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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/19560?offset=330</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/11644/mirna-database-and-tools</guid>
	<pubDate>Mon, 09 Jun 2014 07:58:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/11644/mirna-database-and-tools</link>
	<title><![CDATA[miRNA database and tools]]></title>
	<description><![CDATA[<p>Since few years miRNA has shown to play important role in therapeutic related research and also known to play vital role in controlling gene expression specifically at transcriptional and post-transcription levels. Here are some important DBs and tools related with miRNA:</p><p><strong>miRNA Sequencing data analysis</strong> :&nbsp;http://tools.genxpro.net/omiras/</p><p><strong>miRNApath( R based tool)&nbsp;</strong>: &nbsp;<a href="http://www.bioconductor.org/packages/release/bioc/html/miRNApath.html">http://www.bioconductor.org/packages/release/bioc/html/miRNApath.html</a></p><p><strong>miRWalk DB</strong> :&nbsp;http://www.umm.uni-heidelberg.de/apps/zmf/mirwalk/</p><p><strong>TargetScanHuman</strong> :&nbsp;http://www.targetscan.org/</p><p><strong>RNAhybrid</strong> :&nbsp;http://bibiserv.techfak.uni-bielefeld.de/rnahybrid/welcome.html</p><p><strong>RNA22 predictor</strong> :&nbsp;http://cbcsrv.watson.ibm.com/rna22.html</p><p><strong>miRNA predictor</strong> :&nbsp;http://www.microrna.org/microrna/home.do</p><p><strong>Plant miRNA DB</strong> :http://bioinformatics.cau.edu.cn/PMRD/</p><p><strong>miRBASE DB</strong>:&nbsp;http://www.mirbase.org/</p><p><strong>Plant RNA predictor</strong> : http://plantgrn.noble.org/psRNATarget/</p><p><strong>miRNA Interaction DB</strong> :&nbsp;http://starbase.sysu.edu.cn/</p><p><strong>Sequencing based miRNA DB</strong> :&nbsp;http://mirgator.kobic.re.kr/</p><p><strong>predicted A-to-I edited miRNA DB </strong>:&nbsp;http://microrna.osumc.edu/mireditar/</p><p><strong>Animal, plant and virus miRNA DB</strong> :&nbsp;http://lemur.amu.edu.pl/share/php/mirnest/</p><p><strong>Atlantic Salmon&nbsp;miRNAs DB </strong>:<strong>&nbsp;</strong>http://www.molgenv.com/ssa_mirnas_db_home.php</p><p><strong>miRNA prediction on UTRs</strong> :&nbsp;http://genie.weizmann.ac.il/pubs/mir07/mir07_prediction.html</p><p><span style="text-decoration: underline;"><strong>Idea of analysing miRNA Sequencing data</strong></span> :</p><p>http://www.illumina.com/applications/epigenetics/small_rna_analysis.ilmn</p><p><strong>More:</strong></p><p><a href="http://www.bioconductor.org/help/search/index.html?q=miRNA+target">http://www.bioconductor.org/help/search/index.html?q=miRNA+target</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/23167/graphmap-a-highly-sensitive-and-accurate-mapper-for-long-error-prone-reads</guid>
	<pubDate>Mon, 06 Jul 2015 08:46:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/23167/graphmap-a-highly-sensitive-and-accurate-mapper-for-long-error-prone-reads</link>
	<title><![CDATA[GraphMap - A highly sensitive and accurate mapper for long, error-prone reads]]></title>
	<description><![CDATA[<p>GraphMap is a novel mapper targeted at aligning long, error-prone third-generation sequencing data.<br>It is&nbsp;<strong>designed to handle Oxford Nanopore MinION 1d and 2d reads</strong>&nbsp;with very high sensitivity and accuracy, and also presents a significant improvement over the state-of-the-art for PacBio read mappers.</p>
<p>GraphMap was also designed for ease-of-use: the&nbsp;<strong>default parameters</strong>&nbsp;can handle a wide range of read lengths and error profiles, including:&nbsp;<em>Illumina</em>,&nbsp;<em>PacBio</em>&nbsp;and&nbsp;<em>Oxford Nanopore</em>.<br>This is an especially important feature for technologies where the error rates and error profiles can vary widely across, or even within, sequencing runs.</p>
<p><a href="http://biorxiv.org/content/early/2015/06/10/020719">http://biorxiv.org/content/early/2015/06/10/020719</a></p><p>Address of the bookmark: <a href="https://github.com/isovic/graphmap" rel="nofollow">https://github.com/isovic/graphmap</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27841/covcal-coverage-read-count-calculator</guid>
	<pubDate>Wed, 15 Jun 2016 18:08:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27841/covcal-coverage-read-count-calculator</link>
	<title><![CDATA[CovCal: Coverage / Read Count Calculator]]></title>
	<description><![CDATA[<h2>Coverage / Read Count Calculator</h2>
<h4>Calculate how much sequencing you need to hit a target depth of coverage (or vice versa).</h4>
<p><span>Instructions:</span> set the read length/configuration and genome size, then select what you want to calculate.</p>
