<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/41493?offset=290</link>
	<atom:link href="https://bioinformaticsonline.com/related/41493?offset=290" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/8970/j-aires-de-sousa-research-group</guid>
  <pubDate>Wed, 12 Mar 2014 09:57:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[J. Aires de Sousa Research Group]]></title>
  <description><![CDATA[
<p>We are involved in the development of methods and software in chemoinformatics. Current main projects are:</p>

<p>1.automatic learning of chemical reactivity and metabolism,<br />2.simulation of NMR spectra,<br />3.modelling of properties of ionic liquids, and<br />4.representation of molecular chirality.</p>

<p>More at http://joao.airesdesousa.com/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/10394/bioinformatics-protocols</guid>
	<pubDate>Mon, 05 May 2014 10:21:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/10394/bioinformatics-protocols</link>
	<title><![CDATA[Bioinformatics Protocols]]></title>
	<description><![CDATA[<h2><span> RNA Seq </span></h2>
<p><strong> Basic Galaxy Tutorial </strong></p>
<ul>
<li><a href="https://docs.google.com/document/pub?id=1KbTiBHtvHLfPRZ39AY3uriazrINA8TJzgjjwn1zPP7Y">RNA-Seq tutorial</a> based on <a href="http://www.nature.com/protocolexchange/protocols/2327">Trapnell et al. (2012)</a> <em>Nature Protocols</em></li>
</ul>
<dl><dd>In this tutorial we cover the concepts of <a href="http://en.wikipedia.org/wiki/RNA-Seq">RNA-Seq</a> differential gene expression (DGE) analysis using a very small synthetic dataset from a well studied organism.</dd></dl>
<p><strong> Advanced Galaxy Tutorial </strong></p>
<ul>
<li><a href="https://docs.google.com/document/d/1fQ1XfeOKhezJUDTzMXtZVY20c3RGoHe-HLvFOGzqU4s/pub">RNA-Seq (Advanced) Tutorial</a></li>
</ul>
<dl><dd>In this tutorial we compare the performance of three statistically-based differential expression tools:</dd><dd>* CuffDiff</dd><dd>* EdgeR</dd><dd>* DESeq2</dd></dl>
<p><strong> Advanced Command Line Tutorial </strong></p>
<ul>
<li><a href="https://docs.google.com/document/d/1ayJXtgBP1OXtnV7o7lq4QHKMNk5SdPHFq4hGkqndBtI/pub">Graphical Output with CummeRbund</a> introduces some basic commands using the cummeRbund package of the R programming language</li>
</ul>
<dl><dd>You will need to install R, RStudio and cummeRbund on your PC (explained in the Tutorial). You will learn how to produce graphical output from RNA-Seq analysis previously done using a Cuffdiff analysis.</dd></dl>
<h2><span> Variant Detection </span></h2>
<p><strong> Basic Galaxy Tutorial </strong></p>
<ul>
<li><a href="https://docs.google.com/document/pub?id=1ZRzrjjOCvtAu3m-IKL-rbJ1f4On60dDL_IEwG7oejdI">Variant Detection tutorial</a></li>
</ul>
<dl><dd>In this tutorial we cover the concepts of detecting small variants (SNVs and indels) in human genomic DNA using a small set of reads from chromosome 22.</dd></dl>
<p><strong>Advanced Galaxy Tutorial</strong></p>
<ul>
<li><a href="https://docs.google.com/document/pub?id=1CuKkKylVDb03tnN7RSWl5EUzleetn0ctjmvaidPKLxM">Variant Detection (Advanced) Tutorial</a></li>
</ul>
<dl><dd>In this tutorial we compare the performance of three statistically-based variant detection tools:</dd><dd>* SAMtools: Mpileup</dd><dd>* GATK: Unified Genotyper</dd><dd>* FreeBayes</dd><dd>Each of these tools takes as its input a BAM file of aligned reads and generates a list of likely variants in VCF format</dd></dl>
<p><strong>Pipelines</strong> are for those who are comfortable with using the UNIX command line; and often allow more control over branching and iteration logic.</p>
<ul>
<li><a href="https://github.com/claresloggett/variant_calling_pipeline">WGS/exome GATK-based variant calling pipeline</a></li>
</ul>
<dl><dd>This is a basic variant-calling and annotation pipeline developed at the Victorian Life Sciences Computation Initiative (VLSCI), University of Melbourne. It is based around BWA, GATK and ENSEMBL and was originally designed for human (or similar) data. The master branch is configured for WGS data; there is an exome branch configured for variant calling in exome data.</dd><dd>To run the pipeline you will need Rubra: <a href="https://github.com/bjpop/rubra">https://github.com/bjpop/rubra</a>. Rubra uses the python Ruffus library: <a href="http://www.ruffus.org.uk/">http://www.ruffus.org.uk/</a>.</dd></dl>
