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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31568?offset=660</link>
	<atom:link href="https://bioinformaticsonline.com/related/31568?offset=660" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25094/project-assistant-bioinformatics</guid>
  <pubDate>Mon, 02 Nov 2015 03:23:09 -0600</pubDate>
  <link></link>
  <title><![CDATA[Project Assistant BioInformatics]]></title>
  <description><![CDATA[
<p>Project Assistant BioInformatics</p>

<p>Eligibility : ME/M.Tech(Bio-Informatics/Bio-Chemistry Engg), MSc(Bio-Informatics), BE/B.Tech</p>

<p>Location : Pune</p>

<p>Last Date : 16 Nov 2015</p>

<p>Hiring Process : Face to Face Interview</p>

<p>No. Bio/NCIM/3 </p>

<p>Project Assistant II Jobs opportunity in National Chemical Laboratory (NCL) on temporary basis</p>

<p>Project Code No. : GAP312626</p>

<p>Title of the Project : Microbial ecology and distribution of geochemical cycling genes in an hot spring ecosystem</p>

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

<p>Qualifications : M.Sc./B.Tech/M.Tech in Computational biology/ Bioinformatics from recognized university with minimum 60 % marks (aggregate) </p>

<p>Desirable : Good knowledge of computational skills, Linux (command line and GUI) and Unix; Perl / Python / R /C-programming. Practical knowledge of analysis of Next generation sequence datasets (amplicon sequencing, whole metagenome, and complete genome sequencing) with reference to microbes. Analysis and statistical validation of NGS data generated from different chemistry platforms. Some wet-lab experience in microbial system would be an added advantage as project involves some travel.</p>

<p>Emoluments : Rs. 16,000/- </p>

<p>Age Limit : 28 years</p>

<p>The application with the above information duly signed together with photo-copies of relevant certificates/testimonials should be addressed to : The Head, NCIM Resource Centre (Attn Dr. M.S. DHARNE), National Chemical Laboratory, Pune 411 008, so as to reach on or before 16th November 2015.</p>

<p>More at http://www.ncl-india.org/files/JoinUs/JobVacancies/TemporaryJobs.aspx?menuid=ql6&amp;childmenustripid=divSubQL6</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37574/simlord-a-read-simulator-for-third-generation-sequencing-reads</guid>
	<pubDate>Wed, 22 Aug 2018 10:40:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37574/simlord-a-read-simulator-for-third-generation-sequencing-reads</link>
	<title><![CDATA[SimLoRD: A read simulator for third generation sequencing reads]]></title>
	<description><![CDATA[<p>SimLoRD is a read simulator for third generation sequencing reads and is currently focused on the Pacific Biosciences SMRT error model.</p>
<p>Reads are simulated from both strands of a provided or randomly generated reference sequence.</p>
<div id="rst-header-features">
<ul>
<li>The reference can be read from a FASTA file or randomly generated with a given GC content. It can consist of several chromosomes, whose structure is respected when drawing reads. (Simulation of genome rearrangements may be incorporated at a later stage.)</li>
<li>The read lengths can be determined in four ways: drawing from a log-normal distribution (typical for genomic DNA), sampling from an existing FASTQ file (typical for RNA), sampling from a a text file with integers (RNA), or using a fixed length</li>
<li>Quality values and number of passes depend on fragment length.</li>
<li>Provided subread error probabilities are modified according to number of passes</li>
<li>Outputs reads in FASTQ format and alignments in SAM format</li>
</ul>
</div><p>Address of the bookmark: <a href="https://bitbucket.org/genomeinformatics/simlord/" rel="nofollow">https://bitbucket.org/genomeinformatics/simlord/</a></p>]]></description>
	<dc:creator>Aaryan Lokwani</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25147/pre-or-postdoctoral-research-fellowship-in-structural-bioinformatics-at-padova</guid>
  <pubDate>Thu, 05 Nov 2015 22:15:12 -0600</pubDate>
  <link></link>
  <title><![CDATA[Pre- or postdoctoral research fellowship in Structural Bioinformatics at Padova]]></title>
  <description><![CDATA[
<p>A research fellowship for a software developer is available at the BioComputing UP Laboratory, University of Padova (URL: http://protein.bio.unipd.it/).<br />A highly motivated and creative candidate is sought to work on structural bioinformatics. Specifically, the project entails the development of novel methods, tools and databases for the analysis of protein structures.</p>

<p>The BioComputing UP Laboratory, headed by Prof. Silvio Tosatto, is a dynamic group of a dozen people working on several aspects of prediction of protein structure &amp; function employing techniques at the intersection between biology, medicine, chemistry, physics &amp; computer science.<br />Our aim is to integrate the development of novel methods and their application to biologically relevant problems.</p>

<p>We are looking for candidates with a solid Bioinformatics background, programming experience (Python, C++ and/or Java) and good knowledge of molecular biology (protein structure/function). Good knowledge of statistics as well as experience in using database systems (MongoDB, MySQL and/or Postgres) is desirable. Candidates should have a degree with top marks, optionally hold a PhD, and be highly motivated to work on interdisciplinary research. Good knowledge of English, an open-minded spirit, being collaborative and creative are crucial.</p>

