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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/10394?offset=40</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/11313/linux-sort-commands-for-bioinformatics</guid>
	<pubDate>Sat, 31 May 2014 15:41:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/11313/linux-sort-commands-for-bioinformatics</link>
	<title><![CDATA[Linux Sort Commands for Bioinformatics]]></title>
	<description><![CDATA[<p>Almost all the scripting languages such as Perl, Python etc have built-in sort, but unfortunately none of them are as flexible as sort command. But one when it come to space efficiency GNU sort stands at the top. It can sort a 20Gb file with less than 2Gb memory. It is not trivial to implement so powerful a sort by yourself.</p><p>sort a space-delimited file based on its first column, then the second if the first is the same, and so on:<br />sort input.txt</p><p>sort a huge file (GNU sort ONLY):<br />sort -S 1500M -t $HOME/tmp input.txt &gt; sorted.txt</p><p>sort starting from the third column, skipping the first two columns:<br />sort +2 input.txt</p><p>sort the second column as numbers, descending order; if identical, sort the 3rd as strings, ascending order:<br />sort -k2,2nr -k3,3 input.txt</p><p>sort starting from the 4th character at column 2, as numbers:<br />sort -k2.4n input.txt</p><p>More Linxu sort command information<br /><br />If you have any sort commands you'd like to share, please add them to our comments section below. For more help, you can also type:<br /><br />man sort<br /><br />or<br /><br />sort --help<br /><br />on your Unix/Linux system.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/11494/postdoc-position-at-centre-mediterraneen-de-medecine-moleculaire-nice-france</guid>
  <pubDate>Wed, 04 Jun 2014 07:20:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoc position at Centre Méditerranéen de Médecine Moléculaire - Nice - France]]></title>
  <description><![CDATA[
<p>The research group of Dr. Michele Trabucchi at the Centre Méditerranéen de Médecine Moléculaire (C3M) at INSERM U1065 (University of Nice Sophia-Antipolis, France) is seeking candidates for a Postdoctoral fellow position to start on October 2014 for 3 years funded by FRM (Fondation pour la Recherche Médicale).<br />The broad interest of the lab is in understanding the expression control and function of small RNAs in activated myeloid cells (visit our webpage to check research interests and publications of the group : http://www.unice.fr/c3m/EN/Equipe10.html ). </p>

<p>The work will focus on the functional studies of small RNAs by using next-generation sequencing approaches.<br /> <br />Candidates should hold a Ph.D. degree and have strong background in bioinformatics.<br />The University of Nice Sophia-Antipolis provides a wide range of facilities and training essential for biomedical research.</p>

<p>Interested applicants should send a PDF with a cover letter stating research interests and qualifications, an updated CV, a summary of previous research experience and contact information for two references to Michele Trabucchi ( mtrabucchi@unice.fr )</p>

<p>Homepage: http://www.unice.fr/c3m/EN/Equipe10.html</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/12206/bioinformatics-algorithms-tutorials</guid>
	<pubDate>Tue, 24 Jun 2014 00:10:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/12206/bioinformatics-algorithms-tutorials</link>
	<title><![CDATA[Bioinformatics algorithms tutorials]]></title>
	<description><![CDATA[<p>Useful bioinformatics tutorial, such as</p>
<p>De Bruijn Graphs for NGS Assembly<br>Algorithms for PacBio Reads<br>Software and Hardware Concepts for Bioinformatics<br>Finding us in Homolog.us (Search Algorithms)<br>NGS Genome and RNAseq Assembly - a Hands on Primer<br>Introduction to PERL, Python, R and C/C++ for Bioinformatics</p><p>Address of the bookmark: <a href="http://www.homolog.us/Tutorials/" rel="nofollow">http://www.homolog.us/Tutorials/</a></p>]]></description>
	<dc:creator>John Parker</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/14050/assistant-professor-in-bioinformatics-at-indian-institute-of-technology-delhi</guid>
  <pubDate>Fri, 15 Aug 2014 06:16:06 -0500</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor 	in Bioinformatics at Indian Institute of Technology Delhi]]></title>
  <description><![CDATA[
<p>Indian Institute of Technology Delhi Hauz Khas ,New Delhi – 110016</p>

<p>ROLLING ADVERTISEMENT NO. 01/2014(E-1)<br />ADVERTISEMENT FOR THE POSITIONS OF ASSISTANT PROFESSOR CANDIDATES CAN APPLY ANY TIME DURING THE YEAR.</p>

<p>IIT Delhi invites applications from qualified Indian Nationals, Persons of Indian Origin (PIOs) and Overseas Citizens of India (OCIs) for the following positions in the various Departments/Centres/Schools (in the fields<br />mentioned alongwith them):<br />Post Pay Band Assistant Professor and Assistant Professor (on Contract) Rs.15600-39100 (PB-3) (Minimum pay of Rs.30000/-)+ AGP Rs.8000/-</p>

<p>The following norms will be followed for fixing the basic pay + AGP for Assistant Professors appointed on<br />contract with Ph.D but experience of 3 years or less:-<br />Type Qualification &amp; Experience on the date of joining<br />Assistant Professor (Contract) PB3 (Rs. 15,600-39,100).</p>

