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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/36880?offset=810</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/view/2044</guid>
	<pubDate>Mon, 12 Aug 2013 12:19:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/view/2044</link>
	<title><![CDATA[Does anyone have Nanopore latest updates?]]></title>
	<description><![CDATA[<p>There was a lot of buzz about&nbsp;<span>Oxford Nanopore Technologies&reg; is developing the GridION&trade; system and miniaturised MinION&trade; device. These are a new generation of electronic molecular analysis system for use in scientific research, personalised medicine, crop science, security/defence and more. The platform technology uses nanopores to analyse single molecules including DNA/RNA and proteins. With a broad patent portfolio, the Oxford Nanopore pipeline includes biological nanopores and solid-state nanopores.</span></p><p>Is this available, or still under trial mode?&nbsp;</p><p><a href="https://www.nanoporetech.com/">https://www.nanoporetech.com/</a></p><p><a href="https://www.nanoporetech.com/technology/the-minion-device-a-miniaturised-sensing-system/the-minion-device-a-miniaturised-sensing-system">https://www.nanoporetech.com/technology/the-minion-device-a-miniaturised-sensing-system/the-minion-device-a-miniaturised-sensing-system</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22615/jrf-position-%E2%80%93-bioinformatics-department-aravind-medical-research-foundation-amrf-madurai</guid>
  <pubDate>Fri, 12 Jun 2015 05:42:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF Position – Bioinformatics Department, Aravind Medical Research Foundation (AMRF), Madurai.]]></title>
  <description><![CDATA[
<p>Applications are invited from eligible candidates for the post of Junior Research Fellow (JRF) to work at the Department of Bioinformatics, Aravind Medical Research Foundation in the following DST-SERB funded project “Clinical exome analysis pipeline for eye disease next-generation sequencing panel”.</p>

<p>Post: Junior Research Fellow (1 Position)</p>

<p>Duration: Three years</p>

<p>Qualification: First class in M.Sc/M.tech in Bioinformatics/Life Sciences/Biophysics/ Biostatistics/Bioengineering. Experience in Database development, NGS data analysis, Systems Biology and Structural Bioinformatics is desired. Preference will be given to the candidates with good computer programming skills in C, C++, R, Perl, PHP, Unix Scripting etc.</p>

<p>Selected candidates will be paid fellowship as per existing DST norms.</p>

<p>How to apply:</p>

<p>Candidates are requested to apply through one of the two modes given below<br />1. Online application – Click here to submit the online application https://docs.google.com/forms/d/16h2GLnQ-Ny-tLtlgfY3Bx3sCjeHJE30cfhJaDqW_uRs/viewform?c=0&amp;w=1<br />2. Application forms can be downloaded from here.https://docs.google.com/file/d/0BwwJEudQStxFWXdNWXl4NWtDaWc/edit<br /> Filled in application form should be sent by post to Dr. D. Bharanidharan, Department of Bioinformatics, Aravind Medical Research Foundation No 1, Anna Nagar Madurai – 625 020,</p>

