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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28117?offset=1450</link>
	<atom:link href="https://bioinformaticsonline.com/related/28117?offset=1450" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
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	<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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5958/srfjrf-national-institute-of-immunology</guid>
  <pubDate>Wed, 30 Oct 2013 06:45:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF/JRF @ National Institute of Immunology]]></title>
  <description><![CDATA[
<p>ADVERTISEMENT OF WALK-IN-INTERVIEW</p>

<p>NAME OF THE POST : SRF/JRF (Four Posts only)</p>

<p>DURATION : Indicated with the respective project mentioned below:</p>

<p>NAME OF THE PROJECT : As Mentioned below:</p>

<p>1. Serological diversity and molecular characterization of Dichelobector nodusus and development of vaccine against virulent footroot funded by NAIP. (Tenable upto 31.03.2014)</p>

<p>2. Development of oral vaccine against Clostridium perfringenes employing translational fusion of immunodominant epitopes of beta toxin with heat labile entertoxin B funded by DBT. (Tenable upto 25.02.2014)</p>

<p>3. Indo-Norwegian project, “Evaluation of major porins, ompC and ompR of Areomonas hydrophila as potential vaccine candidates and identification and characterization of immune genes of Indian major carp, Labeo rohita” (Tenable upto 31.03.2014)</p>

<p>EDUCATIONAL QUALIFICATIONS: For JRF- M.Sc/M.Tech in any subject of Biological  Sciences/Life Sciences</p>

<p>For SRF- M.Sc/M.Tech in any subject of Biological Sciences/Life Sciences with 2 years of Research Experience.</p>

<p>JOB DESCRIPTION : The Candidate should have experience in gene Expression, protein purification, molecular biology techniques and bioinformatics<br />EMOLUMENTS : SRF: Rs. 18,000/- per month consolidated plus 30% HRA if /NET/GATE qualified otherwise Rs. 14,000/- per month consolidated + 30% HRA.</p>

<p>JRF: Rs. 16,000/- per month consolidated + 30% HRA if NET/GATE qualified otherwise Rs. 12,000/- per month consolidated + 30% HRA</p>

<p>SCIENTIST NAME : Dr. Lalit C. Garg, SS-VII (Gene Regulation Lab)</p>

<p>SCIENTIST’S EMAIL : lalit@nii.ac.in</p>

<p>WALK IN INTERVIEW ON : October 31st, 2013</p>

<p>REGISTRATION OF CANDIDATES: 10.30 AM to 11.00 AM </p>

<p>Advertisement: http://www1.nii.res.in/sites/default/files/project-Dr.Lalit-31oct2013.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/28051/convert-ensembl-gtf-to-annotation-table-geneid-genesymbol-genewisechrlocation-geneclass-strand-raw</guid>
	<pubDate>Fri, 24 Jun 2016 18:08:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/28051/convert-ensembl-gtf-to-annotation-table-geneid-genesymbol-genewisechrlocation-geneclass-strand-raw</link>
	<title><![CDATA[Convert EnsEMBL GTF to Annotation table (Geneid, GeneSymbol, GeneWiseChrLocation, GeneClass, Strand) Raw]]></title>
	<description><![CDATA[<p><strong>Bash Script source:</strong></p><p>https://gist.github.com/santhilalsubhash/367befcf5216be4b1fd9</p><p>&nbsp;</p><p><strong>Information</strong>:</p><p>This script converts EnsEMBL GTF (Ex:&nbsp;<a href="https://gist.githubusercontent.com/santhilalsubhash/1e7cca357e52a181dc25/raw/cfb803e07900a2baefbb6534f1299fd30cb57a29/sample.GTF">https://gist.githubusercontent.com/santhilalsubhash/1e7cca357e52a181dc25/raw/cfb803e07900a2baefbb6534f1299fd30cb57a29/sample.GTF</a>) file to annotation table format. It generated two files<br />1) Transcript wise chromosome location with information about transcripts (Ex:&nbsp;<a href="https://gist.githubusercontent.com/santhilalsubhash/c7dec516e0338503a4b6/raw/de0af1a39f0005c4ce7321c5ae57fc8b4a14c7f4/sample.GTF_enst_annotation.txt">https://gist.githubusercontent.com/santhilalsubhash/c7dec516e0338503a4b6/raw/de0af1a39f0005c4ce7321c5ae57fc8b4a14c7f4/sample.GTF_enst_annotation.txt</a>)<br />2) Gene wise chromosome location with information about genes (Ex:&nbsp;<a href="https://gist.githubusercontent.com/santhilalsubhash/c92006c5080f0333bec2/raw/d16e0b2440d73b09b486d3c9751cdb248a73fa0b/sample.GTF_ensg_annotation.txt">https://gist.githubusercontent.com/santhilalsubhash/c92006c5080f0333bec2/raw/d16e0b2440d73b09b486d3c9751cdb248a73fa0b/sample.GTF_ensg_annotation.txt</a>)</p><p>Note: You can download GTF files from&nbsp;<a href="http://www.ensembl.org/info/data/ftp/index.html">http://www.ensembl.org/info/data/ftp/index.html</a></p>]]></description>
	<dc:creator>EagleEye</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/6104/incob-2014</guid>
  <pubDate>Thu, 07 Nov 2013 17:53:36 -0600</pubDate>
  <link></link>
  <title><![CDATA[InCoB 2014]]></title>
  <description><![CDATA[
<p>The 13th International Conference on Bioinformatics (InCoB 2014) will be held in Novotel Sydney Brighton Beach, Sydney, New South Wales, Australia. This year, the InCoB will be held earlier from 31st July to 2nd August 2014 to run back-to-back with the International Biophysics Congress 2014 at the Brisbane Convention and Exhibition Centre, Queensland (3-7 Aug).</p>

