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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/37590?offset=1210</link>
	<atom:link href="https://bioinformaticsonline.com/related/37590?offset=1210" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41875/virtualflow-a-versatile-parallel-workflow-platform-for-carrying-out-virtual-screening</guid>
	<pubDate>Sat, 13 Jun 2020 13:03:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41875/virtualflow-a-versatile-parallel-workflow-platform-for-carrying-out-virtual-screening</link>
	<title><![CDATA[VirtualFlow: a versatile, parallel workflow platform for carrying out virtual screening]]></title>
	<description><![CDATA[<p>&nbsp;related tasks on Linux-based computer clusters of any type and size which are managed by a batchsystem&nbsp;(such as SLURM).&nbsp;</p>
<p>Currently, there exist two versions of VirtualFlow, which are tailored to different types of tasks:</p>
<ul>
<li><strong><a href="https://virtual-flow.org/#vflp">VFLP: VirtualFlow for Ligand Preparation</a></strong></li>
<li><strong><a href="https://virtual-flow.org/#vfvs"><strong>VFVS</strong><strong>&nbsp;:</strong>&nbsp;VirtualFlow for Virtual Screenings</a></strong></li>
</ul>
<p>They use the same core technology regarding the workflow management and parallelization, and they can be used individually&nbsp;or in concert with each other.&nbsp;Additional versions are expected to arrive in the future.&nbsp;</p>
<p><a href="https://github.com/VirtualFlow">https://github.com/VirtualFlow</a></p>
<p><a href="https://www.nature.com/articles/s41586-020-2117-z">https://www.nature.com/articles/s41586-020-2117-z?</a></p><p>Address of the bookmark: <a href="https://virtual-flow.org/" rel="nofollow">https://virtual-flow.org/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/10773/bioinformatics-jrfsrf-position-at-national-research-centre-on-plant-biotechnology</guid>
  <pubDate>Sun, 11 May 2014 22:29:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics JRF/SRF position at NATIONAL RESEARCH CENTRE ON PLANT BIOTECHNOLOGY]]></title>
  <description><![CDATA[
<p>NATIONAL RESEARCH CENTRE ON PLANT BIOTECHNOLOGY<br />LBS, CENTRE, PUSA CAMPUS, IARI NEW DELHI<br />NEW DELHI – 110 012</p>

<p>WALK- IN –INTERVIEWS</p>

<p>Eligible candidates may appear in Walk-in-Interview on May 23, 2014 at 10 AM for the posts of Research Associates &amp; Senior Research Fellows (SRF) in the following DST/DBT/ICAR funded projects.</p>

<p>1 NPTC Project on Bioinformatics and Comparative Genomics</p>

<p>Research Associate (One)</p>

<p>Rs. 24000/- + 30% HRA for masters degree holder with more than 4 years experience</p>

<p>Essential: Ph D in Plant Molecular Biology &amp; Biotechnology/Genetics 0r Candidates who have already submitted their Ph D thesis in above subjects</p>

<p>Desirable: Research experience in Genomics, Molecular biology, Microarrays analysis, Gene cloning, transgenic Techniques , and computational analysis.</p>

<p>Senior Research Fellow ( UGCCSIR/ DBT/ ICAR Net qualified only): (One)</p>

<p>Rs. 16000/- + 30% HRA and Rs. 18000+30 HRA from 3rd year onwards</p>

<p>Essential:</p>

<p>1. ICAR/ UGCCSIR/DBT Net qualified only</p>

<p>2. M. Sc. (with thesis) in Biotechnology, Life Sciences, Biosciences/ Bioinformatics, Genetics/ Plant Pathology with experience in molecular biology.</p>

<p>Or M.Sc with more than 3 years research experiences</p>

<p>3. B.Sc. Agriculture or Biology</p>

<p>Desirable:<br />1. M. Sc. with thesis<br />2. Experience in molecular biology, plant tissue culture<br />3. Bioinformatics knowledge is important</p>

<p>2 DST JC Bose National Fellowship</p>

<p>Research Associate (Bioinformatics) : One</p>

<p>Rs.22000/- + 30% HRA for 1 &amp; 2nd Yr., Rs. 23000+ 30% HRA for 3rd year and Rs. 24000+30% HRA for 4th &amp;5th yr</p>

<p>Essential: M Ph D in Plant Molecular Biology &amp; Biotechnology/Genetics</p>

<p>Desirable: Research experience in Genomics, Molecular biology, Microarrays analysis, Gene cloning, transgenic Techniques , and computational analysis.</p>