<p>Candidates should apply by online or submit their applications by post on or before 15th June, 2015. Only Short listed candidates will be called for an interview. No TA/DA will be paid.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/18741/a-powerful-yet-simple-gene-set-analysis-tool-for-interpreting-rna-seq-and-ngs-results</guid>
	<pubDate>Thu, 30 Oct 2014 09:19:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/18741/a-powerful-yet-simple-gene-set-analysis-tool-for-interpreting-rna-seq-and-ngs-results</link>
	<title><![CDATA[A powerful, yet simple, gene set analysis tool for interpreting RNA-seq and NGS results.]]></title>
	<description><![CDATA[<p>LifeMap Sciences is introducing&nbsp;<a href="http://geneanalytics.genecards.org/">GeneAnalytics</a>, our new gene set analysis tool, which is applicable for NGS results and differentially expressed gene lists from variable sources. GeneAnalytics provides&nbsp;gene associations with tissues &amp; cells, diseases, pathways, GO terms and compounds.</p><p>Our main advantages over other similar tools are:</p><ul>
<li>GeneAnalytics is very simple and intuitive to use.</li>
<li>GeneAnalytics is based on our proprietary databases &ndash;&nbsp;<strong>GeneCards</strong>, MalaCards, PathCards and LifeMap Discovery, each of them integrates information from a very large number of resources.</li>
<li>GeneAnalytics supplies links for extensive background information on each of the matched results.</li>
</ul><p>&nbsp;</p><p>I invite you to try it out for free at&nbsp;geneanalytics.genecards.org, and would be happy to hear your comments and thoughts on how we can improve.</p><p>&nbsp;</p><p>Yours,</p><p>Shani Ben-Ari Fuchs</p><p>LifeMap Sciences Team</p>]]></description>
	<dc:creator>Shani</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/22571/pattern-matching-problem-solution-with-perl</guid>
	<pubDate>Tue, 09 Jun 2015 23:58:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/22571/pattern-matching-problem-solution-with-perl</link>
	<title><![CDATA[Pattern Matching Problem Solution with Perl]]></title>
	<description><![CDATA[<p>Problem at http://rosalind.info/problems/1c/</p><p>#Find all occurrences of a pattern in a string.<br />#Given: Strings Pattern and Genome.<br />#Return: All starting positions in Genome where Pattern appears as a substring. Use 0-based indexing.<br /><br />use strict;<br />use warnings;<br /><br />my $string="GATATATGCATATACTT";<br />my $subStr="ATAT";<br />my $kmer=length($subStr);<br /><br />kmerMatch ($string, $subStr, $kmer);<br /><br />sub kmerMatch { #Check the exact matching kmers with sliding window<br />my ($string, $myStr, $kmer)=@_;<br />for (my $aa=0; $aa&lt;=(length($string)-$kmer); $aa++) {<br />&nbsp;&nbsp;&nbsp; my $myWin=substr&nbsp; $string, $aa,$kmer;<br />&nbsp;&nbsp;&nbsp; if ($myWin eq $myStr) {<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; #print "$myWin eq $myStr\n";<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; print $aa;<br />&nbsp;&nbsp;&nbsp; }<br />}<br />}</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35418/karyoploter-plot-whole-genomes-with-arbitrary-data</guid>
	<pubDate>Fri, 02 Feb 2018 03:24:28 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35418/karyoploter-plot-whole-genomes-with-arbitrary-data</link>
	<title><![CDATA[karyoploteR: plot whole genomes with arbitrary data]]></title>
	<description><![CDATA[<p><span><a href="http://bioconductor.org/packages/karyoploteR">karyoploteR</a></span><span>&nbsp;is an R package to create karyoplots, that is, representations of whole genomes with arbitrary data plotted on them. It is inspired by the R base graphics system and does not depend on other graphics packages. The aim of karyoploteR is to offer the user an easy way to plot data along the genome to get broad genome-wide view to facilitate the identification of genome wide relations and distributions.</span></p><p>Address of the bookmark: <a href="https://bernatgel.github.io/karyoploter_tutorial/" rel="nofollow">https://bernatgel.github.io/karyoploter_tutorial/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/22769/ensembl-27</guid>
	<pubDate>Tue, 16 Jun 2015 16:10:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/22769/ensembl-27</link>
	<title><![CDATA[Ensembl 27]]></title>
	<description><![CDATA[<h3>What is new?</h3><ul>
<li>Expansion of Protists and Fungi with hundreds of annotated genomes</li>
<li>Variation data for bread wheat, rice, <em>Aedes aegypti</em>, and <em>Ixodes scapularis</em></li>
<li>Whole genome alignments for <em>O. longistaminata</em> and <em>T. cacao</em></li>
<li>Non-coding RNA gene models in <a href="http://bacteria.ensembl.org">Bacteria</a></li>
<li>New assembly of tomato (version 2.50)</li>
<li>Full support for UCSC Track Hub format for hosting your own data in Ensembl</li>
</ul><p>More at http://www.ensembl.info/blog/2015/06/16/ensembl-genomes-release-27-is-out/</p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32946/grass-a-generic-algorithm-for-scaffolding-next-generation-sequencing-assemblies</guid>
	<pubDate>Tue, 23 May 2017 05:20:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32946/grass-a-generic-algorithm-for-scaffolding-next-generation-sequencing-assemblies</link>
	<title><![CDATA[GRASS: a generic algorithm for scaffolding next-generation sequencing assemblies.]]></title>
	<description><![CDATA[<p><span>GRASS (GeneRic ASsembly Scaffolder)-a novel algorithm for scaffolding second-generation sequencing assemblies capable of using diverse information sources. GRASS offers a mixed-integer programming formulation of the contig scaffolding problem, which combines contig order, distance and orientation in a single optimization objective. The resulting optimization problem is solved using an expectation-maximization procedure and an unconstrained binary quadratic programming approximation of the original problem. We compared GRASS with existing HTS scaffolders using Illumina paired reads of three bacterial genomes. Our algorithm constructs a comparable number of scaffolds, but makes fewer errors. This result is further improved when additional data, in the form of related genome sequences, are used.</span></p><p>Address of the bookmark: <a href="https://github.com/AlexeyG/GRASS" rel="nofollow">https://github.com/AlexeyG/GRASS</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22780/ra-bioinformatics-at-institution-centre-for-human-genetics-bangalore</guid>
  <pubDate>Wed, 17 Jun 2015 19:14:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at Institution: Centre for Human Genetics,  Bangalore]]></title>
  <description><![CDATA[
<p>Institution: Centre for Human Genetics, <br />Bangalore <br />Discipline: Molecular Genetics of Human Disease Biology </p>

