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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28290?offset=970</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32129/lordec-a-hybrid-error-correction-program-for-long-pacbio-reads</guid>
	<pubDate>Mon, 10 Apr 2017 04:16:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32129/lordec-a-hybrid-error-correction-program-for-long-pacbio-reads</link>
	<title><![CDATA[LoRDEC: a hybrid error correction program for long, PacBio reads]]></title>
	<description><![CDATA[<p>LoRDEC is a program to correct sequencing errors in long reads from 3rd generation sequencing with high error rate, and is especially intended for PacBio reads. It uses a hybrid strategy, meaning that it uses two sets of reads: the reference read set, whose error rate is assumed to be small, and the PacBio read set, which is then corrected using the reference set. Typically, the reference set contains Illumina reads.</p>
<p><br> Usually, errors in PacBio reads include many insertions and deletions, and comparatively less substitutions. LoRDEC can correct errors of all these types.<br> After correction, a larger portion of the sequence of PacBio reads is usable for detection of region of similarity with other sequences, for aligning them to the contigs of an assembly, etc.</p>
<p>Why is LoRDEC different?</p>
<ul>
<li>It is efficient and can process large read data sets, included from eukaryotic or vertebrate species, on a usual computing server, and even works on desktop/laptop computers.</li>
<li>It adopts a novel graph based approach: it builds a succinct De Bruijn Graph (DBG) representing the short reads, and seeks a corrective sequence for each erroneous region of a long read by traversing chosen paths in the graph.</li>
</ul><p>Address of the bookmark: <a href="http://www.atgc-montpellier.fr/lordec/" rel="nofollow">http://www.atgc-montpellier.fr/lordec/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32184/metagenomics-assembly-workshop</guid>
	<pubDate>Tue, 18 Apr 2017 04:28:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32184/metagenomics-assembly-workshop</link>
	<title><![CDATA[Metagenomics assembly workshop !!]]></title>
	<description><![CDATA[<div>
<div>
<div id="welcome-to-metagenomics-workshop">
<p>Welcome to the one-day metagenomics assembly workshop. This tutorial will guide you through the typical steps of metagenome assembly and binning.</p>
<div>
<ul>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/data.html">The Tutorial Data Set</a></li>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/qc/index.html">FastQC Quality Control</a></li>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/assembly/index.html">Assembly</a>
<ul>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/assembly/velvet.html">Velvet Assembly</a></li>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/assembly/megahit.html">MEGAHIT Assembly</a></li>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/assembly/idba_ud.html">IDBA-UD Assembly</a></li>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/assembly/ray.html">Ray Assembly</a></li>
</ul>
</li>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/geneprediction/index.html">Gene Prediction</a></li>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/evaluation/index.html">Assembly Evaluation</a>
<ul>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/evaluation/mapping.html">Read Mapping</a></li>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/evaluation/metaquast.html">MetaQUAST</a></li>
</ul>
</li>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/binning/index.html">Binning</a>
<ul>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/binning/maxbin.html">MaxBin Binning</a></li>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/binning/metabat.html">MetaBAT Binning</a></li>
</ul>
</li>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/classification/index.html">Classification</a>
<ul>
<li><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/classification/kraken.html">Kraken Taxonomic Sequence Classification System</a></li>
</ul>
</li>
</ul>
</div>
</div>
</div>
</div>
<div><a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/data.html" title="The Tutorial Data Set">Next&nbsp;<span></span></a>
<p>&nbsp;</p>
</div><p>Address of the bookmark: <a href="http://denbi-metagenomics-workshop.readthedocs.io/en/latest/index.html" rel="nofollow">http://denbi-metagenomics-workshop.readthedocs.io/en/latest/index.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32376/diamond</guid>
	<pubDate>Thu, 27 Apr 2017 04:21:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32376/diamond</link>
	<title><![CDATA[DIAMOND]]></title>
	<description><![CDATA[<p><span>DIAMOND is a sequence aligner for protein and translated DNA searches and functions as a drop-in replacement for the NCBI BLAST software tools. It is suitable for protein-protein search as well as DNA-protein search on short reads and longer sequences including contigs and assemblies, providing a speedup of BLAST ranging up to x20,000.</span></p>
<p><span>More at&nbsp;file:///home/urbe/Downloads/diamond_manual.pdf</span></p>
<p><span>http://www.nature.com/nmeth/journal/v12/n1/full/nmeth.3176.html</span></p><p>Address of the bookmark: <a href="https://github.com/bbuchfink/diamond" rel="nofollow">https://github.com/bbuchfink/diamond</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/32496/bioinformatician-at-23andme</guid>
  <pubDate>Sat, 06 May 2017 17:57:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatician at 23andMe]]></title>
  <description><![CDATA[
<p>23andMe’s mission is to help people access, understand, and benefit<br />from the human genome. We are a group of passionate individuals excited<br />to push the boundaries of what’s possible to help turn genetic insight<br />into better health and personal understanding.</p>

