<?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/28269?offset=450</link>
	<atom:link href="https://bioinformaticsonline.com/related/28269?offset=450" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23672/jrf-in-bioinformatics-rajiv-gandhi-centre-for-biotechnology-rgcb-thiruvananthapuram</guid>
  <pubDate>Sat, 08 Aug 2015 01:22:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF in Bioinformatics @ Rajiv Gandhi Centre for Biotechnology (RGCB), Thiruvananthapuram]]></title>
  <description><![CDATA[
<p>Rajiv Gandhi Centre for Biotechnology (RGCB), Thiruvananthapuram<br />Job Code: 060815(10)Y</p>

<p>Jr Research Fellow Posts At Rajiv Gandhi Centre for Biotechnology<br />Rajiv Gandhi Centre for Biotechnology (RGCB) invites applications to recruit on vacant posts of Junior Research Fellow (JRF). Applications against these Government Jobs can be submitted on or before 15 August 2015.</p>

<p>Rajiv Gandhi Centre for Biotechnology Vacancy 2015 Details<br />Name of the post – Junior Research Fellow (JRF)<br />Total vacancies –</p>

<p>Age Limit: Below 28 years as on 15-08-2015.</p>

<p>Qualification(s): Masters Degree in Life Sciences/Biotechnology/Bioinformatics.</p>

<p>How to Apply: Duly filled-in applications in prescribed application format along with copies of required documents should be reach to: Rajiv Gandhi Centre for Biotechnology Thycaud PO, Poojappura, Thiruvananthapuram – 695014, Kerala. </p>

<p>More at http://rgcb.res.in/temporary-position-available-10/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36837/ranbow-a-haplotype-assembler-for-polyploid-genomes</guid>
	<pubDate>Fri, 01 Jun 2018 07:21:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36837/ranbow-a-haplotype-assembler-for-polyploid-genomes</link>
	<title><![CDATA[Ranbow: a haplotype assembler for polyploid genomes]]></title>
	<description><![CDATA[Ranbow is a haplotype assembler for polyploid genomes. It has been developed for the haplotype assembly of the hexaploid sweet potato genome, which is highly heterozygous. Ranbow can also be applied to other polyploid genomes. After a first phasing, Ranbow utilizes the assembled haplotypes to improve the accuracy of variant calling results and to infer the evolutionary history of the organism´s genome. Ranbow has three main modes of function:

ranbow hap: for haplotyping
ranbow eval: for evaluating of the assemble haplotypes by gold standard (long) reads 
ranbow phylo: for the phylogenetic analysis<p>Address of the bookmark: <a href="https://www.molgen.mpg.de/ranbow" rel="nofollow">https://www.molgen.mpg.de/ranbow</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23577/senior-research-fellow-srf-bioinformatics-at-aiims-india</guid>
  <pubDate>Tue, 04 Aug 2015 03:14:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Research Fellow (SRF) Bioinformatics at AIIMS, India]]></title>
  <description><![CDATA[
<p>DEPARTMENT OF BIOTECHNOLOGY<br />ALL INDIA INSTITUTE OF MEDICAL SCIENCES<br />NEW DELHI-110029</p>

<p>Requirement of Senior Research Fellow Applications are invited for the following vacancy under Research project entitled “Exploiting temporal transcription profile, computational analysis and post-transcriptional gene silencing to identify and intercept interactions between host and dormant and actively replicating Mycobacterium tuberculosis”</p>

<p>Senior Research Fellow One</p>

<p>M.Sc. Degree in Biotechnology/ /Microbiology/Bioinformatics and 2 years research experience in the relevant field NET/GATE Qualification with at least 2 years research experience in M. tuberculosis culture and related techniques as well as transcriptome data generation and analysis.</p>

<p>1 year</p>

<p>1. Age relaxation for SC/ST/OBC/PH Candidates will be as per the government rules.</p>

<p>2. Qualification/degree should be from a reputed Institution/University.</p>

<p>3. Mere fulfilling the essential qualification/experience does not guarantee selection.</p>

<p>4. Canvassing in any form will be a disqualification.</p>

<p>5. No TA/DA will be paid either for attending the interview or joining the post.</p>

<p>Interested candidates are to submit their Curriculum Vitae by 5 PM on 17th August, 2015 to Room No.107, Department of Biotechnology, AIIMS, New Delhi-29.</p>

