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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/9586?offset=1210</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/2335/embo-practical-course-bioinformatics-large-scale-data-at-shenzhen-china</guid>
  <pubDate>Wed, 14 Aug 2013 09:50:56 -0500</pubDate>
  <link></link>
  <title><![CDATA[EMBO Practical Course, Bioinformatics, large-scale data, at Shenzhen, China]]></title>
  <description><![CDATA[
<p>This international advanced course will provide training on bioinformatics and statistics methods for genomic research. It will give insight into how biological knowledge can be generated from high-throughput sequencing (DNA-Seq, RNA-seq, ChIP-seq) experiments and will illustrate how to analyze such data. The course covers both the underlying statistical and algorithmic concepts, and the practice of how to automate and code such analyses using the scripting language R.</p>

<p>17 Nov 2013 -22 Nov 2013</p>

<p>More at http://events.embo.org/13-large-scale-data/</p>

<p>Online Registration: https://www.conference-service.com/pc13-47/welcome.cgi</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/12943/a-history-of-bioinformatics-in-the-year-2039</guid>
	<pubDate>Wed, 23 Jul 2014 06:37:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/12943/a-history-of-bioinformatics-in-the-year-2039</link>
	<title><![CDATA[A History of Bioinformatics (in the Year 2039)]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/uwsjwMO-TEA" frameborder="0" allowfullscreen></iframe><p>C. Titus Brown http://video.open-bio.org/video/1/a-history-of-bioinformatics-in-the-year-2039</p>]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/3963/spotlight-on-genomics-understanding-our-genes-a-step-to-personalized-medicine</guid>
	<pubDate>Mon, 26 Aug 2013 17:07:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/3963/spotlight-on-genomics-understanding-our-genes-a-step-to-personalized-medicine</link>
	<title><![CDATA[Spotlight on Genomics: Understanding Our Genes - A Step to Personalized Medicine]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/GQqKRkPQXmk" frameborder="0" allowfullscreen></iframe>(Visit: http://www.uctv.tv/) Learn about the essential role of genomics in the development of stem cell based therapies. Craig Venter, president and founder of the J. Craig Venter Institute and Catriona Jamieson, director for stem cell research at the UCSD Moores Cancer Center, speak about the future of personalized medicine in which genomics, the study of genes and their function, is applied to pinpoint specific treatments for patients. Sandra Dillon, a clinical trial participant, gives a patient's perspective. [7/2013] [Health and Medicine] [Show ID: 24530]]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/11144/scientists-map-17294-proteins-produced-in-human-body</guid>
	<pubDate>Thu, 29 May 2014 01:57:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/11144/scientists-map-17294-proteins-produced-in-human-body</link>
	<title><![CDATA[Scientists map 17,294 proteins produced in human body]]></title>