<p>Age limit: Max.35 years (Age relaxation of 5 years for SC/ST &amp; women and 3 years for OBC)</p>

<p>The posts are purely temporary in nature and are co-terminus with the project. Initially the offer will be made for one year only and may be further extendable based on performance of the candidate. The interview will be held on May 23 , 2014 at 10:00 AM at NRCPB, LBS Building, Pusa Campus, IARI, New Delhi- 110012. The candidates must bring four copies of biodata (in the prescribed proforma), original certificates, attested photocopies of each of the certificates and an attested copy of recent passport size photograph. No. TA/DA would be given for the appearance in interview. Only the candidates having essential qualification would be entertained for the interviews. Short-listing of candidates based on academic merit and experience will be done in case of large number of applicants.</p>

<p>Advertisement: http://www.nrcpb.org/sites/default/files/Advertisement%20for%20RA%20and%20SRF%20Position.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/1182/installing-perl-gd-module</guid>
	<pubDate>Mon, 22 Jul 2013 14:02:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/1182/installing-perl-gd-module</link>
	<title><![CDATA[Installing Perl GD Module]]></title>
	<description><![CDATA[<div><p>In comparative genome analysis work, we usually compare more than two genomes and looks for syntenic regions amongst them. In my research I used Evolution Highway (RH) <a href="http://eh-demo.ncsa.uiuc.edu/">http://eh-demo.ncsa.uiuc.edu/</a>, which is a collaborative project designed to provide a visual means for simultaneously comparing genomes of multiple amniote species. The tool removes the burden of manually aligning these maps and allows cognitive skills to be used toward something more valuable than preparation and transformation of data. In addition to EH, attractive Circos (<a href="http://circos.ca/">http://circos.ca/</a>) is also very popular for this kind of analysis.</p><p>The EH is available online, and can be easily access and use, whereas Circos installation is not entirely straightforward. One of the most difficult parts of the installation involves installing the GD library. Since there weren't good instructions for installing this library on the internet I decided to post instructions here in case they are useful to anyone else.</p><p><strong>Following are the steps to install GD modules in Mac OS</strong><br /><br />1. Setup<br /><br />Create a folder for the files:<br /><br />$ mkdir -p /SourceCache<br />$ cd /SourceCache<br /><br />Get and unpack the required Jpeg-6b and GD libraries:<br />Download Jpeg-6b (<a href="http://code.google.com/p/google-desktop-for-linux-mirror/downloads/detail?name=jpeg-6b.tar.gz&amp;can=2&amp;q">http://code.google.com/p/google-desktop-for-linux-mirror/downloads/detail?name=jpeg-6b.tar.gz&amp;can=2&amp;q</a>)<br />Download GD (<a href="http://search.cpan.org/%7Elds/GD-2.46/">http://search.cpan.org/~lds/GD-2.46/</a>)<br /><br />Place the "tar.gz" files in "/SourceCache" and double click to unpack.<br /><br />2. Install libjpeg<br /><br />Copy the "config.sub" and "config.guess" files to "/SourceCache". Note that your "config.sub" and ""config.guess" files may be in a slightly different location. The commands below show where they were on my machine:<br /><br />$ cd /SourceCache/jpeg-6b/src<br />$ cp /usr/share/libtool/config/config.sub .<br />$ cp /usr/share/libtool/config/config.guess .<br /><br />Configure libjpeg as follows. Note that this was installed on a 64 bit machine. However, this method may configure it in a 32 bit format. This may not be the best way to configure the installation but it works.<br /><br />$ .configure --enable-shared<br />$ make<br /><br />Check to see if the following directories exist on your machine. Create the missing directories in the following manner:<br /><br />$ mkdir -p /usr/local/include<br />$ mkdir -p /usr/local/bin<br />$ mkdir -p /usr/local/lib<br />$ mkdir -p /usr/local/man/man1<br /><br />Finish making and installing libjpeg:<br /><br />$ make install<br /><br />3. Install GD<br /><br />$ cd /SourceCache/GD-2.46/GD/<br />$ perl Makefile.PL<br />$ make<br />$ make test (optional)<br />$ make html (optional)<br />$ make install</p><p><strong>Other way for Mac OS</strong><br />The easiest way to get a lot of these is with a program called Fink, which is similar in nature to the CPAN installer, but installs common GNU utilities. Fink is available from &lt;<a href="http://sourceforge.net/projects/fink/%3E">http://sourceforge.net/projects/fink/&gt;</a>.<br /><br />Follow the instructions for setting up Fink. Once it's installed, you'll want to run the following as root: fink install gd<br /><br />It will prompt you for a number of dependencies, type 'y' and hit enter to install all of the dependencies. Then watch it work.<br /><br />To prevent creating conflicts with the software that Apple installs by default, Fink creates its own directory tree at /sw where it installs most of the software that it installs. This means your libraries and headers for libgd will be at /sw/lib and /sw/include instead of /usr/lib and /usr/local/include. Because of these changed locations for the libraries, the Perl GD module will not install directly via CPAN, because it looks for the specific paths instead of getting them from your environment. But there's a way around that :-)<br /><br />Instead of typing "install GD" at the cpan&gt; prompt, type look GD. This should go through the motions of downloading the latest version of the GD module, then it will open a shell and drop you into the build directory. Apply below patch to the Makefile.PL file (save the patch into a file and use the command patch &lt; patchfile.)