<p>The fellowship, which should start as soon as possible, is renewable and initially for one year. It will be commensurate to experience, can be extended depending on performance and may lead to a PhD degree. The successful candidate will be working full-time at the BioComputing UP Laboratory, University of Padova. Travel support for conferences and/or research visits abroad is provided.<br />To apply, please send your CV, with a motivation letter and brief description of your research background as well as the names of two (or more) references to: biocomp@bio.unipd.it. </p>

<p>Start date: As soon as possible</p>

<p>Duration: 1 year, renewable</p>

<p>Salary on grant: Commesurate to experience</p>

<p>Contact Person (Referent): Silvio Tosatto</p>

<p>Ref. E-Mail: biocomp@bio.unipd.it</p>

<p>Tel: +39 049 827 6269<br />Fax: +39 049 827 6260</p>

<p>Group Web Page: http://protein.bio.unipd.it/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38892/wtdbg2-a-fuzzy-bruijn-graph-approach-to-long-noisy-reads-assembly</guid>
	<pubDate>Mon, 04 Feb 2019 04:53:47 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38892/wtdbg2-a-fuzzy-bruijn-graph-approach-to-long-noisy-reads-assembly</link>
	<title><![CDATA[wtdbg2: A fuzzy Bruijn graph approach to long noisy reads assembly]]></title>
	<description><![CDATA[<p><span>Wtdbg2 is a&nbsp;</span><em>de novo</em><span>&nbsp;sequence assembler for long noisy reads produced by PacBio or Oxford Nanopore Technologies (ONT). It assembles raw reads without error correction and then builds the consensus from intermediate assembly output.&nbsp;</span></p>
<pre>./wtdbg2 -x rs -g 4.6m -t 16 -i reads.fa.gz -fo prefix
./wtpoa-cns -t 16 -i prefix.ctg.lay.gz -fo prefix.ctg.fa</pre><p>Address of the bookmark: <a href="https://github.com/ruanjue/wtdbg2" rel="nofollow">https://github.com/ruanjue/wtdbg2</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40946/free-genomics-data</guid>
	<pubDate>Fri, 07 Feb 2020 14:08:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40946/free-genomics-data</link>
	<title><![CDATA[Free Genomics data !]]></title>
	<description><![CDATA[<p><span>The specimens were collected by the Oxford Wytham Woods and Edinburgh Lohse lab teams. DNA extraction and sequencing was carried out by the Sanger Institute Scientific Operations teams. Assemblies were carried out by the Tree of Life team (Shane McCarthy) and colleagues in Pacific Biosciences (Jonas Korlach).</span></p>
<p><a href="https://www.darwintreeoflife.org/an-initial-set-of-raw-genome-assemblies-from-the-darwin-tree-of-life-project/">https://www.darwintreeoflife.org/an-initial-set-of-raw-genome-assemblies-from-the-darwin-tree-of-life-project/</a></p><p>Address of the bookmark: <a href="https://www.darwintreeoflife.org/an-initial-set-of-raw-genome-assemblies-from-the-darwin-tree-of-life-project/" rel="nofollow">https://www.darwintreeoflife.org/an-initial-set-of-raw-genome-assemblies-from-the-darwin-tree-of-life-project/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25293/srfjrf-bioinformatics-at-national-bureau-of-animal-genetic-resources</guid>
  <pubDate>Thu, 26 Nov 2015 01:54:07 -0600</pubDate>
  <link></link>
  <title><![CDATA[SRF/JRF Bioinformatics at National Bureau of Animal Genetic Resources]]></title>
  <description><![CDATA[
<p>National Bureau of Animal Genetic Resources </p>

<p>SRF Job vacancies in National Bureau of Animal Genetic Resources (NBAGR) on contractual basis</p>

<p>No. of Posts : 03</p>

<p>Qualifications : Master degree in any one of discipline/ Subjects Biotechnology/Bioinformatics/Life Sciences/ Computer Applications with 4 years/5 years of Bachelor’s degree. Candidates having post graduate degree in above mentioned subjects with 3 years Bachelor’s degree should be NET qualified.</p>

<p>Note : i. The Ph.D. Degree holders are eligible for the posts. ii. The Master’s degree holders with the integrated degrees like B.Tech. &amp; M. Tech. (5 years) are eligible. iii. Graduates with three years Bachelor’s degree, who have acquired professional Master’s degree (3 years) like M.Sc. (Ag.), Masters in Computer Applications, M. Tech., etc., are eligible.</p>

<p>Desirable : The candidates should have zeal to work in R environment and NGS data analysis</p>

<p>Emolument : Rs. 28,000/- </p>

<p>Age Limit : 35 year for Men and 40 years for Women in case of SRF on the date of Interview.<br />How to apply</p>

