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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/26993?offset=1230</link>
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<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/37233/rna-seq-analysis-workshop-course-materials</guid>
	<pubDate>Tue, 03 Jul 2018 08:14:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37233/rna-seq-analysis-workshop-course-materials</link>
	<title><![CDATA[RNA-seq Analysis Workshop Course Materials]]></title>
	<description><![CDATA[RNAseq can be roughly divided into two "types":

Reference genome-based - an assembled genome exists for a species for which an RNAseq experiment is performed. It allows reads to be aligned against the reference genome and significantly improves our ability to reconstruct transcripts. This category would obviously include humans and most model organisms but excludes the majority of truly biologically intereting species (e.g., Hyacinth macaw);

Reference genome-free - no genome assembly for the species of interest is available. In this case one would need to assemble the reads into transcripts using de novo approaches. This type of RNAseq is as much of an art as well as science because assembly is heavily parameter-dependent and difficult to do well.
In this lesson we will focus on the Reference genome-based type of RNA seq.

http://chagall.med.cornell.edu/RNASEQcourse/<p>Address of the bookmark: <a href="http://chagall.med.cornell.edu/RNASEQcourse/" rel="nofollow">http://chagall.med.cornell.edu/RNASEQcourse/</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/bookmarks/view/37502/alignqc-a-tool-for-assessing-an-alignment-and-generating-reports-that-are-easy-to-share</guid>
	<pubDate>Tue, 07 Aug 2018 04:41:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37502/alignqc-a-tool-for-assessing-an-alignment-and-generating-reports-that-are-easy-to-share</link>
	<title><![CDATA[AlignQC: A tool for assessing an alignment, and generating reports that are easy to share]]></title>
	<description><![CDATA[<p><span>Long read alignment analysis. Generate a reports on sequence alignments for mappability vs read sizes, error patterns, annotations and rarefraction curve analysis. The most basic analysis only requires a BAM file, and outputs a web browser compatible xhtml to visualize/share/store/extract analysis results.</span></p>
<p>https://f1000research.com/articles/6-100/</p>
<p>https://github.com/jason-weirather/AlignQC</p><p>Address of the bookmark: <a href="https://www.healthcare.uiowa.edu/labs/au/AlignQC/" rel="nofollow">https://www.healthcare.uiowa.edu/labs/au/AlignQC/</a></p>]]></description>
	<dc:creator>Jit</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/37993/platypus-a-haplotype-based-variant-caller-for-next-generation-sequence-data</guid>
	<pubDate>Thu, 25 Oct 2018 06:14:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37993/platypus-a-haplotype-based-variant-caller-for-next-generation-sequence-data</link>
	<title><![CDATA[Platypus: A Haplotype-Based Variant Caller For Next Generation Sequence Data]]></title>
	<description><![CDATA[<p><strong>Platypus</strong><span>&nbsp;is a tool designed for efficient and accurate variant-detection in high-throughput sequencing data. By using local realignment of reads and local assembly it achieves both high sensitivity and high specificity. Platypus can detect SNPs, MNPs, short indels, replacements and (using the assembly option) deletions up to several kb. It has been extensively tested on&nbsp;</span><a href="http://www.ncbi.nlm.nih.gov/pubmed/?term=24463883">whole-genome</a><span>,&nbsp;</span><a href="http://www.nature.com/ng/journal/v45/n1/abs/ng.2492.html">exon-capture</a><span>, and&nbsp;</span><a href="http://www.nature.com/nature/journal/v493/n7432/abs/nature11725.html">targeted capture</a><span>&nbsp;data, it has been run on very large datasets as part of the&nbsp;</span><a href="http://www.1000genomes.org/">Thousand Genomes</a><span>&nbsp;and WGS500 projects, and is being used in clinical sequencing trials in the&nbsp;</span><a href="http://www.mcgprogramme.com/">Mainstreaming Cancer Genetics</a><span>&nbsp;programme.&nbsp;</span></p>
<p><span>Tutorial&nbsp;https://github.com/andyrimmer/Platypus/blob/master/misc/README.txt</span></p><p>Address of the bookmark: <a href="http://www.well.ox.ac.uk/platypus" rel="nofollow">http://www.well.ox.ac.uk/platypus</a></p>]]></description>
	<dc:creator>Shruti Paniwala</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/bookmarks/view/39441/snakepipes-a-toolkit-based-on-snakemake-and-python-for-analysis-of-ngs-data</guid>
	<pubDate>Thu, 30 May 2019 04:06:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39441/snakepipes-a-toolkit-based-on-snakemake-and-python-for-analysis-of-ngs-data</link>
	<title><![CDATA[snakepipes: A toolkit based on snakemake and python for analysis of NGS data]]></title>
	<description><![CDATA[<p><span><span>snakePipes are flexible and powerful workflows built using&nbsp;</span><a href="https://github.com/maxplanck-ie/snakepipes/blob/master/snakemake.readthedocs.io">snakemake</a><span>&nbsp;that simplify the analysis of NGS data.</span></span></p>
<ul>
<li>DNA-mapping*</li>
<li>ChIP-seq*</li>
<li>RNA-seq*</li>
<li>ATAC-seq*</li>
<li>scRNA-seq</li>
<li>Hi-C</li>
<li>Whole Genome Bisulfite Seq/WGBS</li>
</ul>
<p><span>(*Also available in "allele-specific" mode)</span></p>
<p><span>snakePipes can be installed via conda : </span></p>
<p><span>'conda install -c mpi-ie -c bioconda -c conda-forge snakePipes'. </span></p>
<p><span>Source code (</span><a href="https://github.com/maxplanck-ie/snakepipes" target="">https://github.com/maxplanck-ie/snakepipes</a><span>) and documentation (</span><a href="https://snakepipes.readthedocs.io/en/latest/" target="">https://snakepipes.readthedocs.io/en/latest/</a><span>) are available online.</span></p><p>Address of the bookmark: <a href="https://github.com/maxplanck-ie/snakepipes" rel="nofollow">https://github.com/maxplanck-ie/snakepipes</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23403/bioinformatics-project-assistant-at-vector-control-research-centre-vcrc-puducherry</guid>
  <pubDate>Sun, 19 Jul 2015 19:22:07 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Project Assistant at Vector Control Research Centre (VCRC), Puducherry.]]></title>
  <description><![CDATA[
<p>Applications are invited upto 27.07.2015 for filling up of one post of Project Assistant (UNRESERVED) to work under ICMR funded Non-Institutional adhoc project entitled “Biomedical Informatics centre’s of ICMR” at Vector Control Research Centre (VCRC), Puducherry.</p>