<p>Our Research Team prides itself on driving cutting edge, industrial-scale<br />science to make an impact that belies the team’s size, in an environment<br />and culture that fosters creativity, innovation, collaboration, and fun.</p>

<p>More than 80% of our customers consent to participate in research, and as<br />a result of their participation, we have one of the largest recontactable,<br />genotyped, and phenotyped research cohorts in the world. The scope and<br />breadth of our vision means that most of the methods and tools necessary<br />to unlock the potential of this unique resource for discovery have yet<br />to be developed.</p>

<p>Our science has garnered the respect of many members of the<br />broader scientific community. For a list of our publications, see<br />www.23andme.com/publications/for-scientists/.</p>

<p>Join us! Visit our Careers page (www.23andMe.com/careers) to learn more<br />about these open positions:</p>

<p>•	Scientist, Research Communications<br />•	Bioinformaticist<br />•	Computational Biologist, Ancestry R&amp;D<br />•	Scientist/Senior Scientist, Statistical Genetics<br />•	Scientist/Senior Scientist, Survey Methodology<br />•	Scientist/Senior Scientist, Health R&amp;D<br />•	Senior Computational Biologist<br />•	Biostatistician</p>

<p>pfontanillas@23andme.com</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32633/a-post-assembly-genome-improvement-toolkit-pagit-to-obtain-annotated-genomes-from-contigs</guid>
	<pubDate>Fri, 12 May 2017 10:50:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32633/a-post-assembly-genome-improvement-toolkit-pagit-to-obtain-annotated-genomes-from-contigs</link>
	<title><![CDATA[A Post-assembly genome-improvement toolkit (PAGIT) to obtain annotated genomes from contigs]]></title>
	<description><![CDATA[<p>PAGIT addresses the need for software to generate high quality draft genomes. It is based on a series of programs that we developed:</p>
<p><a href="https://sourceforge.net/projects/abacas/files/">ABACAS</a>, that is able to contiguate contigs from a de novo assembly against a closely related reference.</p>
<p><a href="https://sourceforge.net/projects/image2/files/">IMAGE</a>, an iterative approach for closing gaps in assembled genomes using mate pair information. It is able to close gaps left open by the assembler in a draft genome, even when using the same data sets as used by the original assembler.</p>
<p><a href="http://icorn.sourceforge.net/">iCORN</a>, that enables errors in the consensus sequence to be corrected by iteratively mapping reads to the current assembly. An improved version, especially correction Pacfic Bioscience assemblies (PacBio) can be found&nbsp;<a href="ftp://ftp.sanger.ac.uk/pub4/resources/software/pagit/ICORN2/icorn2.V0.95.tgz">here</a>.</p>
<p><a href="https://ratt.svn.sourceforge.net/svnroot/ratt">RATT</a>, a tool to transfer the annotation from a reference genome, or an earlier assembly, onto the latest assembly.</p>
<p>PAGIT bundles these software and makes them more accessible for users.</p><p>Address of the bookmark: <a href="http://www.sanger.ac.uk/science/tools/pagit" rel="nofollow">http://www.sanger.ac.uk/science/tools/pagit</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/34375/the-10th-north-east-bioinformatics-network-nebinet-annual-coordinators-meet</guid>
	<pubDate>Sat, 18 Nov 2017 15:02:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/34375/the-10th-north-east-bioinformatics-network-nebinet-annual-coordinators-meet</link>
	<title><![CDATA[The 10th North East Bioinformatics Network (NEBINet) Annual Coordinators' Meet]]></title>
	<description><![CDATA[<p>The 10th North East Bioinformatics Network (NEBINet) Annual Coordinators' Meet organised by the Bioinformatics Centre, St Edmund's College, Shillong and sponsored by the Department of Biotechnology, Government of India, was held at St Edmund's College Auditorium here on Thursday. Meghalaya Governor Ganga Prasad graced the inaugural programme as chief guest. <br />In his inaugural address, the Governor said the panorama of scientific scenario has greatly changed over the years, the thrust areas have undergone a metamorphosis but the conceptual underpinning of the basic sciences still continues. <br />"Of late, the activity of basic research has been intricately intertwined with technology. And we are determined to carry forward this change, for it is through technology that science can actually reach the masses in our country and afar, and the changing times have also inculcated a culture of cross-departmental and interdisciplinary research. Science and technology has always played a pivotal role in taking a nation towards greater heights by ways of innovations and inventions," he added. <br />Prasad also hoped that discussions, suggestions and sharing of innovative ideas during the two-day 10th NEBINet Annual Coordinators' Meet will open up new avenues to make substantial advancement in Biological Sciences which will provide a platform for proper and effective delivery mechanism for the common man. <br />During the inaugural function, Advisor of Department of Biotechnology Dr T Madhan Mohan gave an overview of the NEBINet and Bioinformatics programme. <br />President of Epygen Biotech FZ LLC, Dubai, UAE, Dr Debayan Ghosh, delivered the keynote address. <br />St Edmund's College governing body secretary Brother Simon Coelho and St Edmund's College Principal Dr Sylvanus Lamare also spoke during the function.</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34862/pasa-gene-structure-annotation-and-analysis</guid>
	<pubDate>Tue, 26 Dec 2017 21:14:03 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34862/pasa-gene-structure-annotation-and-analysis</link>
	<title><![CDATA[PASA: Gene Structure Annotation and Analysis]]></title>
	<description><![CDATA[<p><span>PASA, acronym for Program to Assemble Spliced Alignments, is a eukaryotic genome annotation tool that exploits spliced alignments of expressed transcript sequences to automatically model gene structures, and to maintain gene structure annotation consistent with the most recently available experimental sequence data. PASA also identifies and classifies all splicing variations supported by the transcript alignments.</span></p><p>Address of the bookmark: <a href="http://pasapipeline.github.io/" rel="nofollow">http://pasapipeline.github.io/</a></p>]]></description>
	<dc:creator>biogeek</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/35125/eugene-v-koonin-lab</guid>
  <pubDate>Tue, 09 Jan 2018 05:01:15 -0600</pubDate>
  <link></link>
  <title><![CDATA[Eugene V. Koonin Lab]]></title>
  <description><![CDATA[
<p>Interested in understanding the evolution of life. To obtain glimpses of such understanding, we employ existing and new methods of computational biology to perform research in several major areas.</p>

