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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/29679?offset=210</link>
	<atom:link href="https://bioinformaticsonline.com/related/29679?offset=210" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29274/strudel</guid>
	<pubDate>Fri, 30 Sep 2016 09:47:02 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29274/strudel</link>
	<title><![CDATA[Strudel]]></title>
	<description><![CDATA[<p>Strudel is our graphical tool for visualizing genetic and physical maps of genomes for comparative purposes. The application aims to let the user examine their data at a variety of different levels of resolution, from entire maps to individual markers, and explore syntenic relationships between genomes. All browsing and interaction with Strudel happens in real-time &ndash; there is no need to wait while the maps are generated. It is built using Java 1.6 and ships with its own JRE, so there is no need for users to install or update Java.</p><p>Address of the bookmark: <a href="https://ics.hutton.ac.uk/strudel/" rel="nofollow">https://ics.hutton.ac.uk/strudel/</a></p>]]></description>
	<dc:creator>Anjana</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29284/genebreak-a-tool-to-systematically-identify-genes-recurrently-affected-by-the-genomic-location-of-chromosomal-cna-associated-breaks-by-a-genome-wide-approach</guid>
	<pubDate>Sat, 01 Oct 2016 15:15:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29284/genebreak-a-tool-to-systematically-identify-genes-recurrently-affected-by-the-genomic-location-of-chromosomal-cna-associated-breaks-by-a-genome-wide-approach</link>
	<title><![CDATA[GeneBreak: a tool to systematically identify genes recurrently affected by the genomic location of chromosomal CNA-associated breaks by a genome-wide approach]]></title>
	<description><![CDATA[<p>Development of cancer is driven by somatic alterations, including numerical and structural chromosomal aberrations. Currently, several computational methods are available and are widely applied to detect numerical copy number aberrations (CNAs) of chromosomal segments in tumor genomes. However, there is lack of computational methods that systematically detect structural chromosomal aberrations by virtue of the genomic location of CNA-associated chromosomal breaks and identify genes that appear non-randomly affected by chromosomal breakpoints across (large) series of tumor samples. ‘GeneBreak’ is developed to systematically identify genes recurrently affected by the genomic location of chromosomal CNA-associated breaks by a genome-wide approach, which can be applied to DNA copy number data obtained by array-Comparative Genomic Hybridization (CGH) or by (low-pass) whole genome sequencing (WGS). First, ‘GeneBreak’ collects the genomic locations of chromosomal CNA-associated breaks that were previously pinpointed by the segmentation algorithm that was applied to obtain CNA profiles. Next, a tailored annotation approach for breakpoint-to-gene mapping is implemented. Finally, dedicated cohort-based statistics is incorporated with correction for covariates that influence the probability to be a breakpoint gene. In addition, multiple testing correction is integrated to reveal recurrent breakpoint events. This easy-to-use algorithm, ‘GeneBreak’, is implemented in R (www.cran.r-project.org) and is available from Bioconductor (www.bioconductor.org/packages/release/bioc/html/GeneBreak.html).</p>
<p> </p><p>Address of the bookmark: <a href="http://www.bioconductor.org/packages/release/bioc/html/GeneBreak.html" rel="nofollow">http://www.bioconductor.org/packages/release/bioc/html/GeneBreak.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29992/spines</guid>
	<pubDate>Mon, 28 Nov 2016 05:33:26 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29992/spines</link>
	<title><![CDATA[Spines]]></title>
