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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/37581?offset=660</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42490/bioinformatics-scientist-%E2%80%93-icmr-computational-genomics-centre</guid>
  <pubDate>Sat, 26 Dec 2020 10:18:29 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Scientist – ICMR Computational Genomics Centre]]></title>
  <description><![CDATA[
<p>ICMR invites online applications, from Indian Citizens, up to 8th January 2020 till 5:30 PM to fill up the following post to be filled purely on a temporary basis under “ICMR Computational Genomics Centre” under Dr. Harpreet Singh, Head, Division of Biomedical Informatics (BMI), ICMR HQRS, New Delhi 110029.<br />The Terms &amp; Conditions for the post are as follows:</p>

<p>a) Scientist-B – UR (2 posts-Bioinformatics) on consolidated salary of Rs.48,000/- pm + HRA</p>

<p>b) Scientist C – UR (1 post -Bioinformatics) on consolidated salary of Rs. 51,000 pm+ HRA</p>

<p>c) Scientist B- UR (2 post-Statistics) on a consolidated salary of Rs.48,000/- pm +HRA</p>

<p>d) Computer Programmer 1 post UR &amp; 1 post SC on a consolidated salary of Rs. 32,500/- pm</p>

<p>e) Research Assistant -UR 1 post on a consolidated salary of Rs. 31,000/- pm</p>

<p>More at https://projectjobs.icmr.org.in/sccbioinformatics/uploads/recruitment/Adv_BMI_24122020.pdf</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43362/machine-learning-for-genomics</guid>
	<pubDate>Thu, 09 Sep 2021 11:26:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43362/machine-learning-for-genomics</link>
	<title><![CDATA[Machine Learning for Genomics]]></title>
	<description><![CDATA[<h3>Module 1: Statistics for genomics (2-8 August 2021)</h3>
<ul>
<li>A simple intro to statistical distributions</li>
<li>hypothesis testing</li>
<li>linear models.</li>
</ul>
<p>reading:&nbsp;<a href="http://compgenomr.github.io/book/stats.html">http://compgenomr.github.io/book/stats.html</a></p>
<p>slides:&nbsp;<a href="https://github.com/BIMSBbioinfo/compgen2021/tree/main/week1/compgen2021_stats.pdf">https://github.com/BIMSBbioinfo/compgen2021/tree/main/week1/compgen2021_stats.pdf</a></p>
<p>exercises+code:&nbsp;<a href="https://github.com/BIMSBbioinfo/compgen2021/tree/main/week1/">https://github.com/BIMSBbioinfo/compgen2021/tree/main/week1/</a></p>
<h3><a href="https://github.com/BIMSBbioinfo/compgen2021#module-2-unsupervised-learning-for-genomics-9-15-august-2021"></a>Module 2: Unsupervised learning for genomics (9-15 August 2021)</h3>
<ul>
<li>Understanding basic intuition behind machine learning approaches.</li>
<li>Using unsupervised learning to cluster and visualise data points</li>
<li>Dimension reduction techniques for visualisation and as input to clustering methods</li>
</ul>
<p>reading:&nbsp;<a href="http://compgenomr.github.io/book/unsupervisedLearning.html">http://compgenomr.github.io/book/unsupervisedLearning.html</a></p>
<p>slides:&nbsp;<a href="https://github.com/BIMSBbioinfo/compgen2021/tree/main/week2/compgen2021_unsupervisedLearning.pdf">https://github.com/BIMSBbioinfo/compgen2021/tree/main/week2/compgen2021_unsupervisedLearning.pdf</a></p>
<p>exercises+code:&nbsp;<a href="https://github.com/BIMSBbioinfo/compgen2021/tree/main/week2/">https://github.com/BIMSBbioinfo/compgen2021/tree/main/week2/</a></p>
<h3><a href="https://github.com/BIMSBbioinfo/compgen2021#module-3-supervised-learning-for-genomics-16-22-august-2021"></a>Module 3: Supervised learning for genomics (16-22 August 2021)</h3>
<ul>
<li>Understanding and using supervised learning methods for predictive purposes</li>
<li>How to measure prediction performance</li>
<li>Understand and use cross-validation and related concepts</li>
</ul>
<p>reading:&nbsp;<a href="http://compgenomr.github.io/book/supervisedLearning.html">http://compgenomr.github.io/book/supervisedLearning.html</a></p>
<p>slides:&nbsp;<a href="https://github.com/BIMSBbioinfo/compgen2021/tree/main/week3/compgen2021_supervisedLearning.pdf">https://github.com/BIMSBbioinfo/compgen2021/tree/main/week3/compgen2021_supervisedLearning.pdf</a></p>
<p>exercises+code:&nbsp;<a href="https://github.com/BIMSBbioinfo/compgen2021/tree/main/week3/">https://github.com/BIMSBbioinfo/compgen2021/tree/main/week3/</a></p>
<p>https://github.com/BIMSBbioinfo/compgen2021</p><p>Address of the bookmark: <a href="https://github.com/BIMSBbioinfo/compgen2021" rel="nofollow">https://github.com/BIMSBbioinfo/compgen2021</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/44650/manthey-research-group-%E2%80%93-evolutionary-genomics</guid>
  <pubDate>Thu, 22 Aug 2024 06:25:55 -0500</pubDate>
  <link></link>
  <title><![CDATA[Manthey Research Group – Evolutionary Genomics]]></title>
  <description><![CDATA[
<p>We focus on fundamental questions in genomics, ecology, and evolution. Our methods include fieldwork and labwork, but most of our time is spent analyzing genomics data using computational biology approaches.</p>

