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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/926?offset=330</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26335/ra-at-central-university-of-rajasthan</guid>
  <pubDate>Tue, 09 Feb 2016 03:53:35 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA at Central University of Rajasthan]]></title>
  <description><![CDATA[
<p>Research Fellow Bioinformatics</p>

<p>Eligibility : MSc(Bio-Chemistry, Bio-Informatics, Bio-Tech)</p>

<p>Location : Ajmer</p>

<p>Last Date : 13 Feb 2016</p>

<p>Hiring Process : Face to Face Interview<br />Central University of Rajasthan</p>

<p>Research Fellow Job vacancies in Central University of Rajasthan</p>

<p>Project Title : “Development of natural product derived febrifugine ananlogues as a novel therapeutics against visceral leishmaniasis”</p>

<p>No. of Post : 01</p>

<p>Qualification : Master of Biochemistry, Biotechnology, Bioinformatics and related biological sciences with minimum 55%, Age limit as per government rule.</p>

<p>Desirable Experience : Candidates with experience in cell culture, Chemoinformatics, and Parasitology will be preferred.    </p>

<p>Fellowship : Rs. 25,000/- p.m. consolidated for NET qualified (14,000/- p.m. consolidated for Non-NET)<br />How to apply</p>

<p>The candidates may apply on a plain paper, along with their curriculum vitae (including name, date of birth, academic qualification starting from 10th class, summary of research experience, email id, phone number and passport size photograph) and email to vkprajapati@curaj.ac.in or post the hard copy to the Dr. Vijay Kumar Prajapati PI, DST-SERB Project (YSS/2015/000716), Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Dist- Ajmer, Rajasthan, 305 817 on or before 13th February 2016.</p>

<p>More at http://www.curaj.ac.in/Default.aspx?PageId=241</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26375/ncbi-remap</guid>
	<pubDate>Thu, 11 Feb 2016 11:02:26 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26375/ncbi-remap</link>
	<title><![CDATA[NCBI Remap]]></title>
	<description><![CDATA[<p><span><span><strong>NCBI Remap</strong>. This tool is conceptually similar to liftOver in that in manages conversions between a pair of genome assemblies but it uses different methods to achieve these mappings. It is also available through a simple <a href="http://www.ncbi.nlm.nih.gov/genome/tools/remap">web interface</a> or you can use the <a href="http://www.ncbi.nlm.nih.gov/genome/tools/remap/docs/api">API for NCBI Remap</a>.</span></span></p>
<p><span><span>More at http://www.ncbi.nlm.nih.gov/genome/tools/remap</span></span></p>
<p><span><span>API http://www.ncbi.nlm.nih.gov/genome/tools/remap/docs/api</span></span></p><p>Address of the bookmark: <a href="http://www.ncbi.nlm.nih.gov/genome/tools/remap" rel="nofollow">http://www.ncbi.nlm.nih.gov/genome/tools/remap</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/26390/przeworski-lab</guid>
  <pubDate>Mon, 15 Feb 2016 05:41:54 -0600</pubDate>
  <link></link>
  <title><![CDATA[Przeworski lab]]></title>
  <description><![CDATA[
<p>Genetic differences among individuals reflect the combined effects of mutation, recombination, population history and natural selection. As a result, studies of natural variation can provide important insights into evolutionary and genetic mechanisms: as examples, DNA sequence conservation among distantly related species can help identify functional roles too subtle to be detected in lab settings, while analyses of population variation allow for inferences about events that are too infrequent to be measured directly. Our research employs this general approach to learn about the dynamics of adaptation and the determinants of recombination and mutation, in humans and in other species.</p>

<p>More at http://przeworski.c2b2.columbia.edu/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26424/biotoolbox</guid>
	<pubDate>Fri, 19 Feb 2016 09:14:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26424/biotoolbox</link>
	<title><![CDATA[BioToolbox]]></title>
	<description><![CDATA[<p>This is a collection of libraries and high-quality end-user scripts for bioinformatic analysis, including working with gene annotation, collecting data scores from a variety of modern file formats, and conversion between file formats. The Bio::ToolBox libraries provide a unified, abstracted interface to multiple common gene annotation formats and the collection of data from multiple data files. They rely on BioPerl SeqFeature libraries and related adaptors to access binary file formats including Bam, BigWig, BigBed, and USeq. The Bio::ToolBox package includes scripts for setting up databases of annotation, collecting annotated features, collecting genomic data relative to features, manipulating and analyzing data, and data format conversion.</p>
<p>More at http://cpansearch.perl.org/src/TJPARNELL/</p><p>Address of the bookmark: <a href="http://cpansearch.perl.org/src/TJPARNELL/" rel="nofollow">http://cpansearch.perl.org/src/TJPARNELL/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26439/ra-at-icar-indian-institute-of-oilseeds-research</guid>
  <pubDate>Mon, 22 Feb 2016 05:21:34 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA at ICAR - INDIAN INSTITUTE OF OILSEEDS RESEARCH]]></title>
  <description><![CDATA[
<p>ICAR - INDIAN INSTITUTE OF OILSEEDS RESEARCH</p>