	<description><![CDATA[<p><a href="https://www.broadinstitute.org/ftp/distribution/software/spines/"><em>Spines</em></a>&nbsp;is a collection of software tools, developed and used by the Vertebrate Genome Biology Group at the Broad Institute. It provides basic data structures for efficient data manipulation (mostly genomic sequences, alignments, variation etc.), as well as specialized tool sets for various analyses. It also features three sequence alignment packages:&nbsp;<em>Satsuma,</em>&nbsp;a highly parallelized program for high-sensitivity, genome-wide synteny;&nbsp;<em>Papaya,</em>&nbsp;an all-purpose alignment tool for less diverged sequences; and&nbsp;<em>SLAP,</em>&nbsp;a context-sensitive local aligner for diverged sequences with large gaps.</p>
<p>Access&nbsp;<em>Spines</em>&nbsp;<a href="https://www.broadinstitute.org/ftp/distribution/software/spines/">here</a>.</p><p>Address of the bookmark: <a href="https://www.broadinstitute.org/genome-sequencing-and-analysis/spines" rel="nofollow">https://www.broadinstitute.org/genome-sequencing-and-analysis/spines</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30236/pyscaf</guid>
	<pubDate>Mon, 19 Dec 2016 14:20:33 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30236/pyscaf</link>
	<title><![CDATA[pyScaf]]></title>
	<description><![CDATA[<p>pyScaf orders contigs from genome assemblies utilising several types of information:</p>
<ul>
<li>paired-end (PE) and/or mate-pair libraries (<a href="https://github.com/lpryszcz/pyScaf#ngs-based-scaffolding">NGS-based mode</a>)</li>
<li>long reads (<a href="https://github.com/lpryszcz/pyScaf#scaffolding-based-on-long-reads">NGS-based mode</a>)</li>
<li>synteny to the genome of some related species (<a href="https://github.com/lpryszcz/pyScaf#reference-based-scaffolding">reference-based mode</a>)</li>
</ul>
<p>Scaffolding&nbsp;</p>
<p>In reference-based mode, pyScaf uses synteny to the genome of closely related species in order to order contigs and estimate distances between adjacent contigs.</p>
<p>Contigs are aligned globally (end-to-end) onto reference chromosomes, ignoring:</p>
<ul>
<li>matches not satisfying cut-offs (<code>--identity</code>&nbsp;and&nbsp;<code>--overlap</code>)</li>
<li>suboptimal matches (only best match of each query to reference is kept)</li>
<li>and removing overlapping matches on reference.</li>
</ul>
<p>In preliminary tests, pyScaf performed superbly on simulated heterozygous genomes based on&nbsp;<em>C. parapsilosis</em>&nbsp;(13 Mb; CANPA) and&nbsp;<em>A. thaliana</em>&nbsp;(119 Mb; ARATH) chromosomes, reconstructing correctly all chromosomes always for CANPA and nearly always for ARATH (<a href="https://www.dropbox.com/sh/bb7lwggo40xrwtc/AAAZ7pByVQQQ-WhUXZVeJaZVa/pyScaf?dl=0">Figures in dropbox</a>,&nbsp;<a href="https://docs.google.com/spreadsheets/d/1InBExy-qKDLj-upd8tlPItVSKc4mLepZjZxB31ii9OY/edit#gid=2036953672">CANPA table</a>,&nbsp;<a href="https://docs.google.com/spreadsheets/d/1InBExy-qKDLj-upd8tlPItVSKc4mLepZjZxB31ii9OY/edit#gid=1920757821">ARATH table</a>).<br>Runs took ~0.5 min for CANPA on&nbsp;<code>4 CPUs</code>&nbsp;and ~2 min for ARATH on&nbsp;<code>16 CPUs</code>.</p>
<p><span>Important remarks:</span></p>
<ul>
<li>Reduce your assembly before (fasta2homozygous.py) as any redundancy will likely break the synteny.</li>
<li>pyScaf works better with contigs than scaffolds, as scaffolds are often affected by mis-assemblies (no&nbsp;<em>de novo assembler</em>&nbsp;/ scaffolder is perfect...), which breaks synteny.</li>
<li>pyScaf works very well if divergence between reference genome and assembled contigs is below 20% at nucleotide level.</li>
<li>pyScaf deals with large rearrangements ie. deletions, insertion, inversions, translocations.&nbsp;<span>Note however, this is experimental implementation!</span></li>
<li>Consider closing gaps after scaffolding.</li>
</ul><p>Address of the bookmark: <a href="https://github.com/lpryszcz/pyScaf" rel="nofollow">https://github.com/lpryszcz/pyScaf</a></p>]]></description>
	<dc:creator>Bulbul</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30304/mcscan</guid>
	<pubDate>Thu, 22 Dec 2016 03:53:58 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30304/mcscan</link>
	<title><![CDATA[MCscan]]></title>
	<description><![CDATA[<p><span>MCscan is a computer program that can simultaneously scan multiple genomes to identify homologous chromosomal regions and subsequently align these regions using genes as anchors. This is the toolset for generating the synteny correspondences in&nbsp;</span><a href="http://chibba.agtec.uga.edu/duplication">Plant Genome Duplication Database</a><span>. It is intended as an easy-to-use and quick way to identify conserved gene arrays both within the same genome and across different genomes.</span></p>