<p><strong>Protocols</strong></p>
<ul>
<li><a href="https://docs.google.com/document/d/1lfDYNzHjfDA1pHTHd-0w3xHhg7L4TipT1gRfzgiV8es/pub">Familial Variant Calling</a></li>
</ul>
<dl><dd>In this protocol we discuss and outline the process of calling familial related mutations.</dd></dl>
<ul>
<li><a href="https://docs.google.com/document/d/1PIhm8NrFGaSK0hxpDcp8wUOz11ZkOaHIrpnJshMgDec/pub">Somatic Variant Calling</a></li>
</ul>
<dl><dd>In this protocol we discuss and outline the process of identifying somatic variants or mutations.</dd></dl>
<h2><span> Assembly </span></h2>
<p><strong> Basic Galaxy Tutorial </strong></p>
<ul>
<li><a href="https://docs.google.com/document/pub?id=1N3AB9ptISUu4zULqe1kXpVF0BDyGb5f5yzxWSJd_WNM">Genome assembly tutorial</a></li>
</ul>
<dl><dd>In this tutorial we carry out de novo assembly of a microbial genome. We have also written a <a href="https://docs.google.com/document/d/1xs-TI5MejQARqo0pcocGlymsXldwJbJII890gnmjI0o/pub">De novo Genome Assembly for Illumina Data</a> Protocol for a more generic description of the method.</dd></dl>
<p><strong> Protocol </strong></p>
<ul>
<li><a href="https://docs.google.com/document/d/1xs-TI5MejQARqo0pcocGlymsXldwJbJII890gnmjI0o/pub">De novo Genome Assembly for Illumina Data</a></li>
</ul>
<dl><dd>In this protocol we discuss and outline the process of de novo assembly for small to medium sized genomes. Use our <a href="https://docs.google.com/document/pub?id=1N3AB9ptISUu4zULqe1kXpVF0BDyGb5f5yzxWSJd_WNM">Genome assembly tutorial</a> to learn a specific case of using Galaxy to carry out de novo assembly of a microbial genome.</dd></dl>
<h2><span> Small RNAs </span></h2>
<p><strong> Basic Galaxy Tutorial </strong></p>
<ul>
<li><a href="https://docs.google.com/document/d/1WAObJr7M0m8U-2ku-0Y0Sdt_IHmqd1h8WaJHPhnJ1lM/pub">Quality control for small RNA</a></li>
</ul>
<dl><dd>This tutorial covers initial steps of the workflow for analysis of short RNA expression such as a quality control of the raw reads, processing of the raw reads for the subsequent analysis and initial quality assessment of the library.</dd></dl>
<h2><span> ChIP Seq </span></h2>
<p><strong> Protocol </strong></p>
<ul>
<li><a href="https://docs.google.com/document/d/1UPJC8dsiDeP5R9MH9U0IvoDgPF2Q3EOstAuzS3e6WCE/pub">ChIP-Seq</a></li>
</ul>
<dl><dd>In this protocol we discuss ChIP-Seq: a method to analyze the interaction between proteins and DNA.</dd></dl>
<h2><span> Amplicons </span></h2>
<p><strong>Protocol</strong></p>
<ul>
<li><a href="https://docs.google.com/document/d/1uW7JzxG86QzS92hTyeuNsLhX_d1XFbaZPSjh7jWxcSg/pub">Amplicon Alignment</a></li>
</ul>
<dl><dd>In this protocol we discuss and outline the process of aligning custom amplicons using primers for high precision.</dd></dl>
<h2><span> Learn Galaxy </span></h2>
<p><a href="https://docs.google.com/document/d/1wsdJDYfjZVg2uJxm9AHi_j0mY3X1M1F4gB-elkuYL7c/pub">Introduction to Galaxy,</a> for those who are very new to Galaxy.</p>
<p><a href="https://docs.google.com/document/d/1t7vVqa3mdeZYPv5-8hiHBFBYhNiynV_3mWByno9-wUM/pub">Using Histories and Workflows,</a> for those with some Galaxy knowledge.</p>
<p>The Galaxy project website has many <a href="http://wiki.galaxyproject.org/Learn">tutorials</a> and <a href="http://wiki.galaxyproject.org/Learn/Screencasts">screencasts</a> about using Galaxy and the tools, and developing new tools.</p><p>Address of the bookmark: <a href="https://genome.edu.au/wiki/Learn" rel="nofollow">https://genome.edu.au/wiki/Learn</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/11000/professorassociate-professor-assistant-professor-at-chettinad-academy-of-research-and-education</guid>
  <pubDate>Sat, 24 May 2014 00:00:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[Professor/Associate Professor/ Assistant Professor at Chettinad Academy of Research and Education]]></title>
  <description><![CDATA[
<p>OPEN FACULTY POSITION</p>

