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	<title><![CDATA[BOL: Rahul Agarwal's bookmarks]]></title>
	<link>https://bioinformaticsonline.com/bookmarks/owner/raag?</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40959/bioinformatics-related-group</guid>
	<pubDate>Sun, 09 Feb 2020 03:17:16 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40959/bioinformatics-related-group</link>
	<title><![CDATA[Bioinformatics related group]]></title>
	<description><![CDATA[<p>FaBI emerged from the respective groups of the four founding societies GI (German Informatics Society), DECHEMA (Society for Chemical Engineering and Biotechnology), GBM (Society for Biochemistry and Molecular Biology) and GDCh (German Chemical Society). In fall 2015, the GMDS (German Society for Medical Informatics, Biometry, and Epidemiology) joined FaBI. FaBI represents more than 750 members today and considers itself as a joint representation of interests of bioinformatics research in Germany and as an interlocutor for politics, economy, and society aiming at a strong informatics-based life science research.</p><p>Address of the bookmark: <a href="https://bioinformatik.de/en/bioinformatics-in-germany/research/research-groups.html" rel="nofollow">https://bioinformatik.de/en/bioinformatics-in-germany/research/research-groups.html</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34750/japanese-multi-omics-reference-panel-jmorp</guid>
	<pubDate>Fri, 22 Dec 2017 20:18:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34750/japanese-multi-omics-reference-panel-jmorp</link>
	<title><![CDATA[Japanese Multi Omics Reference Panel, jMorp]]></title>
	<description><![CDATA[<p><span>Japanese Multi Omics Reference Panel, jMorp, is a database of metabolome and proteome data in plasma obtained from volunteers in ToMMo. Metabolome data were measured by proton NMR and LC-MS, and proteome data were obtained by nanoLC-MS. We could measure several thousands of metabolites including the uncharacterized ones, and several hundreds of proteins until now.</span></p>
<p><span>https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkx978/4563306</span></p><p>Address of the bookmark: <a href="https://jmorp.megabank.tohoku.ac.jp/2017/compounds" rel="nofollow">https://jmorp.megabank.tohoku.ac.jp/2017/compounds</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34746/trrust-v2-an-expanded-reference-database-of-human-and-mouse-transcriptional-regulatory-interactions</guid>
	<pubDate>Thu, 21 Dec 2017 17:01:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34746/trrust-v2-an-expanded-reference-database-of-human-and-mouse-transcriptional-regulatory-interactions</link>
	<title><![CDATA[TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions]]></title>
	<description><![CDATA[<p>TRRUST contains 8,444 and 6,552 TF-target regulatory relationships of 800 human TFs and 828 mouse TFs, respectively. They have been derived from 11,237 pubmed articles, which describe small-scale experimental studies of transcriptional regulations. To efficiently search for regulatory relationships from over 20 million pubmed articles, we used sentence-based text mining approach.</p>
<p>TRRUST database also provides information of mode of regulation (activation or repression). Currently 8,972 (59.8%) regulatory relationships are known for mode of regulation.</p>
<p>Search at :&nbsp;http://www.grnpedia.org/trrust/Network_search_form.php</p><p>Address of the bookmark: <a href="http://www.grnpedia.org/trrust/" rel="nofollow">http://www.grnpedia.org/trrust/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/23498/algorithms-for-dna-sequencing-course-offered-each-month</guid>
	<pubDate>Sun, 26 Jul 2015 01:57:02 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/23498/algorithms-for-dna-sequencing-course-offered-each-month</link>
	<title><![CDATA[Algorithms for DNA Sequencing (course offered each month)]]></title>
	<description><![CDATA[<p>"<span>We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets."</span></p>
<p><span>Source :&nbsp;https://www.coursera.org/course/ads1</span></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://www.coursera.org/course/ads1" rel="nofollow">https://www.coursera.org/course/ads1</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/23251/directional-dominance-on-stature-and-cognition-in-diverse-human-populations</guid>
	<pubDate>Sat, 11 Jul 2015 12:43:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/23251/directional-dominance-on-stature-and-cognition-in-diverse-human-populations</link>
	<title><![CDATA[Directional dominance on stature and cognition in diverse human populations]]></title>
	<description><![CDATA[<p><span>Analysis of the genomes of &gt;</span>350,000 individuals revealed<span>&nbsp;the existence of a small though measureable association between genome-wide homozygosity and some vital complex traits...</span></p>