	<description><![CDATA[<p>Indian scientists missed the genomic profiling bus, but they've more than made up for it by creating the first human proteome map which is an extension of the genomic study. Till now, here is no direct equivalent for the human proteome. But recently two groups present mass spectrometry-based analysis of human tissues, body fluids and cells mapping the large majority of the human proteome.</p><p>The Indian scientists working in Bangalore, along with their American counterparts, have mapped more than 17,000 proteins in 30 organs of the human body. Just like the human genome was sequenced around the turn of the millennium, this is an equivalent mapping of the human proteome.<br /><br />The researcher estimated there are around 20,500 proteins in the human body. These scientists have profiled around 17,294, which account for around 84% of the total proteins. Apart from this, the team also traced around 2,500 of 3,000 proteins that had been categorised as "missing proteins".</p><p>The work, done by group of Indian scientists, and Johns Hopkins University, published in the renowned journal Nature ( http://www.nature.com/nature/journal/v509/n7502/full/nature13302.html ). Of the 72 people who worked on the project, 46 are Indians.</p><p>Reference:</p><p>http://www.nature.com/nature/journal/v509/n7502/full/nature13302.html</p><p>http://www.proteinatlas.org/ -The antibody-based Human Protein Atlas programme</p><p>http://www.humanproteomemap.org/ -Proteogenomic analysis by identifying translated proteins from annotated pseudogenes, non-coding RNAs and untranslated regions.</p><p>https://www.proteomicsdb.org/ -Assembled protein evidence for 18,097 genes in ProteomicsDB</p><p>&nbsp;</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/5963/make-genomic-research-less-ethnically-biased</guid>
	<pubDate>Wed, 30 Oct 2013 16:08:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/5963/make-genomic-research-less-ethnically-biased</link>
	<title><![CDATA[Make Genomic Research Less Ethnically-Biased]]></title>
	<description><![CDATA[<p>Mexican billionaire Carlos Slim H&eacute;lu, the world&rsquo;s 2nd-richest man, is giving an additional $74 million to a genomics center in Boston in order to right a bias in the field&ndash;a kind of scientific racism, you might call it. The problem: most samples of DNA analyzed in biomedical research come from people of European descent.</p><p>Find more detail news at http://www.forbes.com/sites/erincarlyle/2013/10/30/carlos-slim-gives-another-74-million-to-make-genomic-research-less-ethnically-biased/?utm_campaign=forbesfbsf&amp;utm_source=facebook&amp;utm_medium=social</p>]]></description>
	<dc:creator>Shikha Logwani</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42985/janggu-deep-learning-for-genomics</guid>
	<pubDate>Tue, 23 Mar 2021 05:14:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42985/janggu-deep-learning-for-genomics</link>
	<title><![CDATA[Janggu - Deep learning for Genomics]]></title>
	<description><![CDATA[<p><span>Janggu is a python package that facilitates deep learning in the context of genomics. The package is freely available under a GPL-3.0 license.</span></p>
<p><span>Detail tutorial at&nbsp;https://janggu.readthedocs.io/en/latest/</span></p>
<p><span>USE cases</span></p>
<p><span>https://github.com/wkopp/janggu_usecases</span></p><p>Address of the bookmark: <a href="https://github.com/BIMSBbioinfo/janggu" rel="nofollow">https://github.com/BIMSBbioinfo/janggu</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/11434/adhoc-bioinformatics-faculty-position-nit</guid>
  <pubDate>Tue, 03 Jun 2014 16:19:52 -0500</pubDate>
  <link></link>
  <title><![CDATA[Adhoc Bioinformatics Faculty Position @ NIT]]></title>
  <description><![CDATA[
<p>NATIONAL INSTITUTE OF TECHNOLOGY, DEPARTMENT OF BIOTECHNOLOGY, WARANGAL – 506 021, Andhra Pradesh</p>

