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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28855?offset=420</link>
	<atom:link href="https://bioinformaticsonline.com/related/28855?offset=420" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36935/assemblytics-delta-file-to-analyze-alignments-of-an-assembly-to-another-assembly-or-a-reference-genome</guid>
	<pubDate>Thu, 14 Jun 2018 07:31:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36935/assemblytics-delta-file-to-analyze-alignments-of-an-assembly-to-another-assembly-or-a-reference-genome</link>
	<title><![CDATA[assemblytics: delta file to analyze alignments of an assembly to another assembly or a reference genome]]></title>
	<description><![CDATA[Download and install MUMmer
Align your assembly to a reference genome using nucmer (from MUMmer package)
$ nucmer -maxmatch -l 100 -c 500 REFERENCE.fa ASSEMBLY.fa -prefix OUT
Consult the MUMmer manual if you encounter problems

Optional: Gzip the delta file to speed up upload (usually 2-4X faster)
$ gzip OUT.delta
Then use the OUT.delta.gz file for upload.
Upload the .delta or delta.gz file (view example) to Assemblytics
Important: Use only contigs rather than scaffolds from the assembly. This will prevent false positives when the number of Ns in the scaffolded sequence does not match perfectly to the distance in the reference.

The unique sequence length required represents an anchor for determining if a sequence is unique enough to safely call variants from, which is an alternative to the mapping quality filter for read alignment.