<p>Ant / bacteria co-evolution, landscape genomics, and population genomics<br />Vertebrate and/or invertebrate genome evolution</p>

<p>If you might be interested in joining our research group, send an email with your intent and why this group would potentially be a good fit for your future goals along with a CV / Resume to jdmanthey (at) gmail (dot) com</p>

<p>More at https://mantheylab.org/</p>
]]></description>
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<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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/3031/following-the-scientific-literature-a-personal-practical-guide-for-young-computational-biologists</guid>
	<pubDate>Fri, 23 Aug 2013 07:18:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/3031/following-the-scientific-literature-a-personal-practical-guide-for-young-computational-biologists</link>
	<title><![CDATA[Following the scientific literature: A personal practical guide for young computational biologists]]></title>
	<description><![CDATA[<p><span>The goal of this guide is to describe&nbsp;</span><strong>why</strong><span>,&nbsp;</span><strong>when</strong><span>,&nbsp;</span><strong>where</strong><span>&nbsp;and&nbsp;</span><strong>how</strong><span>&nbsp;can you follow the most up-to-date science of interest and&nbsp;</span><strong>what</strong><span>&nbsp;papers/journals you should follow. The guide is biased towards the fields of genomics/systems biology.(from article)</span></p>
<p><span>Source:&nbsp;<strong><span>&nbsp;<a href="http://www.cs.tau.ac.il/~ulitskyi/">Igor Ulitsky</a>&nbsp;&amp;&nbsp;<a href="http://www.cs.tau.ac.il/~rshamir/">Ron Shamir</a></span></strong></span></p><p>Address of the bookmark: <a href="http://acgt.cs.tau.ac.il/guides/LiteratureGuide.htm" rel="nofollow">http://acgt.cs.tau.ac.il/guides/LiteratureGuide.htm</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/5402/key-bioinformatics-scientists</guid>
	<pubDate>Wed, 09 Oct 2013 13:37:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/5402/key-bioinformatics-scientists</link>
	<title><![CDATA[Key Bioinformatics Scientists]]></title>
	<description><![CDATA[<p>Address of the bookmark: <a href="http://www.iscb.org/iscb-leadership-a-staff-/officers-and-board-directors" rel="nofollow">http://www.iscb.org/iscb-leadership-a-staff-/officers-and-board-directors</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/9586/list-of-bioinformatics-companies-and-genomics-service-providers</guid>
	<pubDate>Wed, 02 Apr 2014 06:52:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/9586/list-of-bioinformatics-companies-and-genomics-service-providers</link>
	<title><![CDATA[List of bioinformatics companies and genomics service providers]]></title>
	<description><![CDATA[<p>Plz check out link for bioinformatics and genomics companies.&nbsp;</p><p>Address of the bookmark: <a href="http://grouthbio.com/Genome_Software_Service.php" rel="nofollow">http://grouthbio.com/Genome_Software_Service.php</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/17966/internship-program-for-bioinformatics-biotechnology-professionals-no-of-vacancy-2</guid>
  <pubDate>Wed, 08 Oct 2014 01:10:08 -0500</pubDate>
  <link></link>
  <title><![CDATA[Internship Program for Bioinformatics / Biotechnology Professionals (No. Of Vacancy: 2)]]></title>
  <description><![CDATA[
<p>ArrayGen is offering an Internship Program for Post graduate Bioinformatics / Biotechnology students and professionals. ArrayGen Technologies provide an excellent opportunity to gain research experience and explore if a scientific career is right for you. Currently we offer positions to outstanding students interested in Next Generation Sequencing (NGS) data analysis. Applications are accepted throughout the year. Accepted students will be listed on web with their schedules. Accepted students can attend our future workshops and trainings freely at the specified venue.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/34912/list-of-cancer-genomics-research-web-resources</guid>
	<pubDate>Wed, 27 Dec 2017 20:33:09 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/34912/list-of-cancer-genomics-research-web-resources</link>
	<title><![CDATA[List of cancer genomics research web resources !]]></title>