<p>Chettinad Academy of Research and Education (CARE) invites applications from eligible and translational research-oriented candidates to the posts of Professor/Associate Professor/ Assistant Professor  Computational Biology, Bioinformatics, and Pharmaceutical Chemistry.</p>

<p>Emoluments: As per UGC norms (Adequate Compensation for Postdoctoral/Teaching experience)</p>

<p>Candidates fulfilling the eligibility criteria as per the UGC norms can send their full CV with copies of certificates and reference letters to the following address by post or by e-mail on or before 31st May 2014</p>

<p>The Registrar,<br />Chettinad Academy of Research and Education,<br />Chettinad Health City<br />Kelambakkam, Chennai 603 103<br />Tamil Nadu<br />T +91 (0)44 4741 1000<br />F +91 (0)44 4741 1011<br />Email: jobs @chettinadhealthcity.com</p>

<p>Advertisement: http://182.73.176.163/chc/ads2014.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/11354/genomics-and-personalized-medicine</guid>
	<pubDate>Sun, 01 Jun 2014 23:38:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/11354/genomics-and-personalized-medicine</link>
	<title><![CDATA[Genomics and Personalized Medicine]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/pgHAXCMMcro" frameborder="0" allowfullscreen></iframe>(October 20, 2009) Michael Snyder, Professor of Genetics and Chair of the Department of Genetics at Stanford, discusses advances in gene sequencing, the impact of genomics on medicine, the potential for personalized medicine. and efforts at Stanford to further study these issues.

Stanford Mini Med School is a series arranged and directed by Stanford's School of Medicine, and presented by the Stanford Continuing Studies program. Featuring more than thirty distinguished, faculty, scientists and physicians from Stanford's medical school, the series offers students a dynamic introduction to the world of human biology, health and disease, and the groundbreaking changes taking place in medical research and health care.