http://assemblytics.com/<p>Address of the bookmark: <a href="http://assemblytics.com/" rel="nofollow">http://assemblytics.com/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/37396/converting-a-vcf-into-a-fasta-given-some-reference</guid>
	<pubDate>Fri, 20 Jul 2018 10:03:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/37396/converting-a-vcf-into-a-fasta-given-some-reference</link>
	<title><![CDATA[Converting a VCF into a FASTA given some reference !]]></title>
	<description><![CDATA[<p>Samtools/BCFtools (Heng Li) provides a Perl script&nbsp;<a href="https://github.com/lh3/samtools/blob/master/bcftools/vcfutils.pl"><code>vcfutils.pl</code></a>&nbsp;which does this, the function&nbsp;<code>vcf2fq</code>&nbsp;(lines 469-528)</p><p>This script has been modified by others to convert InDels as well, e.g.&nbsp;<a href="https://github.com/gringer/bioinfscripts/blob/master/vcf2fq.pl">this</a>&nbsp;by David Eccles</p><pre><code><span>./</span><span>vcf2fq</span><span>.</span><span>pl </span><span>-</span><span>f </span><span>&lt;</span><span>input</span><span>.</span><span>fasta</span><span>&gt;</span><span> </span><span>&lt;</span><span>all</span><span>-</span><span>site</span><span>.</span><span>vcf</span><span>&gt;</span><span> </span><span>&gt;</span><span> </span><span>&lt;</span><span>output</span><span>.</span><span>fastq</span><span>&gt;</span></code></pre><p>https://github.com/gringer/bioinfscripts/blob/master/vcf2fq.pl</p><p>https://github.com/lh3/samtools/blob/master/bcftools/vcfutils.pl</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37840/long-read-assembly-workshop</guid>
	<pubDate>Thu, 04 Oct 2018 17:23:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37840/long-read-assembly-workshop</link>
	<title><![CDATA[Long read assembly workshop !]]></title>
	<description><![CDATA[<p>This is a tutorial for a workshop on long-read (PacBio) genome assembly.</p>
<p>It demonstrates how to use long PacBio sequencing reads to assemble a bacterial genome, and includes additional steps for circularising, trimming, finding plasmids, and correcting the assembly with short-read Illumina data.</p>
<p>&nbsp;Please comment if you know any other long read addembly tutorial.</p><p>Address of the bookmark: <a href="http://sepsis-omics.github.io/tutorials/modules/cmdline_assembly_v2/" rel="nofollow">http://sepsis-omics.github.io/tutorials/modules/cmdline_assembly_v2/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38413/genobuntu-a-software-package-containing-more-than-70-software-and-packages-oriented-towards-ngs-and-genome-assembly</guid>
	<pubDate>Tue, 11 Dec 2018 05:15:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38413/genobuntu-a-software-package-containing-more-than-70-software-and-packages-oriented-towards-ngs-and-genome-assembly</link>
	<title><![CDATA[Genobuntu: A software package containing more than 70 software and packages oriented towards NGS and genome assembly]]></title>
	<description><![CDATA[<p><span>Genobuntu is a software package containing more than 70 software and packages oriented towards NGS. In its current version, Genobuntu supports pre assembly tools, genome assemblers as well as post assembly tools.&nbsp;</span><br><br><span>Commonly used biological software and example script files for different assembly pipelines have also been provided, where the example script files can be updated to suit one&rsquo;s experimental needs. Genobuntu attempts to reduce the amount of time and energy needed to build software workstations and it can also act as a good teaching source for a class room setting.&nbsp;</span></p>
<p>https://sourceforge.net/projects/genobuntu/</p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/genobuntu/" rel="nofollow">https://sourceforge.net/projects/genobuntu/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/7913/the-genome-factory</guid>
	<pubDate>Thu, 16 Jan 2014 02:09:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/7913/the-genome-factory</link>
	<title><![CDATA[The genome factory !!!]]></title>
	<description><![CDATA[<p>Illumina, Inc. announced Tuesday that its new HiSeq X Ten Sequencing System has broken the &ldquo;sound barrier&rdquo; of human genomics by enabling the $1,000 genome. &ldquo;This platform includes dramatic technology breakthroughs that enable researchers to undertake studies of unprecedented scale by providing the throughput to sequence tens of thousands of human whole genomes in a single year in a single lab,&rdquo; Illumina stated.</p><p>Initial customers for the HiSeq X Ten System, which will ship in Q1 2014, include Macrogen, based in Seoul, South Korea and its CLIA laboratory in Rockville, Maryland, the Broad Institute in Cambridge, Massachusetts, and the Garvan Institute of Medical Research in Sydney, Australia.</p><p>&ldquo;For the first time, it looks like it will be possible to deliver the $1,000 genome, which is tremendously exciting,&rdquo; said Eric Lander, founding director of the Broad Institute and a professor of biology at MIT. &ldquo;The HiSeq X Ten should give us the ability to analyze complete genomic information from huge sample populations. Over the next few years, we have an opportunity to learn as much about the genetics of human disease as we have learned in the history of medicine.&rdquo;</p><p>&ldquo;The HiSeq X Ten is an ideal platform for scientists and institutions focused on the discovery of genotypic variation to enable a deeper understanding of human biology and genetic disease,&rdquo; Illumina stated. &ldquo;It can sequence tens of thousands of samples annually with high-quality, high-coverage sequencing, delivering a comprehensive catalog of human variation within and outside coding regions.&rdquo;</p><p>HiSeq X Ten utilizes a number of advanced design features to generate massive throughput. Patterned flow cells, which contain billions of nanowells at fixed locations, combined with a new clustering chemistry deliver a significant increase in data density (6 billion clusters per run). Using state-of-the art optics and faster chemistry, HiSeq X Ten can process sequencing flow cells more quickly than ever before &mdash; generating a 10x increase in daily throughput when compared to current HiSeq 2500 performance.</p><p>The HiSeq X Ten is sold as a set of 10 or more ultra-high throughput sequencing systems, each generating up to 1.8 terabases (Tb) of sequencing data in less than three days or up to 600 gigabases (Gb) per day, per system, providing the throughput to sequence tens of thousands of high-quality, high-coverage genomes per year. Illumina says the $1,000 includes typical instrument depreciation, DNA extraction, library preparation, and estimated labor.</p>]]></description>
	<dc:creator>Madhvan Reddy</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7933/senior-programmer-biotech-park</guid>
  <pubDate>Mon, 20 Jan 2014 04:50:36 -0600</pubDate>
  <link></link>
  <title><![CDATA[SENIOR PROGRAMMER @ Biotech Park]]></title>
  <description><![CDATA[
<p>Advt. No. (1)/BP/2014<br />A walk-in-interview will be held in the Biotech Park Office at Sector G, Jankipuram, Kursi Road, Lucknow (U.P.) January 31, 2014 at 11.00 A.M. for the following posts of DBT sponsored project tenable at Biotech Park. Interested candidates fulfilling the requisite qualifications, experience and age as given below, on the date of interview, may appear before the Selection Committee. The candidate will have to join immediately. Appointment will be made initially for six months extendable on satisfactory performance till the duration of the project.<br />INTERVIEW ON January 31, 2014 at 11.00 A.M.<br /> <br />SENIOR PROGRAMMER (ONE POST)<br />Educational Qualification<br />M.Sc./B. Tech Bioinformatics with minimum 60% marks with two years of relevant experience	<br />Job Requirement	<br />Development of databases in multi user environment and application softwares, updating and maintenance of website, Drug designing and QSAR study etc.<br />Desirable<br />Knowledge of Bioinformatics tools, Windows, Linux, C++, JAVA / JAVA Script, Visual Basic, CGI, DBMS/RDBMS and HTML. Experience in various domains of bioinformatics such as structure based drug designing, Newtonian dynamics and QSAR studies.<br />Age<br />Below 35 years (as on the date of interview)<br />Emoluments<br />Rs. 12,000/- per month fixed.<br />Note: All the candidates should report for interview on or before 10.30 A.M<br />General Conditions<br />The aforesaid positions are purely temporary and do not give the incumbent any right whatsoever for appointment on regular basis.<br />The applicant will have to submit typed and duly signed application on plain paper on the day of interview stating:<br />    (a) Advertisement No.<br />    (b) Position applied for<br />    (c) Name of Applicant (in Block letters)<br />    (d) Father’s Name<br />    (e) Date of Birth<br />    (f) Sex<br />    (g) Age as on the date of interview (dd / mm / yy )<br />    (h) Address (Permanent &amp; correspondence)<br />    (i) Educational Qualifications (High School onwards) with examination passed, year, % marks, subjects<br />    (j) Employment experience, if any i.e. Name of employer, nature of employment, date of joining and leaving.<br />Applications must be accompanied by a latest passport size photograph and attested copies of certificates<br />Original certificates/degree and testimonials should be produced by the candidate for verification at the time of interview.</p>