<p>No.NITW/BT/2014/adhoc</p>

<p>APPLICATIONS ARE INVITED FOR THE APPOINTMENT OF ADHOC FACULTY ON CONTRACT BASIS IN THE DEAPARTMENT OF BIOTECHNOLOGY</p>

<p>Period of Contract: Initially the appointment is for one semester i.e., from July 2014 up to December 2014 only.</p>

<p>Essential Qualifications:</p>

<p>i) B. Tech or equivalent in Biotechnology/ Industrial Biotechnology/ Biochemical Engineering / Chemical Engg. Or M. Sc in Microbiology/ Botany/ Zoology/ Biochemistry/Biotechnology and ii) M. Tech or equivalent in Biotechnology/Industrial Biotechnology/Bioinformatics</p>

<p>Or</p>

<p>Integrated M. Tech in Biotechnology/Industrial Biotechnology/ Bioinformatics</p>

<p>Candidates must possess First class (60% aggregate marks or 6.5 CGPA) at B. Tech/ M. Sc and M. Tech.</p>

<p>Desirable: Ph. D Pay Package: All selected candidates shall be eligible for a consolidated pay of Rs.30, 000/- per month. Candidates with Ph. D shall be eligible for an additional amount of Rs.5, 000/- per month.</p>

<p>How to apply : Applications on plain paper with attested photocopies of certificate and bio data along with justification for eligibility should reach to the Head, Department of Biotechnology, National Institute of Technology, Warangal AP 506004 in the form of soft or hard copy on or before 21st June 2014 email : biotech_hod@nitw.ac.in</p>

<p>Intimation: No separate call letters will be sent to the candidates. All the eligible candidates will be notified in the institute web site on 23rd June 2014. All the eligible candidates are requested to report for the interview to the Head, Department of Biotechnology at 9:00 AM on 27th June 2014</p>

<p>Joining: Selected candidates will be informed and they are expected to join immediately.</p>

<p>Advertisement:</p>

<p>http://www.nitw.ac.in/nitw/announcements/2014/Bio-Adhoc%20Advt.%20May-2014.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/36647/bioinformatics-jobs-at-nibmg</guid>
  <pubDate>Wed, 16 May 2018 02:57:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics jobs at NIBMG]]></title>
  <description><![CDATA[
<p>NIBMG are looking for bright and motivated people in our big projects on cutting edge biomedical genomics research</p>

<p>http://www.nibmg.ac.in/academic/SyMeC-ICGC/SyMeC%20&amp;%20ICGC_May%202018.pdf</p>

<p>http://www.nibmg.ac.in/academic/plp/15_05_2018/AdvertisementMay2018.pdf</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/11735/search-shell-command-history</guid>
	<pubDate>Thu, 12 Jun 2014 17:43:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/11735/search-shell-command-history</link>
	<title><![CDATA[Search Shell Command History]]></title>
	<description><![CDATA[<p>We use couple of hundreads of command in daily basis. Most of them are actually repeated several time. The question remain open how do I search old command history under bash shell and modify or reuse it? <br /><br />Now a days almost all modern shell allows you to search command history if enabled by user. Use history command to display the history list with line numbers. Lines listed with with a * have been modified by user.</p><p><br /><strong>Shell history search command</strong><br /><br />Type history at a shell prompt:<br />$ history</p><p>It will display the list of all used commandline history with an serial number.<br /><br />To search particular command, enter:<br />$ history | grep command-name<br />$ history | egrep -i 'scp|ssh|ftp'<br />Emacs Line-Edit Mode Command History Searching<br /><br />To get previous command containing string, hit [CTRL]+[r] followed by search string:<br /><br />(reverse-i-search): <br /><br />To get previous command, hit [CTRL]+[p]. You can also use up arrow key.<br /><br />CTRL-p<br /><br />To get next command, hit [CTRL]+[n]. You can also use down arrow key.<br /><br />CTRL-n<br /><br /></p><p><strong>fc command</strong></p><p>Apart from hostory command there are fc command to extract the command from history. The fc stands for either "find command" or "fix command.</p><p>For example list last 10 command, enter:<br />$ fc -l 10<br />To list commands 130 through 150, enter:<br />$ fc -l 130 150<br />To list all commands since the last command beginning with ssh, enter:<br />$ fc -l ssh<br />You can edit commands 1 through 5 using vi text editor, enter:<br />$ fc -e vi 1 5</p><p><strong>Delete command history</strong><br /><br />The -c option causes the history list to be cleared by deleting all of the entries:<br />$ history -c</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/37581/comparativegenomics-exercise2</guid>
	<pubDate>Wed, 22 Aug 2018 22:10:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/37581/comparativegenomics-exercise2</link>
	<title><![CDATA[ComparativeGenomics Exercise2]]></title>
	<description><![CDATA[<p>COMPARATIVE MICROBIAL GENOMICS ANALYSIS WORKSHOP&nbsp; @&nbsp;cbs.dtu.dk</p><p>Free Bioinformatics workbench https://www.mn.uio.no/ifi/english/research/networks/clsi/earlier_seminars/2012/tammivesth_osloseminarfinal.pdf</p>]]></description>
	<dc:creator>Neel</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/37581" length="139956" type="application/pdf" />
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