<p>More at http://incob2014.org/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/37581/comparativegenomics-exercise2</guid>
	<pubDate>Wed, 22 Aug 2018 22:10:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/37581/comparativegenomics-exercise2</link>
	<title><![CDATA[ComparativeGenomics Exercise2]]></title>
	<description><![CDATA[<p>COMPARATIVE MICROBIAL GENOMICS ANALYSIS WORKSHOP&nbsp; @&nbsp;cbs.dtu.dk</p><p>Free Bioinformatics workbench https://www.mn.uio.no/ifi/english/research/networks/clsi/earlier_seminars/2012/tammivesth_osloseminarfinal.pdf</p>]]></description>
	<dc:creator>Neel</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/37581" length="139956" type="application/pdf" />
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/6300/list-of-bioinformatics-vacancy-jobs-opportunity-websites</guid>
	<pubDate>Tue, 12 Nov 2013 20:04:28 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/6300/list-of-bioinformatics-vacancy-jobs-opportunity-websites</link>
	<title><![CDATA[List of Bioinformatics Vacancy, Jobs, Opportunity websites]]></title>
	<description><![CDATA[<p>Bioinformatics cover wide area of biology, and indulge in almost all sort of science related work. Bioinformatician give strong emphasis on open access to biological information as well as Free and Open Source software!!</p>
<p>There are several jobs opening in bioinformatics all around the world, but many of them do not get proper attention due to lack of advertisements, or social connectivity. This bookmark is created for an academic, non-academic, scientists and budding researchers to help and updates the bioinformatics/computational biology jobs links of all know websites around the world.</p>
<p><strong>I also love to stream the live <strong>bioinformatics or Computational biology jobs</strong> updates using Twitter https://twitter.com/search?q=bioinformatics%20jobs&amp;src=typd</strong></p>
<p>Find out here about exciting job opportunities in the life sciences.</p>
<blockquote>
<p>Please add well known bioinformatics jobs websites below in comment section.</p>
</blockquote><p>Address of the bookmark: <a href="http://www.nature.com/naturejobs/science/jobs?utf8=%E2%9C%93&amp;q=bioinformatics&amp;where=&amp;commit=Find+Jobs" rel="nofollow">http://www.nature.com/naturejobs/science/jobs?utf8=%E2%9C%93&amp;q=bioinformatics&amp;where=&amp;commit=Find+Jobs</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37957/base-a-practical-de-novo-assembler-for-large-genomes-using-long-ngs-reads</guid>
	<pubDate>Fri, 19 Oct 2018 07:25:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37957/base-a-practical-de-novo-assembler-for-large-genomes-using-long-ngs-reads</link>
	<title><![CDATA[BASE: a practical de novo assembler for large genomes using long NGS reads]]></title>
	<description><![CDATA[<p><span>new&nbsp;</span><em>de novo</em><span>&nbsp;assembler called BASE. It enhances the classic seed-extension approach by indexing the reads efficiently to generate adaptive seeds that have high probability to appear uniquely in the genome. Such seeds form the basis for BASE to build extension trees and then to use reverse validation to remove the branches based on read coverage and paired-end information, resulting in high-quality consensus sequences of reads sharing the seeds. Such consensus sequences are then extended to contigs.</span></p><p>Address of the bookmark: <a href="https://github.com/dhlbh/BASE" rel="nofollow">https://github.com/dhlbh/BASE</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/6561/mathomics-lab</guid>
  <pubDate>Tue, 19 Nov 2013 18:17:32 -0600</pubDate>
  <link></link>
  <title><![CDATA[MATHomics Lab]]></title>
  <description><![CDATA[
<p>Mathomics is a collaborative research group of the Center for Mathematical Modeling and the Center for Genome Regulation at University of Chile, created to play a central role in the development of biotechnological projects, providing state of the art bioinformatics and mathematical modeling tools,  allowing to face these problems from the point of view of Systems Biology. </p>