<p>Tenure: Initially upto six months and extendable based on performance.<br />The upper age limit can be relaxed up to 5 years in the case of applicant belonging to SC/ST/Woman/Physically handicapped and 3 years for OBCs.<br />No TA/DA will be paid for attending the interview.<br />More at http://www.biotechpark.org.in/index1.htm</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8384/post-doc-in-genomics-of-fungi</guid>
  <pubDate>Tue, 18 Feb 2014 13:47:08 -0600</pubDate>
  <link></link>
  <title><![CDATA[Post-doc in Genomics of Fungi]]></title>
  <description><![CDATA[
<p>Post-doc in Genomics of Fungi</p>

<p>Fungi are of central importance for the global carbon cycle because of<br />their role in the degredation of complex organic matter such as plant<br />material. Fungi also represent one of the last frontiers of<br />biodiversity, as their taxonomic diversity and metabolic potential<br />remain poorly understood. This is particularly true for those fungi that<br />are abundant in freshwaters.</p>

<p>\"MycoLink\" (Linking aquatic mycodiversity to ecosystem function) is an interdisciplinary project integrating the expertise of 4 Leibniz Institutes: IGB, ZALF, DSMZ, the Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), the Leibniz Centre for Agricultural Landscape Research (ZALF), and the Leibniz-Institute of Zoo- and Wildlife Research in Berlin (IZW). We are seeking to recruit outstanding young scientists to establish an innovative research program, and currently invite applications for:</p>

<p>PostDoc will focus on global biodiversity and evolutionary genomics of freshwater fungi, using second- and third-generation sequencing and bioinformatics to analyse natural populations and experimental cultures. For further information, contact Michael T. Monaghan (monaghan@igb-berlin.de) (http://monaghanlab.org).</p>

<p>PostDoc will focus on the ecological and functional role of aquatic fungi by combining state-of-the-art biochemical analyses with modeling in experimental and natural ecosystems. For further information, contact Hans-Peter Grossart &amp; Katrin Premke (hgrossart@igb-berlin.de; premke@igb-berlin.de)</p>