	<description><![CDATA[<p>Major web resources for cancer genomics research</p><p>CGHub <br />https://cghub.ucsc.edu/ <br />Comprehensive data repository; huge data size</p><p>EGA <br />https://www.ebi.ac.uk/ega/ <br />Comprehensive data repository; huge data size</p><p>COSMIC <br />http://cancer.sanger.ac.uk <br />Largest somatic mutation database; genome sequencing paper curation</p><p>CPRG <br />http://www.broadinstitute.org/software/cprg <br />Interface for cancer program resources</p><p>GDAC <br />http://gdac.broadinstitute.org/ <br />Data analysis; automatic pipelines; user-friendly reports</p><p>SNP500Cancer <br />http://snp500cancer.nci.nih.gov <br />Sequence and genotype verification of SNPs</p><p>canEvolve <br />www.canevolve.org/ <br />Comprehensive analysis of tumor profile; Data from 90 studies involving more than 10,000 patients</p><p>MethyCancer <br />http://methycancer.psych.ac.cn <br />Relationship among DNA methylation, gene expression and cancer</p><p>SomamiR <br />http://compbio.uthsc.edu/SomamiR/ <br />Correlation between somatic mutation and microRNA; genome-wide displaying</p><p>cBioPortal <br />http://www.cbioportal.org/public-portal/ <br />Graphical summaries; gene alteration; processed data; visualization</p><p>UCSC Cancer Genomics Browser <br />https://genome-cancer.soe.ucsc.edu/ <br />Clinical information; gene expression; copy number variation; visualization</p><p>CGWB <br />https://cgwb.nci.nih.gov/ <br />Visualization; gene mutation and variation; automated analysis pipeline</p><p>GDSC <br />http://www.cancerrxgene.org <br />Drug sensitivity information; drug response information</p><p>canSAR <br />https://cansar.icr.ac.uk/ <br />Multidisciplinary information; drug discovery</p><p>NONCODE <br />http://www.noncode.org/ ncRNAs; <br />lncRNAs; up-to-date and comprehensive resource</p>]]></description>
	<dc:creator>biogeek</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/38649/ngs-platforms-launched-by-bgi%E2%80%99s-mgi-tech</guid>
	<pubDate>Thu, 10 Jan 2019 04:42:06 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/38649/ngs-platforms-launched-by-bgi%E2%80%99s-mgi-tech</link>
	<title><![CDATA[NGS Platforms launched by BGI’s MGI Tech]]></title>
	<description><![CDATA[<p>MGI Tech Co., Ltd. (MGI), a subsidiary of BGI Group, is committed to enabling effective and affordable healthcare solutions for all. Based on its proprietary technology, MGI produces sequencing devices, equipment, consumables and reagents to support life science research, medicine and healthcare. MGI's multi-omics platforms include genetic sequencing, mass spectrometry and medical imaging. Providing real-time, comprehensive, life-long solutions, its mission&nbsp;is to&nbsp;develop and promote advanced life science tools for future healthcare.</p><p>MGI, a subsidiary of global genomics leader BGI Group, announced pricing and its first early access customer for the new ultra high-throughput sequencer, MGISEQ-T7, saying it has driven down sequencing cost to&nbsp;$5&nbsp;per gigabyte, with exceptionally high accuracy. Such innovations are helping more people to realize the benefits of genomic information.</p><p>In October, MGI launched the MGISEQ-T7, a highly flexible production-scale platform that is the most powerful sequencer to date. It can produce as many as 60 whole human genomes in one day. The instrument sells for&nbsp;$1 million.</p><p>The T7 enables simultaneous but independent operation of up to four flow cells, which means different applications such as single-cell RNA sequencing, whole exome sequencing and whole genome sequencing can be run in different flow cells at the same time. This helps to reduce costs, allowing MGI to offer the most competitive sequencing price in the market.</p><p><span>Powered by DNBseq&trade;, MGISEQ delivers quality data with accuracy for SNP and Indel calling rate of 99.9% and 99%, respectively, along with decreased duplication rate down to less than 2 percent, and almost zero Index mis-assignment rate.</span></p><p><span><span>SOURCE MGI</span></span></p><p>https://www.bgi.com/global/company/news/bgis-mgi-tech-launches-two-new-ngs-platforms/</p><p>http://en.mgitech.cn/</p>]]></description>
	<dc:creator>Jit</dc:creator>
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