<p>Walk-in-Interview is proposed to be held at National Bureau of Animal Genetic Resources, Karnal (Haryana)-132 001 at 10:30 AM on 02.12.2015. Interested candidates may attend Walk-in-Interview at 10:30 AM on 02.12.2015 alongwith original certificates and typed bio-data with one set of attested copies of each their certificates with passport size photograph.</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41669/filtlong-quality-filtering-tool-for-long-reads</guid>
	<pubDate>Wed, 13 May 2020 10:23:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41669/filtlong-quality-filtering-tool-for-long-reads</link>
	<title><![CDATA[Filtlong: quality filtering tool for long reads]]></title>
	<description><![CDATA[<p>Filtlong is a tool for filtering long reads by quality. It can take a set of long reads and produce a smaller, better subset. It uses both read length (longer is better) and read identity (higher is better) when choosing which reads pass the filter.</p>
<p>Filtlong builds into a stand-alone executable:</p>
<pre><code>git clone https://github.com/rrwick/Filtlong.git
cd Filtlong
make -j
bin/filtlong -h
</code></pre><p>Address of the bookmark: <a href="https://github.com/rrwick/Filtlong" rel="nofollow">https://github.com/rrwick/Filtlong</a></p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25303/ciab-recruits-scientist-engineer-informatics-officer</guid>
  <pubDate>Sat, 28 Nov 2015 03:40:28 -0600</pubDate>
  <link></link>
  <title><![CDATA[CIAB Recruits Scientist, Engineer, Informatics Officer]]></title>
  <description><![CDATA[
<p>Center of Innovative and Applied Bioprocessing (CIAB) - Punjab</p>

<p>Center of Innovative and Applied Bioprocessing (CIAB) invites applications to recruit on vacant posts of Scientist, Associate Plant Manager/ Plant Engineer, Informatics Officer. Applications against these Government Jobs can be submitted on or before 7th January 2016.<br />CIAB Vacancy 2015 Details</p>

<p>9. Research &amp; Development – Informatics Officer<br />Qualification: M. Tech or M.E. in computer science or information technology or bioinformatics with 4 years of R&amp;D experience (after Master’s Degree) in an R&amp;D organization with work profile of large data assembly, analysis.<br />Age Limit: 45 years<br />How to Apply : Duly filled-in applications in prescribed application format along with copies of required documents should be reach to: Chief Exec</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42477/hifiasm-a-haplotype-resolved-assembler-for-accurate-hifi-reads</guid>
	<pubDate>Thu, 24 Dec 2020 10:03:36 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42477/hifiasm-a-haplotype-resolved-assembler-for-accurate-hifi-reads</link>
	<title><![CDATA[Hifiasm: a haplotype-resolved assembler for accurate Hifi reads]]></title>
	<description><![CDATA[<p><span>Hifiasm is a fast haplotype-resolved de novo assembler for PacBio Hifi reads. It can assemble a human genome in several hours and works with the California redwood genome, one of the most complex genomes sequenced so far. Hifiasm can produce primary/alternate assemblies of quality competitive with the best assemblers. It also introduces a new graph binning algorithm and achieves the best haplotype-resolved assembly given trio data.</span></p><p>Address of the bookmark: <a href="https://github.com/chhylp123/hifiasm" rel="nofollow">https://github.com/chhylp123/hifiasm</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44171/hairsplitter-assembling-long-reads-in-an-unknown-number-of-haplotypes</guid>
	<pubDate>Wed, 07 Dec 2022 00:13:40 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44171/hairsplitter-assembling-long-reads-in-an-unknown-number-of-haplotypes</link>
	<title><![CDATA[HairSplitter: assembling long reads in an unknown number of haplotypes]]></title>
	<description><![CDATA[<p>Pros and cons of HairSplitter Limitations of HairSplitter:</p>
<p>Not very fast: it re-polishes the whole assembly&nbsp;</p>
<p>Limited in the number of haplotypes</p>
<p>Strengths of HairSplitter:</p>
<p>Very modular, can be used with any assembler</p>
<p>Naive: makes no assumption on ploidy, parameter-free</p>
<p>Safe: won&rsquo;t artificially duplicate contigs</p>
<p>&nbsp;</p>
<p>HairSplitter splits collapsed assemblies from &ldquo;draft&rdquo; assemblies obtained by any means</p>
<p>HairSplitter can recover haplotypes and distinguish repeated elements</p>
<p>Only needs sequencing reads, potentially error-prone</p>
<p>HairSplitter splits collapsed assemblies from &ldquo;draft&rdquo; assemblies obtained by any means</p>
<p>HairSplitter can recover haplotypes and distinguish repeated elements</p>
<p>Only needs sequencing reads, potentially error-prone</p>
<p>Not really available yet (github.com/RolandFaure/HairSplitter)</p>
<p>https://hal.archives-ouvertes.fr/hal-03864075/file/RolandFaure_presentation_SeqBIM_2022.pdf</p><p>Address of the bookmark: <a href="https://hal.archives-ouvertes.fr/hal-03817928/document" rel="nofollow">https://hal.archives-ouvertes.fr/hal-03817928/document</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

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