<p><span>More at&nbsp;http://chibba.agtec.uga.edu/duplication/mcscan/</span></p><p>Address of the bookmark: <a href="http://chibba.agtec.uga.edu/duplication/mcscan/" rel="nofollow">http://chibba.agtec.uga.edu/duplication/mcscan/</a></p>]]></description>
	<dc:creator>Bulbul</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30897/finestructure-v2-globetrotter</guid>
	<pubDate>Mon, 13 Feb 2017 08:40:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30897/finestructure-v2-globetrotter</link>
	<title><![CDATA[fineSTRUCTURE v2 &amp; GLOBETROTTER]]></title>
	<description><![CDATA[<p>Software available at this site</p>
<div>
<ul>
<li><a href="https://people.maths.bris.ac.uk/%7Emadjl/finestructure/finestructure_info.html">FineSTRUCTURE version 2</a>, a pipeline for running ChromoPainter and FineSTRUCTURE for population inference. A GUI is available for interpretation. Download from the <a href="https://people.maths.bris.ac.uk/%7Emadjl/finestructure/finestructure.html">Downloads</a> page.</li>
<li><a href="https://people.maths.bris.ac.uk/%7Emadjl/finestructure/finestructureR.html">FineSTRUCTURE R scripts</a>, a facility for exploring the results when the GUI is unavailable.</li>
<li><a href="https://people.maths.bris.ac.uk/%7Emadjl/finestructure/globetrotter.html">GLOBETROTTER</a>, the admixture dating method based on ChromoPainter. Download from the <a href="https://people.maths.bris.ac.uk/%7Emadjl/finestructure/finestructure.html">Downloads</a> page.</li>
<li><a href="https://people.maths.bris.ac.uk/%7Emadjl/finestructure/admixture.html">AdmixturePainting</a>, A set of R tools to inmterpret the results of ADMIXTURE and STRUCTURE-like mixture models.</li>
<li><a href="https://people.maths.bris.ac.uk/%7Emadjl/finestructure/radpainter.html">RADpainter</a>, finestructure and ChromoPainter for RAD tag data used for non-model organisms.</li>
<li>Scripts to perform many types of conversion. Included in the main software download from the <a href="https://people.maths.bris.ac.uk/%7Emadjl/finestructure/finestructure.html">Downloads</a> page.</li>
</ul>
What this page is This page provides information about and downloads for <strong>methodology for Chromosome Painting</strong>. It is not a facility to analyse your genome. Sorry if you were misled by the punchy name!<br> About Chromosome Painting Painting is an efficient way of identifying important haplotype information from dense genotype data. It describes ancestry in an efficient way suitable for a range of further analyses, including population identification and admixture dating.</div><p>Address of the bookmark: <a href="http://paintmychromosomes.com/" rel="nofollow">http://paintmychromosomes.com/</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31012/genomecomp</guid>
	<pubDate>Fri, 17 Feb 2017 08:38:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31012/genomecomp</link>
	<title><![CDATA[GenomeComp]]></title>
	<description><![CDATA[<p>GenomeComp is a tool for summarizing, parsing and visualizing the genome wide sequence comparison results derived from voluminous BLAST textual output, so as to locate the rearrangements, insertions or deletions of genome segments between species or strains.<br><br>It can be easily used to compare, parsing and visualize large genomic sequences, especially closely related genomes such as inter-species or inter-strains. In addition, it can also show other sequence features like repeat sequence distributions in one whole-genome DNA sequence by comparing the genome to itself.<br><br>It is a stand-alone graphical user interface (GUI) program which runs on Linux, Unix, Mac OS X (tested on version 10.2.4 only) and Microsoft Windows platforms and is written in Perl/Tk.</p><p>Address of the bookmark: <a href="http://www.mgc.ac.cn/GenomeComp/" rel="nofollow">http://www.mgc.ac.cn/GenomeComp/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/1466/iscb-asia-2013-translational-bioinformatics-conference</guid>