<p>Written by <a href="http://stephenturner.us/" target="blank">Stephen Turner</a>, based on the <a href="http://www.ncbi.nlm.nih.gov/pubmed/3294162" target="_blank">Lander-Waterman formula</a>, inspired by <a href="http://core-genomics.blogspot.com/2016/05/how-many-reads-to-sequence-genome.html" target="_blank">a similar calculator</a> written by James Hadfield. Coverage is calculated as <em>C=LN/G</em> and reads as <em>N=CG/L</em> where <em>C</em> = Coverage (X),<em>L</em> = Read length (bp), <em>G</em> = Haploid genome size (bp), and <em>N</em> = Number of reads. Source code <a href="https://github.com/stephenturner/covcalc" target="_blank">on GitHub</a>.</p><p>Address of the bookmark: <a href="http://apps.bioconnector.virginia.edu/covcalc/" rel="nofollow">http://apps.bioconnector.virginia.edu/covcalc/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33011/grinder-biogrinder-a-versatile-omics-shotgun-and-amplicon-sequencing-read-simulator</guid>
	<pubDate>Wed, 24 May 2017 08:41:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33011/grinder-biogrinder-a-versatile-omics-shotgun-and-amplicon-sequencing-read-simulator</link>
	<title><![CDATA[Grinder / Biogrinder - A versatile omics shotgun and amplicon sequencing read simulator]]></title>
	<description><![CDATA[<p><span>Grinder is a versatile program to create random shotgun and amplicon sequence libraries based on DNA, RNA or proteic reference sequences provided in a FASTA file. </span></p>
<p><span>Grinder can produce genomic, metagenomic, transcriptomic, metatranscriptomic, proteomic, metaproteomic shotgun and amplicon datasets from current sequencing technologies such as Sanger, 454, Illumina. These simulated datasets can be used to test the accuracy of bioinformatic tools under specific hypothesis, e.g. with or without sequencing errors, or with low or high community diversity. Grinder may also be used to help decide between alternative sequencing methods for a sequence-based project, e.g. should the library be paired-end or not, how many reads should be sequenced.</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/biogrinder/files/biogrinder/" rel="nofollow">https://sourceforge.net/projects/biogrinder/files/biogrinder/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39875/lrsday-long-read-sequencing-data-analysis-for-yeasts</guid>
	<pubDate>Mon, 26 Aug 2019 18:07:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39875/lrsday-long-read-sequencing-data-analysis-for-yeasts</link>
	<title><![CDATA[LRSDAY: Long-read Sequencing Data Analysis for Yeasts]]></title>
	<description><![CDATA[<p><span>Long-read sequencing technologies have become increasingly popular in genome projects due to their strengths in resolving complex genomic regions. As a leading model organism with small genome size and great biotechnological importance, the budding yeast,&nbsp;</span><em>Saccharomyces cerevisiae</em><span>, has many isolates currently being sequenced with long reads.&nbsp;</span></p><p>Address of the bookmark: <a href="https://github.com/yjx1217/LRSDAY" rel="nofollow">https://github.com/yjx1217/LRSDAY</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43892/choosing-the-right-ngs-sequencing-instrument-for-your-study</guid>
	<pubDate>Wed, 15 Jun 2022 00:37:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43892/choosing-the-right-ngs-sequencing-instrument-for-your-study</link>
	<title><![CDATA[Choosing the Right NGS Sequencing Instrument for Your Study]]></title>
	<description><![CDATA[<p>The right sequencing instrument for your study depends on your project goal. Setting aside turnaround time and price, it essentially comes down to the numbers of reads and read length you need for your experiment. Below, we've described and compared metrics for each of the instruments available. If you&rsquo;re new to high-throughput sequencing and have questions about how you should design your sequencing run, fill out our&nbsp;<a href="https://genohub.com/ngs-consultation/"><span>free consultation form</span></a>&nbsp;and we'll get in touch with you to help.</p>
<p>More at&nbsp;https://genohub.com/ngs-instrument-guide/</p><p>Address of the bookmark: <a href="https://genohub.com/ngs-instrument-guide/" rel="nofollow">https://genohub.com/ngs-instrument-guide/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/view/1906</guid>
	<pubDate>Sun, 11 Aug 2013 11:13:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/view/1906</link>
	<title><![CDATA[Compressive Genomics]]></title>
	<description><![CDATA[<p>The key to finding a solution is to notice that most&nbsp;<a href="http://www.i-programmer.info/news/181-algorithms/4537-a-new-dna-sequence-search-compressive-genomics.html">genomic</a>sequences differ by very little. It may well be that the number of complete genome sequences being stored is increasing rapidly, but the actual amount of new data is very small. In other words, a single DNA sequence isn't particularly compressible but a set of sequences shares so much in common that the redundancy can be used to store them in a much smaller storage space. (Source:e-article from&nbsp;Alex Armstrong)</p><p><a href="http://www.i-programmer.info/news/181-algorithms/4537-a-new-dna-sequence-search-compressive-genomics.html">http://www.i-programmer.info/news/181-algorithms/4537-a-new-dna-sequence-search-compressive-genomics.html</a></p><p><a href="http://en.wikipedia.org/wiki/Compression_of_Genomic_Re-Sequencing_Data">http://en.wikipedia.org/wiki/Compression_of_Genomic_Re-Sequencing_Data</a></p><p><a href="http://www.nature.com/nbt/journal/v30/n7/full/nbt.2241.html">http://www.nature.com/nbt/journal/v30/n7/full/nbt.2241.html</a></p><p><a href="http://bioinformatics.oxfordjournals.org/content/29/13/i283.full">http://bioinformatics.oxfordjournals.org/content/29/13/i283.full</a></p><p><a href="http://groups.csail.mit.edu/cb/cast/">http://groups.csail.mit.edu/cb/cast/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/3885/precision-medicine</guid>