<p>Lab page @ http://www.mathomics.cl/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/38618/canu-genome-assembly-parameters</guid>
	<pubDate>Mon, 07 Jan 2019 08:40:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/38618/canu-genome-assembly-parameters</link>
	<title><![CDATA[CANU genome assembly parameters !]]></title>
	<description><![CDATA[<p>Choose the appropriate parameters to run Canu and run it. The assembly will take about an hour. You can use two cores (parameter&nbsp;<code>-maxThreads=2</code>) and you would like to disable cluster option, since we compute on a single Amazon server set off the option to compute on cluster&nbsp;<code>useGrid=false</code>. This specifications should be for your project discussed with a local computing guru. The parameters that are in square brackets&nbsp;<code>[]</code>&nbsp;are optional, symbol&nbsp;<code>|</code>&nbsp;stands for "or".</p><pre><code>usage:   canu [-correct | -trim | -assemble | -trim-assemble] \
              [-s ] \
               -p  \
               -d  \
               genomeSize=[g|m|k] \
               -maxThreads=2 \
               useGrid=false \
              [other-options] \
               read_file.fastq.gz
</code></pre><p>A default&nbsp;<code>Canu</code>&nbsp;run produces usually high quality assembly, example of a command that was used for testing can be found below. However, there are still a lot of parameters that are possible to tweak. For example if we desire to assemble haplotypes separately of if we want to smash them together, we can alternate the error correction process.</p><pre><code>canu -p test_asmbl \
     -d asm_test3 \
     genomeSize=2m \
     -maxThreads=2 useGrid=false \
     -pacbio-raw \ ~/pacbio/dna/sample_reads.fastq.gz</code></pre><p>There is a brilliant&nbsp;<a href="http://canu.readthedocs.io/en/latest/faq.html#what-parameters-can-i-tweak">section in documentation</a>&nbsp;about parameter tweaking.</p><p>The output directory contains will contain many files. The most interesting ones are:</p><ul>
<li><code>*.correctedReads.fasta.gz</code>&nbsp;: file containing the input sequences after correction, trim and split based on consensus evidence.</li>
<li><code>*.trimmedReads.fastq</code>&nbsp;: file containing the sequences after correction and final trimming</li>
<li><code>*.layout</code>&nbsp;: file containing informations about read inclusion in the final assembly</li>
<li><code>*.gfa</code>&nbsp;: file containing the assembly graph by Canu</li>
<li><code>*.contigs.fasta</code>&nbsp;: file containing everything that could be assembled and is part of the primary assembly</li>
</ul><p>The basic stats of assembly can be read from reports generated by the assembler, or calculated using standard UNIX command line tools.</p><p>More at&nbsp;https://canu.readthedocs.io/en/latest/faq.html</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/6817/research-assistant-university-of-hyderabad</guid>
  <pubDate>Mon, 25 Nov 2013 10:21:26 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Assistant @ University of Hyderabad]]></title>
  <description><![CDATA[
<p>University of Hyderabad<br />Repository for Tomato Genomic Resources<br />Department of Plant Sciences<br />Bioinformatics Position in Tomato Functional Genomics </p>

<p>At the Repository for Tomato Genomics Resources, we are working on Tomato Functional Genomics, using TILLING, Insertional Mutagenesis, proteomics, metabolomics approaches to study fruit ripening in tomato. The current aims of the group include using reverse and forward genetics strategies to isolate tomato mutants delayed in ripening, having high lycopene and folate content in tomato fruits and analysis of light and hormonal signal transduction pathways. For recent publications of the group see (Plant Physiol 161: 2085–2101, Plant Physiol 156: 1424-1438; Molecular Plant 3: 854-869; Plant Methods 6: 3; Plant Methods 5:18; Plant Signaling and Behavior 5:11.).</p>

<p>Currently we have one position available in the projects awarded to Prof. R.P. Sharma funded by Dept of Biotechnology. The qualification for this Position is as follows:</p>

<p>Research Assistant: Applicants should have experience in networking using R language and should be able to develop networks using the transcriptome, proteome and metabolite data sets. M.Tech. in Bioinformatics is required. The selected candidate would be paid Rs. 13,000/-pm- consolidated.</p>

<p>Candidates interested in above positions should send a one page statement clearly explaining how their skills are relevant to the position. The candidates should also enclose detailed CV and the name/email id for three referees. The candidates can send their application by email at rameshwar.sharma@uohyd.ac.in and y.sreelakshmi@uohyd.ac.in on or before December 10th, 2013. The position is purely temporary in nature. Shortlisted candidates would be called for interview. No TA/DA would be provided for attending the interview. We also have openings for CSIR-NET JRF candidates for pursuing PhD in above research areas.</p>

<p>Interested candidates with CSIR-NET JRF can send their CV to the above email<br />addresses.</p>

<p>Advertisement:</p>

<p>http://www.uohyd.ac.in/images/recruitment/tomanet_positions_221113.pdf</p>
]]></description>
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