  <pubDate>Thu, 08 Aug 2013 06:31:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[ISCB-Asia 2013 Translational Bioinformatics Conference]]></title>
  <description><![CDATA[
<p>ISCB-Asia 2013<br />Translational Bioinformatics Conference<br />Seoul, Korea<br />October 2 - 4, 2013</p>

<p>For more information visit: http://www.snubi.org/TBC2013/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/1514/list-of-pharmacogenomics-companies-worldwide</guid>
	<pubDate>Fri, 09 Aug 2013 13:24:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/1514/list-of-pharmacogenomics-companies-worldwide</link>
	<title><![CDATA[List of pharmacogenomics companies worldwide]]></title>
	<description><![CDATA[<div><div><p>Pharmacogenomics are the most promising area of research. Here is the list of some Pharmacogenomics companies worldwide. Feel free to add more pharmacogenomics companies if not mentioned in here.</p><p>Great Pharmacogenomics companies <br /><a href="http://www.aruplab.com/">www.aruplab.com</a> <br /><a href="http://www.clarientinc.com/">www.clarientinc.com</a> <br /><a href="http://www.cns-hts.com/">www.cns-hts.com</a> <br /><a href="http://www.dnanow.com/">www.dnanow.com</a> <br /><a href="http://www.dnavision.be/">www.dnavision.be</a> <br /><a href="http://www.dnavision.com/">www.dnavision.com</a> <br /><a href="http://www.dxsdiagnostics.com/">www.dxsdiagnostics.com</a> <br /><a href="http://www.entrogen.com/">www.entrogen.com</a> <br /><a href="http://www.exiqon.com/">www.exiqon.com</a> <br /><a href="http://www.gene.com/">www.gene.com</a> <br /><a href="http://www.genomichealth.com/">www.genomichealth.com</a> <br /><a href="http://www.genoptix.com/">www.genoptix.com</a> <br /><a href="http://www.genpathdiagnostics.com/">www.genpathdiagnostics.com</a> <br /><a href="http://www.gentris.com/">www.gentris.com</a> <br /><a href="http://www.immunicon.com/">www.immunicon.com</a> <br /><a href="http://www.ingenuity.com/">www.ingenuity.com</a> <br /><a href="http://www.lab21.com/">www.lab21.com</a> <br /><a href="http://www.labcorp.com/">www.labcorp.com</a> <br /><a href="http://www.lion-ag.de/">www.lion-ag.de</a> <br /><a href="http://www.lynxgen.com/">www.lynxgen.com</a> <br /><a href="http://www.mayoclinic.com/">www.mayoclinic.com</a> <br /><a href="http://www.mesoscale.com/">www.mesoscale.com</a> <br /><a href="http://www.microcide.com/">www.microcide.com</a> <br /><a href="http://www.mitokor.com/">www.mitokor.com </a> <br /><a href="http://www.monarchlifesciences.com/">www.monarchlifesciences.com</a> <br /><a href="http://www.mplnet.com/">www.mplnet.com</a> <br /><a href="http://www.orchidbio.com/">www.orchidbio.com</a> <br /><a href="http://www.pebio.com/">www.pebio.com</a> <br /><a href="http://www.phenomenome.com/">www.phenomenome.com</a> <br /><a href="http://www.phenopath.com/">www.phenopath.com</a> <br /><a href="http://www.ppgx.com/">www.ppgx.com</a> <br /><a href="http://www.prometheuslabs.com/">www.prometheuslabs.com</a> <br /><a href="http://www.protogene.com/">www.protogene.com</a> <br /><a href="http://www.questdiagnostics.com/">www.questdiagnostics.com</a> <br /><a href="http://www.rigelinc.com/">www.rigelinc.com</a> <br /><a href="http://www.rii.com/">www.rii.com</a> <br /><a href="http://www.saladax.com/">www.saladax.com</a> <br /><a href="http://www.tmdlab.com/">www.tmdlab.com</a> <br /><a href="http://www.transgenomic.com/">www.transgenomic.com</a> <br /><a href="http://www.twt.com/">www.twt.com</a> <br /><a href="http://www.uslabs.net/">www.uslabs.net</a> <br /><a href="http://www.variagenics.com/">www.variagenics.com</a> <br /><br />Great Equipment Companies for Genomics <br /><a href="http://www.affymetrix.com/">www.affymetrix.com</a> <br /><a href="http://www.illumina.com/">www.illumina.com</a> <br /><a href="http://www.iontorrent.com/">www.iontorrent.com</a> <br /><a href="http://www.sequenom.com/">www.sequenom.com</a> <br /><a href="http://www.appliedbiosystems.com/">www.appliedbiosystems.com</a> <br /><a href="http://www.454.com/">www.454.com</a> <br /><a href="http://www.appliedbiosystems.com/">www.appliedbiosystems.com</a><br /><br />Genomics in India <br /><a href="http://www.ganitlabs.in/">www.ganitlabs.in</a> <br /><a href="http://www.sandor.co.in/">www.sandor.co.in</a> <br /><a