	<pubDate>Sat, 24 Aug 2013 15:47:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/3885/precision-medicine</link>
	<title><![CDATA[Precision Medicine]]></title>
	<description><![CDATA[<p>Coupling established clinical&ndash;pathological indexes with state-of-the-art molecular profiling to create diagnostic, prognostic, and therapeutic strategies precisely tailored to each patient's requirements &mdash; hence the term &ldquo;Precision medicine&rdquo;&nbsp;</p>
<p>Source:<a href="http://www.nejm.org/doi/full/10.1056/NEJMp1114866">http://www.nejm.org/doi/full/10.1056/NEJMp1114866</a></p>
<p><strong>Another video on precision medicine</strong>:</p>
<p><a href="http://www.youtube.com/watch?v=Pi8W0yOXnzE">http://www.youtube.com/watch?v=Pi8W0yOXnzE</a></p>
<p>Precision Medicine basically intergrates bioinformatics, genomics , genetics, molecular biology and nanotechnology to deliver precise cure/diagnotics to a specific patient.</p>
<p>Examples:</p>
<ul>
<li><span>The drug imatinib (Gleevec) designed to inhibit an altered enzyme produced by a fused version of two genes found in chronic myelogenous leukemia.</span></li>
<li><span>The breast cancer drug trastuzumab (Herceptin) works only for women whose tumors have a particular genetic profile called HER-2 positive.</span></li>
</ul>
<p><span>E.g. source :</span></p>
<p><span><a href="http://www.bionews-tx.com/news/2013/08/15/how-the-impact-of-cancer-genomics-on-precision-medicine-is-revolutionizing-cancer-treatment/">http://www.bionews-tx.com/news/2013/08/15/how-the-impact-of-cancer-genomics-on-precision-medicine-is-revolutionizing-cancer-treatment/</a></span></p><p>Address of the bookmark: <a href="http://www.cbsnews.com/video/watch/?id=50149783n" rel="nofollow">http://www.cbsnews.com/video/watch/?id=50149783n</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/3029/bioinformatics-market-in-india</guid>
	<pubDate>Fri, 23 Aug 2013 07:08:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/3029/bioinformatics-market-in-india</link>
	<title><![CDATA[Bioinformatics market in India]]></title>
	<description><![CDATA[<div><strong>Key Topics Covered in the Report:</strong></div>
<ul>
<li>The market size of the Indian Bioinformatics Industry , FY&rsquo;2007-FY&rsquo;2013</li>
<li>Market segmentation of India bioinformatics industry by application by sectors, FY&rsquo;2007-FY&rsquo;2013</li>
<li>Market Segmentation of India bioinformatics industry by products and services,FY&rsquo;2007-FY&rsquo;2013</li>
<li>Market Segmentation of India bioinformatics industry by applications of bioinformatics ,FY&rsquo;2007-FY&rsquo;2013</li>
<li>India bioinformatics industry trends and developments</li>
<li>Government regulations and initiatives of India bioinformatics industry</li>
<li>Major bioinformatics research institutes in India</li>
<li>Market Share of leading players in bioinformatics industry in India,FY&rsquo;2013</li>
<li>Company profiles of major players in India bioinformatics industry</li>
<li>Future outlook and projections on the basis of revenue in India bioinformatics market, FY&rsquo;2014-FY&rsquo;2018</li>
</ul>
<p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;(Source: Ken Research)</p><p>Address of the bookmark: <a href="http://www.kenresearch.com/healthcare/biotechnology/india-bioinformatics-industry-research-report/392-91.html" rel="nofollow">http://www.kenresearch.com/healthcare/biotechnology/india-bioinformatics-industry-research-report/392-91.html</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4591/the-breitbart-lab</guid>
  <pubDate>Tue, 17 Sep 2013 18:19:49 -0500</pubDate>
  <link></link>
  <title><![CDATA[The Breitbart lab]]></title>
  <description><![CDATA[
<p>Breitbart’s lab has created a new branch of biology called metagenomics in which one can sample and sequence genetic material collected from the environment.</p>

<p>Breitbart lab is located in the College of Marine Science at the University of South Florida. She is chosen as top "10 Brilliant" scientist by Popular Science magazine.<br />http://www.popsci.com/science/article/2013-09/mya-breitbart</p>

<p>Lab Link:<br />https://sites.google.com/site/breitbartgenomicslab/<br />http://www.marine.usf.edu/faculty/mya-breitbart.shtml</p>
]]></description>
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