Stanford University
http://www.stanford.edu

Stanford University School of Medicine
http://med.stanford.edu

Stanford Continuing Studies
http://continuingstudies.stanford.edu

Stanford University Channel on YouTube:
http://www.youtube.com/stanford]]></description>
	
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/12111/internship-program-with-arraygen-technolgies</guid>
  <pubDate>Sun, 22 Jun 2014 23:18:31 -0500</pubDate>
  <link></link>
  <title><![CDATA[Internship program with ArrayGen Technolgies]]></title>
  <description><![CDATA[
<p>Internship Program for Bioinformatics / Biotechnology Professionals Currently we offer positions to outstanding students interested in Next Generation Sequencing (NGS) data analysis. Applications are accepted throughout the year. Accepted students will be listed on web with their schedules. Accepted students can attend our future workshops and trainings freely at the specified venue.</p>

<p>Interested candidates may email their resume along with a cover letter to careers@arraygen.com</p>

<p>Official website: http://www.arraygen.com/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/14003/jrf-position-in-the-faculty-of-life-sciences-biotechnology-at-sauth-asian-university</guid>
  <pubDate>Wed, 13 Aug 2014 07:16:30 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF position in the Faculty of Life Sciences &amp; Biotechnology at  Sauth Asian University]]></title>
  <description><![CDATA[
<p>Opening for a Project-JRF position in the Faculty of Life Sciences &amp; Biotechnology</p>

<p>Applications are invited for the post of Junior Research Fellow (JRF) in a DBT funded IYBA project entitled “Generatingaprotein-ncRNA interactome for Dorsal mediated gene regulation and dorso-ventral patterning genes in Drosophila” in the Lab. Of Molecular Biology at the Faculty of Life Sciences and Biotechnology, South Asian University, New Delhi. The project requires extensive use of molecular, genetic and genomic approaches.</p>

<p>POST: Junior Research Fellow (JRF)</p>

<p>NO. OF VACANCIE(S) - (01)</p>

<p>FELLOWSHIP: Rs. 16,000/- plus HRA</p>

<p>PROJECT DURATION: 2014-2016 (Two years)</p>

<p>LAST DATE FOR APPLICATION: Aug 18, 2014.</p>

<p>Eligibility criteria:</p>

<p>M.Sc./M.Tech./ in Biological Sciences/Biotechnology/Bio-Informatics. Candidates with research experience in the field of Drosophila/Yeast genetics will be preferred.</p>

<p>Application Procedure:</p>

<p>A covering letter along with your CV, copy of prior publications (if any) and proof of experience should be e-mailed to lmb_sau@aol.com. Hardcopy of the application should be brought on the day of interview along with other testimonials and marks statements for verification purpose.</p>

<p>IMPORTANT NOTE:</p>

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

<p>-SAU may select candidates against the post depending upon qualification and experience of candidates and reserves the right to relax any of the qualifications in case the candidate is found otherwise well qualified by the Selection Committee</p>

<p>-The abovementioned post is temporary and will be initially offered for a period of one year and can be extended, on satisfactory performance. </p>

<p>More at http://www.sau.ac.in/recruitment/vacancy.html</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/16160/research-scientist-%E2%80%93-bioinformatics-at-sidra-medical-and-research-center</guid>
  <pubDate>Wed, 10 Sep 2014 14:35:35 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Scientist – Bioinformatics at Sidra Medical and Research Center]]></title>
  <description><![CDATA[
<p>Sidra Medical and Research Center(Doha, Qatar) is looking for talented Research Scientists (Bioinformatics / NGS Data Analysis).</p>

<p>Research Scientists within the Bioinformatics Program are involved in research related to cutting edge genomics and analysis of omics data. The research will utilize concepts, theories and best practices obtained from bioinformatics discipline and applied to biological and other biomedical data for analysis. The role may also involve designing databases, algorithm and/or computation methods for analyzing genomics and other omics data.  The scientist will be working closely with the Translational Medicine Program within a state-of-the art research setting.</p>