href="http://www.igib.res.in/">www.igib.res.in</a> <br /><a href="http://www.genotypic.co.in/">www.genotypic.co.in</a> <br /><a href="http://www.ocimumbio.com/">www.ocimumbio.com</a> <br /><a href="http://www.abcgenomics.com/">www.abcgenomics.com</a> <br /><a href="http://www.xcelrisgenomics.com/">www.xcelrisgenomics.com</a> <br /><a href="http://www.ayugen.com/">www.ayugen.com</a> <br /><a href="http://www.geneombiotech.com/">www.geneombiotech.com</a> <br /><br /> Large Global Whole Genome Companies <br /><a href="http://www.decode.com/">www.decode.com</a> <br /><a href="http://www.23andme.com/">www.23andme.com</a> <br /><a href="http://www.navigenics.com/">www.navigenics.com</a><br />www.pathway.com<br /><br /> Global companies offering genomics services <br /><a href="http://www.asuragen.com/">www.asuragen.com</a> <br /><a href="http://www.baseclear.com/">www.baseclear.com</a> <br /><a href="http://www.agtcenter.com/">www.agtcenter.com</a> <br /><a href="http://www.ambrygen.com/">www.ambrygen.com</a> <br /><a href="http://www.arosab.com/">www.arosab.com</a> <br /><a href="http://www.agrf.org.au/">www.agrf.org.au</a> <br /><a href="http://www.beckmangenomics.com/">www.beckmangenomics.com</a> <br /><a href="http://www.genomics.cn/">www.genomics.cn</a> <br /><a href="http://www.bsf.a-star.edu.sg/">www.bsf.a-star.edu.sg</a> <br /><a href="http://www.cbm.fvg.it/">www.cbm.fvg.it</a> <br /><a href="http://www.cincinnatichildrens.org/">www.cincinnatichildrens.org</a> <br /><a href="http://www.cofactorgenomics.com/">www.cofactorgenomics.com</a> <br /><a href="http://www.covance.com/">www.covance.com</a> <br /><a href="http://www.dnalandmarks.ca/">www.dnalandmarks.ca</a> <br /><a href="http://www.dnavision.com/">www.dnavision.com</a> <br /><a href="http://www.expressionanalysis.com/">www.expressionanalysis.com</a> <br /><a href="http://www.fasteris.com/">www.fasteris.com</a> <br /><a href="http://www.gatc-biotech.com/">www.gatc-biotech.com</a> <br /><a href="http://www.genesdiffusion.com/">www.genesdiffusion.com</a> <br /><a href="http://www.geneseek.com/">www.geneseek.com</a> <br /><a href="http://www.geneticvisions.com/">www.geneticvisions.com</a> <br /><a href="http://www.geneworks.com.au/">www.geneworks.com.au</a> <br /><a href="http://www.genizon.com/">www.genizon.com</a> <br /><a href="http://www.genoskan.dk/uk">www.genoskan.dk/uk</a> <br /><a href="http://www.gpbio.jp/">www.gpbio.jp</a> <br /><a href="http://www.igatechnology.com/">www.igatechnology.com</a> <br /><a href="http://www.igenixinc.com/">www.igenixinc.com</a> <br /><a href="http://www.auxologico.it/">www.auxologico.it</a> <br /><a href="http://www.lifeandbrain.com/">www.lifeandbrain.com</a> <br /><a href="http://www.macrogen.co.kr/eng">www.macrogen.co.kr/eng</a> <br /><a href="http://www.gqinnovationcenter.com/">www.gqinnovationcenter.com</a> <br /><a href="http://www.mftservices.de/">www.mftservices.de</a> <br /><a href="http://www.ncgr.org/">www.ncgr.org</a> <br /><a href="http://www.ramaciotti.unsw.edu.au/">www.ramaciotti.unsw.edu.au</a> <br /><a href="http://www.rikengenesis.jp/">www.rikengenesis.jp</a> <br /><a href="http://www.sabiosciences.com/">www.SABiosciences.com</a> <br /><a href="http://www.sequensysbio.com/">www.sequensysbio.com</a> <br /><a href="http://www.servicexs.com/">www.servicexs.com</a> <br /><a href="http://www.snp-genetics.com/">www.snp-genetics.com</a> <br /><a href="http://www.takara-bio.com/">www.takara-bio.com</a> <br /><a href="http://www.gen-probe.com/">www.gen-probe.com</a> <br /><a href="http://www.traitgenetics.com/">www.traitgenetics.com</a></p></div></div>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/1886/interpretomics</guid>
	<pubDate>Sun, 11 Aug 2013 10:24:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/1886/interpretomics</link>
	<title><![CDATA[InterpretOmics]]></title>
	<description><![CDATA[<p>InterpretOmics, a big data analytics startup that focuses on life sciences, has received angel funding of around Rs 10 crore from a group of investors including Singapore's information technology and shipping company, Amarante.</p><p>http://www.interpretomics.co/</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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