<p>HYDERABAD-500030</p>

<p>F.No. 5-42/2016/Rectt.</p>

<p>WALK IN INTERVIEW</p>

<p>Eligible candidates are invited to attend Walk in Interview to fill up the (purely) temporary post of Junior Research Fellow (One) under Extramural Research Project entitled “Transcriptome and proteome analysis for identification of candidate genes responsible for pistillate nature in castor “ to be held on 04.03.2016 at 11.00 AM at ICAR – Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad. The tenure of the project is up to 31.03.2017. The requirement and other terms and conditions for the Junior Research Fellow are as under :-</p>

<p>Junior Research Fellow (One)</p>

<p>    Nucleic acid isolations, molecular analysis, bioinformatic analysis</p>

<p>    .M.Sc.Biotechnology/Bioinformatics</p>

<p>    Post Graduation in Life Sciences.</p>

<p>    Candidates having Post Graduate degree in Basic Sciences with 3 years Bachelor’s degree and 2 years Master’s Degree 1,2,3 should have NET qualification.</p>

<p>    Experience in Plant Biotechnology and Bioinformatics</p>

<p>    Rs.25000/- + 30% HRA per month (At present)</p>

<p>More Info : http://icar-iior.org.in/media/docs/employment/2016/jrf-int.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26537/destruct</guid>
	<pubDate>Mon, 29 Feb 2016 17:34:59 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26537/destruct</link>
	<title><![CDATA[destruct]]></title>
	<description><![CDATA[<p>Destruct is a tool for joint prediction of rearrangement breakpoints from single or multiple tumour samples.</p>
<p>More at&nbsp;https://bitbucket.org/dranew/destruct</p><p>Address of the bookmark: <a href="https://bitbucket.org/dranew/destruct" rel="nofollow">https://bitbucket.org/dranew/destruct</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26571/pattern-searching-in-a-single-genome</guid>
	<pubDate>Mon, 07 Mar 2016 05:02:51 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26571/pattern-searching-in-a-single-genome</link>
	<title><![CDATA[Pattern Searching in a Single Genome]]></title>
	<description><![CDATA[<p>Pattern searching holds much importance for biologists , for the understanding of DNA ( and its functionality) can be more than a matter of satisfying curiosity , but also give answers to many issuess uchas medical conditions . However,there are a number of ways of searching with in a single chromosome.</p><p>Address of the bookmark: <a href="https://www.stats.ox.ac.uk/__data/assets/pdf_file/0018/5373/LintonFinalReport.pdf" rel="nofollow">https://www.stats.ox.ac.uk/__data/assets/pdf_file/0018/5373/LintonFinalReport.pdf</a></p>]]></description>
	<dc:creator>Aasha</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26627/scientist-computational-genomics-two-positions</guid>
  <pubDate>Sat, 12 Mar 2016 18:07:56 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist - Computational Genomics (Two Positions)]]></title>
  <description><![CDATA[
<p>ICRISAT is a non-profit, non-political organization that conducts agricultural research for development in Asia and sub-Saharan Africa with a wide array of partners throughout the world. Covering 6.5 million square kilometers of land in 55 countries, the semi-arid tropics is home to over 2 billion people, with 650 million of these being the poorest of the poor. ICRISAT and its partners help empower those living in the semi-arid tropics, especially smallholder farmers, to overcome poverty, hunger, malnutrition and a degraded environment through more efficient and profitable agriculture.</p>

<p>ICRISAT is headquartered in Patancheru near Hyderabad, India, with two regional hubs and five country offices in sub-Saharan Africa. ICRISAT, established in 1972, is a member of the CGIAR Consortium. For more details, see www.icrisat.org.</p>

<p>Responsibilities:Design efficient SQL queries for pulling large sequencing projects.<br />Serve as a technical adviser to the project leadership and provide computational perspective on product design and deliverability.<br />Develop and oversee a rapid and incremental software development and release schedule.<br />Design the software architecture, oversee the implementation and evolution of the design on appropriate hardware platforms.<br />Working collaboratively in a team environment to design, code, test, debug, and document programs for an integrated genomic analysis pipeline in a rapid and incremental software development and release schedule.<br />Supervise and review code development and ensure that software products meet project objectives in terms of functionality, scalability, robustness and user experience.<br />Implement and oversee the QA/QC practices to ensure the development team is adhering to quality standards.<br />Work closely with the application specialist to integrate feedbacks from teams in each CGIAR center into software customization and improvement.<br />Assist in training of breeders in the CGIAR centers to use software developed.<br /> Personal Profile:</p>

<p>The applicant should have:</p>

<p>Understanding of genomics data and advanced knowledge of Java, and C/C++ as the programming languages and any of the scripting language like perl and/or Python, SQL<br />High Performance Computing, data architecture, database platforms and QA/QC practices in software engineering.<br />She/he should have solid experience in software development projects, preferably as a senior programmer or in the software project management role, and in projects involving big data.<br />Excellent communication skills are needed to work in this multi-disciplinary, multi-location and multi-cultural team.<br />Ability to mentor colleagues in quality software development practices is desired.<br />Educational Qualification : Ph. D or Masters Degree in Computational Biology / Computational Genomics or Equivalent with Research Experience in Mentioned Areas.</p>