<br /><br />Then, run these commands to finish the installation of the GD module:<br /><br />perl Makefile.PL<br />make<br />make test<br />make install<br />And don't forget to run exit to get back to CPAN.</p><p>&nbsp;</p><p><strong>Install on MS Window, using PPM</strong></p><p>C:\Documents and Settings\Owner&gt;ppm<br />PPM interactive shell (2.2.0) - type 'help' for available commands.<br />PPM&gt; install GD<br />Install package 'GD?' (y/N): y<br />Installing package 'GD'...<br />Downloading <a href="http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW">http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW</a>. ...<br />Installing C:\Perl\site\lib\auto\GD\GD.bs<br />Installing C:\Perl\site\lib\auto\GD\GD.dll<br />Installing C:\Perl\site\lib\auto\GD\GD.exp<br />Installing C:\Perl\site\lib\auto\GD\GD.lib<br />Installing C:\Perl\html\site\lib\GD.html<br />Installing C:\Perl\site\lib\GD.pm<br />Installing C:\Perl\site\lib\qd.pl<br />Installing C:\Perl\site\lib\auto\GD\autosplit.ix<br />PPM&gt;<br /><br /><br />If you can't install it from ppm. You can download it:<br /><a href="http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW">http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW</a>.<br /><br /><br />BTW,All Perl 5.6.1 Modules are located at:<br /><br /><a href="http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW">http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW</a>.</p><p>&nbsp;</p><p><strong>Install the Perl GD Module on Linux</strong><br /><br />$ sudo perl -MCPAN -e shell<br /><br />Since it was the first time I had run this command on this particular machine I had to answer a lot of questions but simply selected the defaults for everything as this usually works for me. Once in the CPAN shell I entered<br /><br />$ install Bundle::CPAN<br /><br />and selected all of the defaults again. Once the CPAN bundle had finished installing I tried to install GD::Graph by typing<br /><br />$ install GD::Graph<br /><br />but it failed with hundreds of errors &ndash; the first of which was<br /><br />GD.xs:7:16: error: gd.h: No such file or directory<br /><br />This was fixed with the following apt-get command (in the bash shell)<br /><br />$ sudo apt-get install libgd2-xpm-dev<br /><br />back in the CPAN shell I still couldn&rsquo;t get GD::Graph to build and I guessed this was because of some left over files from the failed build. I don&rsquo;t know the command to clean things up inside the CPAN shell and am too lazy to read the docs so I simply went into the .cpan/build directory in my home directory and deleted anything that started with GD &ndash; eg<br /><br />$ rm -rf GD-2.35-HC_vkB<br /><br />$ rm -rf GDGraph-1.44-Evfibe<br /><br />and so on. Those strings at the end (VkB and so on) look random so they might be different on your machine. Then I went back into the CPAN shell and ran<br /><br />$ install GD::Graph<br /><br />There were a few dependencies which the script fetched and installed for me but everything worked smoothly.</p><p>Manual and other Perl Module instalation are mentioned in my previous blog @ <a href="http://bioinformaticsonline.com/blog/view/710/how-to-install-perl-modules-manually-using-cpan-command-and-other-quick-ways">http://bioinformaticsonline.com/blog/view/710/how-to-install-perl-modules-manually-using-cpan-command-and-other-quick-ways</a></p></div>]]></description>
	<dc:creator>Jit</dc:creator>
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	<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/bookmarks/view/2376/citrus-perl</guid>
	<pubDate>Wed, 14 Aug 2013 14:57:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2376/citrus-perl</link>
	<title><![CDATA[Citrus Perl]]></title>
	<description><![CDATA[<p>Citrus Perl is a binary distribution of Perl created for GUI application developers. The distribution includes <a href="http://wxperl.sourceforge.net">wxPerl</a>, the Perl wrapper for <a href="http://www.wxwidgets.org">wxWidgets</a>. Where supported by the operating system wxWidgets is available as a package for the 2.8.x stable branch and the 2.9.x development branch.</p><p>Address of the bookmark: <a href="http://www.citrusperl.com/" rel="nofollow">http://www.citrusperl.com/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/4882/detect-the-sequence-pattern-and-its-location-in-fasta-file-with-match-and-mismatches-information</guid>
	<pubDate>Thu, 26 Sep 2013 15:02:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/4882/detect-the-sequence-pattern-and-its-location-in-fasta-file-with-match-and-mismatches-information</link>
	<title><![CDATA[Detect the sequence pattern and its location in fasta file with match and mismatches information.]]></title>
	<description><![CDATA[<p>This script is one of my old script to detect some centromeric pattern in chromosomes. User can also control the number of mismatches allowed through command line ..</p><p>To run:</p><p>perl centro.pl</p>]]></description>
	<dc:creator>Jit</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/4882" length="3596" type="text/x-perl" />
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/11249/how-to-sequence-the-human-genome-mark-j-kiel</guid>
	<pubDate>Fri, 30 May 2014 13:24:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/11249/how-to-sequence-the-human-genome-mark-j-kiel</link>
	<title><![CDATA[How to sequence the human genome - Mark J. Kiel]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/MvuYATh7Y74" frameborder="0" allowfullscreen></iframe>View full lesson: http://ed.ted.com/lessons/how-to-sequence-the-human-genome-mark-j-kiel