<p>https://www.ncbi.nlm.nih.gov/research/groups/koonin/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/35563/bioinformatics-postdoctoral-position-at-instem</guid>
  <pubDate>Tue, 13 Feb 2018 03:18:54 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics postdoctoral position at inStem]]></title>
  <description><![CDATA[
<p>One postdoctoral position is available in the area of Bioinformatics. This position is available through a highly collaborative project involving multiple labs. </p>

<p>The primary focus here would be to analyse and integrate high throughput data from various aspects of translation regulation including non-coding RNAs, mRNAs and modification of ribosomal RNA. We request the interested candidates to approach either</p>

<p>Dasaradhi Palakodeti (dasaradhip@instem.res.in)<br />Or<br />Ravi Muddashetty (ravism@instem.res.in)</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/36100/bioinformatics-postdoctoral-position-at-csir-institute-of-himalayan-bioresource-technology-palampur-hp</guid>
  <pubDate>Thu, 05 Apr 2018 06:57:17 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics postdoctoral position at CSIR - Institute of Himalayan Bioresource Technology, Palampur (H.P.)]]></title>
  <description><![CDATA[
<p>Walk-in-Interview is scheduled to be held on the date as mentioned below for selection of Suitable candidates in the following areas under the  DBT sponsored projecT on purely temporary basis for the duration of the project(s) or till completion of projects whichever is earlier:</p>

<p>Project Title:<br />"Exploration of RBP-RNA interactions to reveal the post-transcriptional regulatory impact, and development of related tools and resource server".</p>

<p>Position: Research Associate (1 position)<br />Age : 35 years as on 02.05.2018<br />Salary : Rs.36,000/- P.M. + H.R.A.</p>

<p>as per the funds provisions in the respective projects.</p>

<p>Eligibility Criteria : <br />Essential Qualifications: Ph.D. in any area of Bioinformatics/ Computational Biology/ Life Sciences.<br />Desirable: Candidate having experience in Bioinformatics will be preferred.</p>

<p>Or</p>

<p>Essential Qualifications: M.Tech. in Bioinformatics/ Computation Biology/ Computer Science or any related area with 3 years of research experience.</p>

<p>Selection Procedure : Walk In Interview</p>

<p>Date :	02 May, 2018<br />Time :	9:30 A.M.<br />Venue : CSIR-IHBT Palampur (H.P.)</p>

<p>For more info refer to following doc:</p>

<p>http://ihbt.res.in/components/com_chronoforms5/chronoforms/uploads/Recruitment/20180404125233_AdvtNo11_2018.pdf</p>
]]></description>
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