<p>Applicants must hold a PhD in a relevant field. Positions are available for up to three years. Salary is according to the German TvD. Positions will be based at IGB Berlin, IGB Neuglobsow, and at the Berlin Centre for Genomics in Biodiversity Research. The institutes of the Leibniz Association strive to increase the proportion of female scientists. Therefore, female candidates are specifically encouraged to apply. Disabled applicants with identical technical and personal qualification will be preferentially selected.</p>

<p>Please submit a curriculum vitae (including publication list), a brief statement of motivation and research interests, and the names and contact information of two referees. Please send all documents as a single pdf file to monaghan@igb-berlin.de. </p>

<p>Review of the applications will start on 21 February 2014 and continue until the positions are filled. Interviews for shortlisted applicants will take place in March.</p>

<p>Biodiversity, Ecology, and Genomics of Aquatic Fungi<br />Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany</p>

<p>Deadline for applications : unknown.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38672/ltr-retriever-accurately-identifies-and-annotates-ltr-retrotransposons-and-use-lai-to-evaluates-the-continuity-of-genome-assemblies</guid>
	<pubDate>Sun, 13 Jan 2019 07:14:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38672/ltr-retriever-accurately-identifies-and-annotates-ltr-retrotransposons-and-use-lai-to-evaluates-the-continuity-of-genome-assemblies</link>
	<title><![CDATA[LTR_retriever: accurately identifies and annotates LTR retrotransposons and use LAI to evaluates the continuity of genome assemblies.]]></title>
	<description><![CDATA[<p>LTR_retriever is a command line program (in Perl) for accurate identification of LTR retrotransposons (LTR-RTs) from outputs of LTRharvest, LTR_FINDER, and/or MGEScan-LTR and generating non-redundant LTR-RT library for genome annotations.</p>
<p>By default, the program will generate whole-genome LTR-RT annotation and the LTR Assembly Index (LAI) for evaluations of the assembly continuity of the input genome. Users can also run LAI separately (see&nbsp;<code>Usage</code>).</p><p>Address of the bookmark: <a href="https://github.com/oushujun/LTR_retriever" rel="nofollow">https://github.com/oushujun/LTR_retriever</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8122/internships-indian-institute-of-science</guid>
  <pubDate>Sun, 02 Feb 2014 03:05:58 -0600</pubDate>
  <link></link>
  <title><![CDATA[Internships @ Indian Institute of Science]]></title>
  <description><![CDATA[
<p>Internships available for Bachelors and Masters students</p>

<p>Each node will host student interns interested in pursuing a research career in mathematical or computational biology at institutions located in its region.</p>

<p>Eligibility: Bachelors (3rd or 4th year) and Masters students</p>

<p>Average duration: 3 months (could be more in certain cases). These internships can be availed at any time during 2014 subject to consent from the faculty mentor.</p>

<p>Fellowship amount: Rs. 10,000 per month. In addition, outstation interns can receive up to Rs. 5000 per month for accommodation and Rs. 3000 for travel from and to their home place.</p>

<p>Application procedure: Apply online at http://nnmcb.appzone.co.in/</p>

<p>Deadline: February 10, 2014</p>

<p>Contact Information:</p>

<p>National Network for Mathematical and Computational Biology</p>

<p>Department of Mathematics</p>

<p>Indian Institute of Science</p>

<p>Bangalore 560 012</p>

<p>Tel: 080-2293 2893</p>

<p>Email: nnmcb@math.iisc.ernet.in</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39253/gmass-a-novel-measure-for-genomeassembly-structural-similarity</guid>
	<pubDate>Sun, 14 Apr 2019 20:35:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39253/gmass-a-novel-measure-for-genomeassembly-structural-similarity</link>
	<title><![CDATA[GMASS: a novel measure for genomeassembly structural similarity]]></title>
	<description><![CDATA[<div id="Abstract">
<div id="ASec3">
<p id="Par3">The GMASS score is a novel measure for representing structural similarity between two assemblies. It will contribute to the understanding of assembly output and developing de novo assemblers.</p>
<p><a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2710-z">https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2710-z</a></p>
</div>
</div><p>Address of the bookmark: <a href="http://bioinfo.konkuk.ac.kr/GMASS/htdocs/syncircos.php" rel="nofollow">http://bioinfo.konkuk.ac.kr/GMASS/htdocs/syncircos.php</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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