<p>Only shortlisted candidates will be notified by email for interview</p>

<p>Advertisement:</p>

<p>www.aiims.edu/images/pdf/recruitment/advertisement/advertisement%20of%20SRF_N1306.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/37236/installing-salmon-for-trinity</guid>
	<pubDate>Tue, 03 Jul 2018 09:02:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/37236/installing-salmon-for-trinity</link>
	<title><![CDATA[Installing Salmon for Trinity !]]></title>
	<description><![CDATA[
<p>➜  trinityrnaseq-Trinity-v2.6.6 git:(master) ✗ conda install salmon<br />Solving environment: done</p>

<p>## Package Plan ##</p>

<p>  environment location: /home/urbe/anaconda3</p>

<p>  added / updated specs: <br />    - salmon</p>

<p>The following packages will be downloaded:</p>

<p>    package                    |            build<br />    ---------------------------|-----------------<br />    boost-1.64.0               |           py36_4         331 KB  conda-forge<br />    jemalloc-5.1.0             |       hfc679d8_0         8.2 MB  conda-forge<br />    boost-cpp-1.64.0           |                1        17.8 MB  conda-forge<br />    salmon-0.10.2              |                1         3.7 MB  bioconda<br />    conda-4.5.5                |           py36_0         624 KB  conda-forge<br />    tbb-2018_20171205          |                0         1.2 MB  conda-forge<br />    ------------------------------------------------------------<br />                                           Total:        31.8 MB</p>

<p>The following NEW packages will be INSTALLED:</p>

<p>    boost:     1.64.0-py36_4    conda-forge<br />    boost-cpp: 1.64.0-1         conda-forge<br />    jemalloc:  5.1.0-hfc679d8_0 conda-forge<br />    salmon:    0.10.2-1         bioconda   <br />    tbb:       2018_20171205-0  conda-forge</p>

<p>The following packages will be UPDATED:</p>

<p>    conda:     4.5.4-py36_0     conda-forge --&gt; 4.5.5-py36_0 conda-forge</p>

<p>Proceed ([y]/n)? y</p>

<p>Downloading and Extracting Packages<br />boost-1.64.0         |  331 KB | ####################################################################################################################################### | 100% <br />jemalloc-5.1.0       |  8.2 MB | ####################################################################################################################################### | 100% <br />boost-cpp-1.64.0     | 17.8 MB | ####################################################################################################################################### | 100% <br />salmon-0.10.2        |  3.7 MB | ####################################################################################################################################### | 100% <br />conda-4.5.5          |  624 KB | ####################################################################################################################################### | 100% <br />tbb-2018_20171205    |  1.2 MB | ####################################################################################################################################### | 100% <br />Preparing transaction: done<br />Verifying transaction: done<br />Executing transaction: done</p>
]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23686/bioinformatics-symposium</guid>
  <pubDate>Tue, 11 Aug 2015 04:02:59 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Symposium]]></title>
  <description><![CDATA[
<p>This 2 day symposium will focus on topics in the below mentioned areas.</p>

<p>Experts from India and Japan in this fields will deliver lectures and contribute in discussions. This will provide an opportunity to the participants to interact and learn.</p>

<p>Topics:</p>

<p>    Algorithms for biomolecular Sequences / Structures<br />    Bioinformatics databases and tools<br />    High performance computing<br />    Large scale data analysis<br />    Protein function<br />    Structure based drug design<br />    Applications to specific diseases</p>