<p>Please check the details of the opening and apply here: http://careers.sidra.org/sidra/Vacan...acancyID=60181</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/18382/google-genomics</guid>
	<pubDate>Fri, 17 Oct 2014 02:14:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/18382/google-genomics</link>
	<title><![CDATA[Google Genomics]]></title>
	<description><![CDATA[<p>Google Genomics provides an API to store, process, explore, and share DNA sequence reads, reference-based alignments, and variant calls, using Google's cloud infrastructure.</p>
<ul>
<li><strong>Store</strong> alignments and variant calls for one genome or a million.</li>
<li><strong>Process</strong> genomic data in batch by running principal component analysis or Hardy-Weinberg equilibrium, in minutes or hours, by using parallel computing frameworks like MapReduce.</li>
<li><strong>Explore</strong> data by slicing alignments and variants by genomic range across one or multiple samples -- for your own algorithms or for visualization; or interactively process entire cohorts to find transition/transversion ratios, allelic frequency, genome-wide association and more using BigQuery.</li>
<li><strong>Share</strong> genomic data with your research group, collaborators, the broader community, or the public. You decide.</li>
</ul>
<p>Google Genomics is implementing the API defined by the <a href="http://genomicsandhealth.org/">Global Alliance for Genomics and Health</a> for visualization, analysis and more. Compliant software can access Google Genomics, local servers, or any other implementation.</p><p>Address of the bookmark: <a href="https://cloud.google.com/genomics/" rel="nofollow">https://cloud.google.com/genomics/</a></p>]]></description>
	<dc:creator>Reshma Khatun</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/18580/faculty-positions-at-central-university-of-punjab-bathinda</guid>
  <pubDate>Wed, 22 Oct 2014 10:45:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[Faculty Positions at CENTRAL UNIVERSITY OF PUNJAB, BATHINDA]]></title>
  <description><![CDATA[
<p>Advertisement No. T/NT-01 (2014)</p>

<p>Faculty Positions<br />The Central University of Punjab (CUP), Bathinda will be having the Schools and Departments as given in Table-I. The University invites applications from eligible candidates for the posts of Professors (Pay Band Rs. 37400-67000 with AGP of Rs. 10, 000/-), Associate Professors (Pay Band Rs.37400-67000 with AGP of Rs. 9,000/-) and Assistant Professors (Pay Band Rs.15600-39100 with AGP of Rs. 6,000/-)</p>

<p>POSITION AVAILABLE IN THE AREA OF SPECIALIZTION</p>

<p>3. Bioinformatics,</p>

<p>Procedure to apply: Application forms along with API form complete in all respect along with necessary documents and application fee of Rs. 750/-. (Rs. 250/- for Scheduled Caste/Scheduled Tribe/Person with disabilities) should be sent to:</p>

<p>Registrar (Officiating)<br />Central University of Punjab<br />City Campus, Mansa Road<br />Bathinda-151 001</p>

<p>Application forms from the prospective candidates are accepted upto November 10, 2014.</p>

<p>Based on the qualification of the candidates and the need of the university, the applications received will be processed through appropriately constituted selection committees shortly. Minimum qualification can be relaxed in case of exceptionally outstanding candidate. For further details visit www.cup.ac.in; www.centralunipunjab.com; www.cup.edu.in</p>

<p>The candidate should download the application form available at website www.cup.ac.in;<br />www.centralunipunjab.com; and submit it complete in all respects on or before 10th November 2014.</p>

<p>Those who have applied earlier need to submit Academic Performance Index (API) form, 5 copies of Summary of the Application Form (available at: www.cup.ac.in; www.centralunipunjab.com and Updated CV if not updated recently (without application fee).</p>

<p>http://cup.edu.in/Faculty_details_and_general_instructions.pdf</p>

<p>http://cup.edu.in/Final%20Application%20and%20summary%20Sheet%20and%20Api%20form.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/19979/zhang-lab</guid>
  <pubDate>Sun, 28 Dec 2014 12:43:08 -0600</pubDate>
  <link></link>
  <title><![CDATA[Zhang Lab]]></title>
  <description><![CDATA[
<p>We develop and use integrative bioinformatics approaches to extract biological meanings from experimental data and generate hypotheses for experimental validation. Please explore our website to learn more about our people and our research.</p>

<p>More at http://bioinfo.vanderbilt.edu/zhanglab/</p>
]]></description>
</item>

</channel>
</rss>