<p><span>Directional dominance is predicted for traits under directional evolutionary selection, this study provides evidence that increased stature and cognitive function have been positively selected in human evolution, whereas many important risk factors for late-onset complex diseases may not have been.</span></p>
<p><span>http://www.nature.com/nature/journal/vaop/ncurrent/full/nature14618.html</span></p><p>Address of the bookmark: <a href="http://www.nature.com/nature/journal/vaop/ncurrent/full/nature14618.html" rel="nofollow">http://www.nature.com/nature/journal/vaop/ncurrent/full/nature14618.html</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/18021/junk-part-of-the-human-genome-unlocked</guid>
	<pubDate>Thu, 09 Oct 2014 12:22:20 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/18021/junk-part-of-the-human-genome-unlocked</link>
	<title><![CDATA[Junk part of the human genome unlocked]]></title>
	<description><![CDATA[<p><strong>More</strong>:</p>
<p><strong>Texas A&amp;M Biologists Unlock Non-Coding Half of Human Genome with Novel DNA Sequencing Technique</strong></p>
<p><a href="http://www.science.tamu.edu/news/story.php?story_ID=1282#.VDbBQ_mSyyA">http://www.science.tamu.edu/news/story.php?story_ID=1282#.VDbBQ_mSyyA</a></p>
<p>"<em>this study stated that differences in the heterochromatin exist ; the junk DNA is not stagnant as researchers originally had believed </em>"</p>
<p><strong>Simple Quantitative PCR Approach to Reveal Naturally Occurring and Mutation-Induced Repetitive Sequence Variation on the Drosophila Y Chromosome</strong></p>
<p>Link :<a href="http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0109906">http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0109906</a></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://www.sciencedaily.com/releases/2014/10/141007091753.htm" rel="nofollow">http://www.sciencedaily.com/releases/2014/10/141007091753.htm</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/17946/7th-international-conference-on-bioinformatics-and-computational-biology-bicob</guid>
	<pubDate>Mon, 06 Oct 2014 16:19:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/17946/7th-international-conference-on-bioinformatics-and-computational-biology-bicob</link>
	<title><![CDATA[7th International Conference on Bioinformatics and Computational Biology (BICoB)]]></title>
	<description><![CDATA[<p><span>In recent years, computational biology and medical informatics have seen significant advances driven by computational techniques in bioinformatics making bioinformatics and computational biology among the most vibrant research areas. The 7th international conference on Bioinformatics and Computational Biology (BICoB-2015) provides an excellent venue for researchers and practitioners in the fields of bioinformatics and computational biology to present and publish their research results and techniques. The BICoB conference seeks original and high quality papers in the fields of bioinformatics, computational biology, systems biology, medical informatics and the related disciplines. </span><span>We also encourage work in progress and research results in the emerging and evolutionary computational areas. Computational techniques have already enabled unprecedented advances in modern biology and medicine. Work in the computational methods related to, or with application in, bioinformatics is also encouraged including: data mining, text mining, machine learning, modeling and simulation, pattern recognition, data visualization, biostatistics, .etc. The topics of interest include (and are not limited to):&nbsp;</span><br><strong><span>Genome analysis:</span></strong><span>&nbsp;Genome assembly, genome annotation, gene finding, alternative splicing, EST analysis and comparative genomics.&nbsp;</span><br><strong><span>Sequence analysis:</span></strong><span>&nbsp;Multiple sequence alignment, sequence search and clustering, function prediction, motif discovery, functional site recognition in protein, RNA and DNA sequences.&nbsp;</span><br><strong><span>Phylogenetics:</span></strong><span>&nbsp;Phylogeny estimation, models of evolution, comparative biological methods, population genetics.&nbsp;</span><br><strong><span>Structural Bioinformatics:</span></strong><span>&nbsp;Structure matching, prediction, analysis and comparison; methods and tools for docking; protein design&nbsp;</span><br><strong><span>Analysis of high-throughput biological data:</span></strong><span>&nbsp;Microarrays (nucleic acid, protein, array CGH, genome tiling, and other arrays), EST, SAGE, MPSS, proteomics, mass spectrometry.&nbsp;</span><br><strong><span>Genetics and population analysis:</span></strong><span>&nbsp;Linkage analysis, association analysis, population simulation, haplotyping, marker discovery, genotype calling.