<p>Minimum qualification: MSc in any branch of life sciences</p>

<p>Applications are invited for the position of a Research Assistant in the Centre for Human Genetics, Bangalore. </p>

<p>The project involves identification of mutations in MPS (mucopolysaccharidosis) patients, and study of their predicted effects to understand how the mutations lead to disease. </p>

<p>Techniques used will be genomic DNA isolation, PCR, DNA sequencing and sequence analysis. Computational tools would also be used to analyse and interpret data. </p>

<p>Candidates may be assigned work in the ongoing project or in new ones. </p>

<p>The candidate who is selected and joins would acquire hands-on experience in research and the capability to conduct insightful research. </p>

<p>Candidates applying for the position should have an MSc in any branch of life sciences. Those with research experience in cell and molecular biology, and high NET/ GATE score would be preferred. </p>

<p>The successful applicant is expected to stay for at least one and a half years. </p>

<p>Please apply with CV to Sudha Srinivasan (sudha@ibab.ac.in), stating where you saw this ad.</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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/22961/bioscripts</guid>
	<pubDate>Sun, 28 Jun 2015 07:46:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/22961/bioscripts</link>
	<title><![CDATA[BioScripts]]></title>
	<description><![CDATA[<p>You are requested to please bookmark collection of bioinformatics tools, scripts, codes that can be pieced together in a very easy and flexible manner to perform both simple and complex bioinformatics tasks.</p>
<p>The next-generation sequencing included whole genome sequencing(WGS), transcriptome sequencing (whole cDNA sequencing, RNA-seq), digital gene expression sequencing (Tag-Seq), ChIP-Seq, and so on. And there are many sequencing platform to generate sequece, as well know Sanger/ABi(the frist generation), Solexa/illumina, SOLiD/ABi, 454/Roche. But thier sequence format is different, also they have different error type. High quality data is very important for further analysis or data mining. There are many pipeline for raw sequence quality analysis and control with few of process for reporting reads quality statistical details, trimming, filtering, and error correction. Please bookmarks them for the benefits of bioinformatics community.</p>
<p>https://code.google.com/p/biowiki/</p>
<p>https://code.google.com/p/ngs-pipeline/source/browse/#svn%2Ftrunk</p>
<p>NGSand Perl scripts https://code.google.com/hosting/search?q=NGS+perl&amp;projectsearch=Search+projects</p>
<p>NGS and Python scripts https://code.google.com/hosting/search?q=NGS+Python&amp;projectsearch=Search+projects</p><p>Address of the bookmark: <a href="https://code.google.com/hosting/search?q=bioinformatics&amp;sa=Search" rel="nofollow">https://code.google.com/hosting/search?q=bioinformatics&amp;sa=Search</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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