<p>More at http://www.iitm.ac.in/bioinfo/Symposium-2015/index.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/37514/list-of-non-commercial-ngs-genotype-calling-software</guid>
	<pubDate>Thu, 09 Aug 2018 04:21:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/37514/list-of-non-commercial-ngs-genotype-calling-software</link>
	<title><![CDATA[List of non-commercial NGS genotype-calling software]]></title>
	<description><![CDATA[<p><span>Meaningful analysis of next-generation sequencing (NGS) data, which are produced extensively by genetics and genomics studies, relies crucially on the accurate calling of SNPs and genotypes. Recently developed statistical methods both improve and quantify the considerable uncertainty associated with genotype calling, and will especially benefit the growing number of studies using low- to medium-coverage data.&nbsp;</span></p><p><span>A list of programs for genotype and SNP calling :</span></p><p><br />SOAP2&nbsp;http://soap.genomics.org.cn/index.html</p><p>Single-sample High-quality variant database (for example, dbSNP) Package for NGS data analysis, which includes a single individual genotype caller (SOAPsnp)</p><p>realSFS&nbsp;http://128.32.118.212/thorfinn/realSFS/</p><p>Single-sample Aligned reads Software for SNP and genotype calling using single individuals and allele frequencies. Site frequency spectrum (SFS) estimation</p><p>Samtools http://samtools.sourceforge.net/</p><p>Multi-sample Aligned reads Package for manipulation of NGS alignments, which includes a computation of genotype likelihoods (samtools) and SNP and genotype calling (bcftools)</p><p>GATK http://www.broadinstitute.org/gsa/wiki/index.php/The_Genome_Analysis_Toolkit Multi-sample Aligned reads Package for aligned NGS data analysis, which includes a SNP and genotype caller (Unifed Genotyper), SNP filtering (Variant Filtration) and SNP quality recalibration (Variant Recalibrator)</p><p>Beagle http://faculty.washington.edu/browning/beagle/beagle.html</p><p>Multi-sample LD Candidate SNPs, genotype likelihoods Software for imputation, phasing and association that includes a mode for genotype calling</p><p>IMPUTE2 http://mathgen.stats.ox.ac.uk/impute/impute_v2.html</p><p>Multi-sample LD Candidate SNPs, genotype likelihoods Software for imputation and phasing, including a mode for genotype calling. Requires fine-scale linkage map</p><p>QCall ftp://ftp.sanger.ac.uk/pub/rd/QCALL</p><p>Multi-sample LD &lsquo;Feasible&rsquo; genealogies at a dense set of loci, genotype likelihoods Software for SNP and genotype calling, including a method for generating candidate SNPs without LD information (NLDA) and a method for incorporating LD information (LDA). The &lsquo;feasible&rsquo; genealogies can be generated using Margarita (http://www.sanger.ac.uk/resources/software/margarita)</p><p>MaCH http://genome.sph.umich.edu/wiki/Thunder</p><p>Multi-sample LD Genotype likelihoods Software for SNP and genotype calling, including a method (GPT_Freq) for generating candidate SNPs without LD information and a method (thunder_glf_freq) for incorporating LD information</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/fun/view/23959/bioinformatics-jokes</guid>
	<pubDate>Fri, 21 Aug 2015 01:26:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/fun/view/23959/bioinformatics-jokes</link>
	<title><![CDATA[Bioinformatics Jokes !!]]></title>
	<description><![CDATA[<p>Why was the Bioinformatics fired from his job?</p><p>A: He was getting too Sassy.</p><p>&nbsp;</p><p>What did the bioinformatician say when he found out his team stopped using version control?</p><p>A: Y&rsquo;all better Git!</p><p>&nbsp;</p><p>Why did the computational biologist stay home from work?</p><p>A: He had a code!</p><p>&nbsp;</p><p>Why was the bioinformatician's paper was rejected?</p><p>A: Journal thought it seemed scripted.</p><p>&nbsp;</p><p>How can you tell that a Bioinformatics is working?</p><p>A: You can hear him Grunting!</p><p>&nbsp;</p><p>Why bioinformatician always silence?</p><p>A: Because bioinformatician calmly whisper, &ldquo;SSH&rdquo;</p><p>&nbsp;</p><p>Why was the bioinformatician always so sleepy?</p><p>A: He/She wasn&rsquo;t given any Java.</p><p>&nbsp;</p><p>Why did the program/software hanged?</p><p>A: Because genome float.</p><p>&nbsp;</p><p>Why was the class upset that its parent died?</p><p>A: Because it wouldn&rsquo;t be getting the inheritance!</p><p>&nbsp;</p><p>Why did bioinformatician always works on the command line?</p><p>A: Because they don't want to scare you with huge amount of data!</p><p>&nbsp;</p><p>Why did the bioinformatician attend the gay pride parade?</p><p>A: They supported polymorphism.</p><p>&nbsp;</p><p>Why did bioinformatician prefer awk, PerlOneliner?</p><p>A: Because even computer can't handle to load the data.</p><p>&nbsp;</p><p>Why don&rsquo;t bioinformatician get along with others?</p><p>A: They&rsquo;re too MEAN.</p><p>&nbsp;</p><p>Why computational biologist are cool?</p><p>A: Because they are scripted!!</p><p>&nbsp;</p><p>Why they talk $ unzip; strip; touch; finger; grep; mount; fsck; more; yes; fsck; fsck; umount; clean; sleep;</p><p>A: Ah, Ohhh, dude, these are *NIX commands</p><p>&nbsp;</p><p>Did they really hack genome?</p><p>A: Yes, I guess so.</p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38169/amstat-display-statistics-of-large-sequence-files-from-next-generation-sequencing-projects</guid>
	<pubDate>Fri, 09 Nov 2018 13:34:56 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38169/amstat-display-statistics-of-large-sequence-files-from-next-generation-sequencing-projects</link>
	<title><![CDATA[AMStat: display statistics of large sequence files from next generation sequencing projects]]></title>
	<description><![CDATA[<p><span>SAMStat is an efficient C program to quickly display statistics of large sequence files from next generation sequencing projects. When applied to&nbsp;</span><a href="http://samstat.sourceforge.net/#about">SAM/BAM</a><span>&nbsp;files all statistics are reported for unmapped, poorly and accurately mapped reads separately. This allows for identification of a variety of problems, such as remaining linker and adaptor sequences, causing poor mapping. Apart from this SAMStat can be used to verify individual processing steps in large analysis pipelines.</span></p><p>Address of the bookmark: <a href="http://samstat.sourceforge.net/" rel="nofollow">http://samstat.sourceforge.net/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24178/essentials-of-statistics-and-data-analysis-using-r</guid>
  <pubDate>Mon, 31 Aug 2015 01:32:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[Essentials of Statistics and Data Analysis using R]]></title>
  <description><![CDATA[
<p>Clinical Development Services Agency (CDSA) is an extramural unit of Translational Health Science and Technology Institute (THSTI), Department of Biotechnology, Ministry of Science &amp; Technology, Government of India. CDSA has a national mandate of strengthening capacity and capability building in the area of Clinical development and Translational Research.</p>