<p>More at http://www.icrisat.org/careers/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26752/rna-seq-de-novo-assembly-using-trinity</guid>
	<pubDate>Wed, 23 Mar 2016 05:53:46 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26752/rna-seq-de-novo-assembly-using-trinity</link>
	<title><![CDATA[RNA-Seq De novo Assembly Using Trinity]]></title>
	<description><![CDATA[<p>Trinity, developed at the <a href="http://www.broadinstitute.org">Broad Institute</a> and the <a href="http://www.cs.huji.ac.il">Hebrew University of Jerusalem</a>, represents a novel method for the efficient and robust de novo reconstruction of transcriptomes from RNA-seq data. Trinity combines three independent software modules: Inchworm, Chrysalis, and Butterfly, applied sequentially to process large volumes of RNA-seq reads. Trinity partitions the sequence data into many individual de Bruijn graphs, each representing the transcriptional complexity at at a given gene or locus, and then processes each graph independently to extract full-length splicing isoforms and to tease apart transcripts derived from paralogous genes. Briefly, the process works like so:</p>
<ul>
<li>
<p><em>Inchworm</em> assembles the RNA-seq data into the unique sequences of transcripts, often generating full-length transcripts for a dominant isoform, but then reports just the unique portions of alternatively spliced transcripts.</p>
</li>
<li>
<p><em>Chrysalis</em> clusters the Inchworm contigs into clusters and constructs complete de Bruijn graphs for each cluster. Each cluster represents the full transcriptonal complexity for a given gene (or sets of genes that share sequences in common). Chrysalis then partitions the full read set among these disjoint graphs.</p>
</li>
<li>
<p><em>Butterfly</em> then processes the individual graphs in parallel, tracing the paths that reads and pairs of reads take within the graph, ultimately reporting full-length transcripts for alternatively spliced isoforms, and teasing apart transcripts that corresponds to paralogous genes.</p>
</li>
</ul>
<p>More at https://github.com/trinityrnaseq/trinityrnaseq/wiki</p>
<p>......................................................................................................................................</p>
<p>Download Trinity <a href="https://github.com/trinityrnaseq/trinityrnaseq/releases">here</a>.</p>
<p>Build Trinity by typing 'make' in the base installation directory.</p>
<p>Assemble RNA-Seq data like so:</p>
<pre><code> Trinity --seqType fq --left reads_1.fq --right reads_2.fq --CPU 6 --max_memory 20G 
</code></pre>
<p>Find assembled transcripts as: 'trinity_out_dir/Trinity.fasta'</p><p>Address of the bookmark: <a href="https://github.com/trinityrnaseq/trinityrnaseq/wiki" rel="nofollow">https://github.com/trinityrnaseq/trinityrnaseq/wiki</a></p>]]></description>
	<dc:creator>Surabhi Chaudhary</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26850/wellcome-trustdbt-india-alliance-margdarshi-fellowships-2016</guid>
  <pubDate>Tue, 29 Mar 2016 17:47:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Wellcome Trust/DBT India Alliance Margdarshi Fellowships 2016]]></title>
  <description><![CDATA[
<p>The Wellcome Trust/DBT India Alliance invites application for the Margdarshi Fellowship scheme. The scheme provides a unique opportunity for visionary biomedical scientists to lead and nucleate a cutting edge research program in India in collaboration with Indian Host Institution(s). The potential candidates and the Host Institution are encouraged to make a synergistic effort towards establishing a centre of excellence that aims to improve the existing scientific breadth and utilizes the experience of the lead applicant for developing new research platforms. In addition to this, under this programme two eligible Indian institutions may also come together towards creating a new program under the leadership of a visionary scientist.</p>

<p>Eligibility</p>

<p>Interested applicants must</p>

<p>Have around 10 years of experience as independent investigator, and can be of any age or nationality<br />Have Sponsor(s) at not-for-profit Host Institution(s) in India, who is willing to extend the desired commitment and resources for program implementation<br />Provisions</p>

<p>The 5 year Fellowship provides</p>

<p>Generous personal support for the Fellow<br />Salary support for personnel, which may include Assistant Professors<br />Large quantum of funds for equipment, animals and consumables<br />Funds to attend scientific gatherings, for collaborative visits and to organize meetings<br />Overheads for the Host Institution<br />Process</p>

<p>A joint online application is invited from the Applicant and the Sponsor(s). The details of the scheme and the funding mechanism are available on the website at http://wellcomedbt.org/fellowshiptype/margdarshi-fellowships.</p>

<p>Application form can be accessed at https://fellowships.wellcomedbt.org/Login.aspx</p>

<p>Sponsored applications due by 2 May 2016</p>

<p>Send your inquiries to margdarshi@wellcomedbt.org</p>
]]></description>
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