Your genome, every human's genome, consists of a unique DNA sequence of A's, T's, C's and G's that tell your cells how to operate. Thanks to technological advances, scientists are now able to know the sequence of letters that makes up an individual genome relatively quickly and inexpensively. Mark J. Kiel takes an in-depth look at the science behind the sequence.

Lesson by Mark J. Kiel, animation by Marc Christoforidis.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33689/bio-graphics-237</guid>
	<pubDate>Sun, 25 Jun 2017 17:52:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33689/bio-graphics-237</link>
	<title><![CDATA[Bio-Graphics-2.37]]></title>
	<description><![CDATA[<p>BioPerl modules&nbsp;<a href="http://search.cpan.org/~lds/Bio-Graphics-2.37/lib/Bio/Graphics.pm">Bio::Graphics</a>&nbsp;+&nbsp;<a href="http://search.cpan.org/~cjfields/BioPerl-1.6.923/Bio/DB/GFF.pm">Bio::DB:GFF</a>&nbsp;and example scripts. It can draw some of the (but not all) feature types GBrowse can draw. This script should contain everything you can probably make use of (e.g. transcripts, segments, etc.) and you can try to find a good way of visualization by experimenting with its options.</p>
<p>http://search.cpan.org/~lds/Bio-Graphics-2.37/</p><p>Address of the bookmark: <a href="http://search.cpan.org/~lds/Bio-Graphics-2.37/" rel="nofollow">http://search.cpan.org/~lds/Bio-Graphics-2.37/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/11354/genomics-and-personalized-medicine</guid>
	<pubDate>Sun, 01 Jun 2014 23:38:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/11354/genomics-and-personalized-medicine</link>
	<title><![CDATA[Genomics and Personalized Medicine]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/pgHAXCMMcro" frameborder="0" allowfullscreen></iframe>(October 20, 2009) Michael Snyder, Professor of Genetics and Chair of the Department of Genetics at Stanford, discusses advances in gene sequencing, the impact of genomics on medicine, the potential for personalized medicine. and efforts at Stanford to further study these issues.

Stanford Mini Med School is a series arranged and directed by Stanford's School of Medicine, and presented by the Stanford Continuing Studies program. Featuring more than thirty distinguished, faculty, scientists and physicians from Stanford's medical school, the series offers students a dynamic introduction to the world of human biology, health and disease, and the groundbreaking changes taking place in medical research and health care.

Stanford University
http://www.stanford.edu

Stanford University School of Medicine
http://med.stanford.edu

Stanford Continuing Studies
http://continuingstudies.stanford.edu

Stanford University Channel on YouTube:
http://www.youtube.com/stanford]]></description>
	
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