<p>CDSA is pleased to announce a 4 days hands-on training program on “Essentials of Statistics and Data Analysis using R” at ICGEB, Aruna Asaf Ali Road, New Delhi on December 1 – 4, 2015. This will involve developing and enhancing skills to understand basic principles of statistics for summarizing data and use of appropriate statistical tests as well as providing an understanding of data analysis using R. Didactic lectures with practical sessions will be delivered by experienced faculties from AIIMS and Novartis. Live classroom with power point presentations, case studies, mock exercise, practical sessions on R, group work with time for discussion and Q&amp;A sessions are added advantages of this workshop.</p>

<p>Please contact gayatrivishwakarma.cdsa@thsti.res.in or vineetabaloni.cdsa@thsti.res.in for program and registration details.</p>

<p>Please nominate personage or register yourself on or before November 6, 2015 along with the electronic transfer of registration fee.</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39674/simka-and-simkamin-are-comparative-metagenomics-method-dedicated-to-ngs-datasets</guid>
	<pubDate>Sat, 06 Jul 2019 13:56:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39674/simka-and-simkamin-are-comparative-metagenomics-method-dedicated-to-ngs-datasets</link>
	<title><![CDATA[Simka and SimkaMin are comparative metagenomics method dedicated to NGS datasets]]></title>
	<description><![CDATA[<p>Simka is a de novo comparative metagenomics tool. Simka represents each dataset as a k-mer spectrum and compute several classical ecological distances between them.</p>
<p>Developper:&nbsp;<a href="http://people.rennes.inria.fr/Gaetan.Benoit/">Ga&euml;tan Benoit</a>, PhD, former member of the&nbsp;<a href="http://team.inria.fr/genscale/">Genscale</a>&nbsp;team at Inria.</p>
<p>Contact: claire dot lemaitre at inria dot fr</p>
<p><span>Simka and SimkaMin are comparative metagenomics method dedicated to NGS datasets.&nbsp;</span><span></span><span><a href="https://gatb.inria.fr/software/simka/">https://gatb.inria.fr/software/simka/</a></span></p><p>Address of the bookmark: <a href="https://github.com/GATB/simka" rel="nofollow">https://github.com/GATB/simka</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

</channel>
</rss>