<p>Desirable qualification: M.Sc (Life Sciences) with Bioinformatics knowledge and hands on molecular biology tools.</p>

<p>Age: Not exceeding 30 years on the last date of receipt of application</p>

<p>Job work: Molecular modelling studies, Database curation, Metagenomic studies on Dengue virus</p>

<p>Advertisement: http://vcrc.res.in/writereaddata/BIPrj15.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40604/gapfinisher-a-reliable-gap-filling-pipeline-for-sspace-longread-scaffolder-output</guid>
	<pubDate>Fri, 24 Jan 2020 06:04:40 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40604/gapfinisher-a-reliable-gap-filling-pipeline-for-sspace-longread-scaffolder-output</link>
	<title><![CDATA[gapFinisher: A reliable gap filling pipeline for SSPACE-LongRead scaffolder output]]></title>
	<description><![CDATA[<p><span>gapFinisher is based on the controlled use of a previously published gap filling tool FGAP and works on all standard Linux/UNIX command lines. They compare the performance of gapFinisher against two other published gap filling tools PBJelly and GMcloser. </span></p>
<p><span>gapFinisher can fill gaps in draft genomes quickly and reliably.</span></p><p>Address of the bookmark: <a href="https://github.com/kammoji/gapFinisher" rel="nofollow">https://github.com/kammoji/gapFinisher</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

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