&nbsp;</span><br><strong><span>Systems biology:</span></strong><span>&nbsp;Systems approaches to molecular biology, multiscale modeling, pathways,gene networks.&nbsp;</span><br><strong><span>Computational Proteomics:&nbsp;</span></strong><span>Filtering and indexing sequence databases, Peptide quantification and identification, Genome annotations via mass spectrometry, Identification of post-translational modifications, Structural genomics via mass spectrometry, Protein-protein interactions, Computational approaches to analysis of large scale Mass spectrometry data, Exploration and visualization of proteomic data, Data models and integration for proteomics and genomics, Querying and retrieval of proteomics and genomics data etc.</span></p>
<p><span><span>Authors of selected high quality papers in BICoB-2015 will be invited to submit extended version of their papers for possible publication in bioinformatics journals (</span><a href="http://www.worldscinet.com/jbcb/" target="_blank"><strong>Journal of Bioinformatics and Computational Biology JBCB).</strong></a></span></p>
<p><span><strong>Deadlines</strong>:</span></p>
<p><span></span></p>
<p>Paper Submission Deadline October 24, 2014<br>Notification of Acceptance December 15, 2014<br>Camera-Ready Manuscript January 16, 2015</p>
<p><span></span></p><p>Address of the bookmark: <a href="http://www.cs.umb.edu/bicob/" rel="nofollow">http://www.cs.umb.edu/bicob/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/17885/international-conference-on-bioinformatics-models-methods-and-algorithms</guid>
	<pubDate>Sun, 05 Oct 2014 11:42:52 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/17885/international-conference-on-bioinformatics-models-methods-and-algorithms</link>
	<title><![CDATA[International Conference on Bioinformatics Models, Methods and Algorithms]]></title>
	<description><![CDATA[<p><span>The purpose of the International Conference on Bioinformatics Models, Methods and Algorithms is to bring together researchers and practitioners interested in the application of computational systems and information technologies to the field of molecular biology, including for example the use of statistics and algorithms to understanding biological processes and systems, with a focus on new developments in genome bioinformatics and computational biology. Areas of interest for this community include sequence analysis, biostatistics, image analysis, scientific data management and data mining, machine learning, pattern recognition, computational evolutionary biology, computational genomics and other related fields.</span></p>
<p><span><span>Position Paper Submission Extension:</span><span>&nbsp;</span><span>October 9, 2014</span><span>&nbsp;</span><br><span>Regular Paper Authors Notification:</span><span>&nbsp;</span><span>November 3, 2014</span><span>&nbsp;</span><br><span>Position Paper Authors Notification:</span><span>&nbsp;</span><span>November 6, 2014</span><span>&nbsp;</span><br><span>Regular and Position Paper Camera Ready and Registration:</span><span>&nbsp;</span><span>November 17, 2014</span><span>&nbsp;</span></span></p><p>Address of the bookmark: <a href="http://www.bioinformatics.biostec.org/" rel="nofollow">http://www.bioinformatics.biostec.org/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/11368/metagenomics-role-in-antibiotic-resistance</guid>
	<pubDate>Mon, 02 Jun 2014 08:04:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/11368/metagenomics-role-in-antibiotic-resistance</link>
	<title><![CDATA[Metagenomics role in antibiotic resistance]]></title>
	<description><![CDATA[<p>Related latest article:</p>
<p><a href="http://www.nature.com/nature/journal/v509/n7502/pdf/nature13377.pdf">http://www.nature.com/nature/journal/v509/n7502/pdf/nature13377.pdf</a></p><p>Address of the bookmark: <a href="https://www.landesbioscience.com/journals/virulence/2013VIRULENCE0033R2.pdf" rel="nofollow">https://www.landesbioscience.com/journals/virulence/2013VIRULENCE0033R2.pdf</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/11109/expression-profiling-of-the-wheat-pathogen-zymoseptoria-tritici</guid>
	<pubDate>Tue, 27 May 2014 17:09:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/11109/expression-profiling-of-the-wheat-pathogen-zymoseptoria-tritici</link>
	<title><![CDATA[Expression profiling of the wheat pathogen Zymoseptoria tritici]]></title>
	<description><![CDATA[<p>Address of the bookmark: <a href="http://gbe.oxfordjournals.org/content/early/2014/05/14/gbe.evu101.abstract" rel="nofollow">http://gbe.oxfordjournals.org/content/early/2014/05/14/gbe.evu101.abstract</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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