gives a detailed description of the variant and its location &nbsp;(e.g. chr11:g.36585230_76606619del, a deletion of&nbsp;roughly 40Mb on chromosome 11). Syntax is based on HGVS mutation nomenclature recommendations&nbsp;[http://www.hgvs.org/rec.html].&nbsp;</p>
<p>http://cancer.sanger.ac.uk/cosmic/help/rearrangement/overview</p><p>Address of the bookmark: <a href="http://cancer.sanger.ac.uk/cosmic/help/rearrangement/overview" rel="nofollow">http://cancer.sanger.ac.uk/cosmic/help/rearrangement/overview</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29410/entrez-direct-e-utilities-on-the-unix-command-line</guid>
	<pubDate>Wed, 19 Oct 2016 08:06:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29410/entrez-direct-e-utilities-on-the-unix-command-line</link>
	<title><![CDATA[Entrez Direct: E-utilities on the UNIX Command Line]]></title>
	<description><![CDATA[<p>Entrez Direct (EDirect) is an advanced method for accessing the NCBI's suite of interconnected databases (publication, sequence, structure, gene, variation, expression, etc.) from a UNIX terminal window. Functions take search terms from command-line arguments. Individual operations are combined to build multi-step queries. Record retrieval and formatting normally complete the process.</p>
<p>EDirect also provides an argument-driven function that simplifies the extraction of data from document summaries or other results that are returned in structured XML format. This can eliminate the need for writing custom software to answer ad hoc questions. Queries can move seamlessly between EDirect commands and UNIX utilities or scripts to perform actions that cannot be accomplished entirely within Entrez.</p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/books/NBK179288/" rel="nofollow">https://www.ncbi.nlm.nih.gov/books/NBK179288/</a></p>]]></description>
	<dc:creator>Anjana</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29576/impute2</guid>
	<pubDate>Thu, 27 Oct 2016 11:21:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29576/impute2</link>
	<title><![CDATA[IMPUTE2]]></title>
	<description><![CDATA[<p><strong>IMPUTE2</strong>&nbsp;is a computer program for phasing observed genotypes and imputing missing genotypes. Most people use just a couple of the program's basic functions, but we have also built up a collection of specialized and powerful options. If you are new to&nbsp;<strong>IMPUTE2</strong>, or indeed to phasing and imputation in general, we suggest that you start by learning the basics.</p>
<p>You should begin by downloading the program from&nbsp;<a href="https://mathgen.stats.ox.ac.uk/impute/impute_v2.html#download">here</a>. You will need to choose the link that matches your computing platform and then follow the instructions for opening the download package.</p>
<p>Once you have done this, you will be ready to try some example analyses on the test data that are provided with the download. The section on&nbsp;<a href="https://mathgen.stats.ox.ac.uk/impute/impute_v2.html#examples">Examples</a>&nbsp;shows how to use the most common&nbsp;<strong>IMPUTE2</strong>&nbsp;functions. We suggest that you work through these examples and try to understand what the elements of each command are doing. If you don't understand something or would like to know if the program can perform a function that isn't listed, you can read our&nbsp;<a href="https://mathgen.stats.ox.ac.uk/impute/impute_v2.html#faq">FAQ</a>&nbsp;or submit a question to our&nbsp;<a href="https://mathgen.stats.ox.ac.uk/impute/impute_v2.html#mail_list">mail list</a>.</p>
<p>When you have learned the basic functionality of the program, you can use several features of this website to prepare your own analysis:</p>
<ul>
<li>Learn about&nbsp;<a href="https://mathgen.stats.ox.ac.uk/impute/impute_v2.html#best_practices">best practices</a>&nbsp;for imputation.</li>
<li>Download&nbsp;<a href="https://mathgen.stats.ox.ac.uk/impute/impute_v2.html#reference">reference data</a>&nbsp;that you can use to impute genotypes in your study.</li>
<li>Look through a complete list of&nbsp;<a href="https://mathgen.stats.ox.ac.uk/impute/impute_v2.html#options">program options</a>.</li>
</ul><p>Address of the bookmark: <a href="https://mathgen.stats.ox.ac.uk/impute/impute_v2.html" rel="nofollow">https://mathgen.stats.ox.ac.uk/impute/impute_v2.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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