<p>MINIMUM QUALIFICATIONS AND EXPERIENCE:<br />Ph.D. with First class at the preceding degree or equivalent in the appropriate branch with very good academic record throughout. A minimum of three years industrial/research/teaching experience, excluding however, the experience gained while Pursuing Ph. D. The candidates should preferably be below<br />35 years of age for male and 38 years for female ( to be relaxed by 5 years in case of persons with physical disability, SC/ST and 3 years in case of OBC-NCL).</p>

<p>Qualified persons include:<br />(a) Indian Nationals,<br />(b) Foreign Nationals who are “Persons of Indian Origin” (PIO) or Overseas<br />Citizens of India (OCI), in whose case, if selected, permission will be sought from Govt. of India<br />before he/she can join IIT Delhi, or<br />(c) Other Foreign Nationals, in whose case, if selected, appointment will be on a contract basis for up to 5 (five) years subject to permission from the Govt. of India before he/she can join IIT Delhi.<br />(d) Institute specifically encourages applicants from SC/ST/OBC category as well as persons<br />with disability to apply for these positions. </p>

<p>AMAR NATH &amp; SHASHI KHOSLA SCHOOL OF INFORMATION TECHNOLOGY:<br />Computational Neuroscience, Medical Applications of Information Technologies, Computational &amp; Systems Biology, Machine to Machine (M2M) Technologies, Embedded Systems &amp; Sensors, Computer Security.<br />KUSUMA SCHOOL OF BIOLOGICAL SCIENCES:<br />In-silico Biology Applications, Systems Biology, Infection Biology, Neurodegeneration. </p>

<p>More at http://www.iitd.ac.in/sites/default/files/jobs/faculty/spl-areas-rolling-advt.pdf</p>

<p>http://www.iitd.ac.in/content/faculty-positions</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/18382/google-genomics</guid>
	<pubDate>Fri, 17 Oct 2014 02:14:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/18382/google-genomics</link>
	<title><![CDATA[Google Genomics]]></title>
	<description><![CDATA[<p>Google Genomics provides an API to store, process, explore, and share DNA sequence reads, reference-based alignments, and variant calls, using Google's cloud infrastructure.</p>
<ul>
<li><strong>Store</strong> alignments and variant calls for one genome or a million.</li>
<li><strong>Process</strong> genomic data in batch by running principal component analysis or Hardy-Weinberg equilibrium, in minutes or hours, by using parallel computing frameworks like MapReduce.</li>
<li><strong>Explore</strong> data by slicing alignments and variants by genomic range across one or multiple samples -- for your own algorithms or for visualization; or interactively process entire cohorts to find transition/transversion ratios, allelic frequency, genome-wide association and more using BigQuery.</li>
<li><strong>Share</strong> genomic data with your research group, collaborators, the broader community, or the public. You decide.</li>
</ul>
<p>Google Genomics is implementing the API defined by the <a href="http://genomicsandhealth.org/">Global Alliance for Genomics and Health</a> for visualization, analysis and more. Compliant software can access Google Genomics, local servers, or any other implementation.</p><p>Address of the bookmark: <a href="https://cloud.google.com/genomics/" rel="nofollow">https://cloud.google.com/genomics/</a></p>]]></description>
	<dc:creator>Reshma Khatun</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/18578/research-scientist-%E2%80%93-national-institute-of-cholera-and-enteric-diseases</guid>
  <pubDate>Wed, 22 Oct 2014 10:26:46 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Scientist – National Institute of Cholera and Enteric Diseases]]></title>
  <description><![CDATA[
<p>The following post is to be filled up on purely temporary basis under the project entitled "Second phase of Task Force Biomedical Informatics Center of ICMR" under Dr. Santasabuj Das, Scientist 'D' of this Institute:-</p>

<p>01. Scientist II 01<br />Essential: Ph.D. degree in Life Sciences from a recognized university along with a minimum of 2 years of research experience in Bioinformatics as evidenced by publications in the peer reviewed journals.</p>

<p>OR<br />Ph.D. degree in Bioinformatics from a recognized university.</p>

<p>OR<br />M.Sc. in Bioinformatics from a recognized university along with a minimum of 3 years of research experience in Bioinformatics as evidenced by publications in the peer reviewed journals.</p>

<p>Desirable:<br />Thorough Knowledge about In silico genome analysis and comparative genomics.<br />Experience with in silico identification of novel virulence factors of pathogens, host-pathogen interactions and Systems Biology.<br />Additional Postdoctoral research experience in relevant subjects from a recognized institutions.</p>

<p>Rs. 44,000/- p.m. (consolidated) plus 30% HRA</p>

<p>Below 40 years</p>

<p>Applications along with Bio-Data containing detail work experience and full list of publications may be sent via email tosantasabujdas@yahoo.com latest by October 27, 2014.</p>

<p>Short-listed candidates will be called via email for an interview to be held at the institute in the second week of November, 2014.</p>

<p>Advertisement: www.niced.org.in/placements.htm</p>
]]></description>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/19636/google-genomics</guid>
	<pubDate>Thu, 18 Dec 2014 11:05:42 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/19636/google-genomics</link>
	<title><![CDATA[Google Genomics]]></title>
	<description><![CDATA[<ul>
<li>
<p><strong>Explore genetic variation interactively.</strong> Compare entire cohorts in seconds with SQL-like queries. Compute transition/transversion ratios, genome-wide association, allelic frequency and more.</p>
</li>
<li>
<p><strong>Process big genomic data easily.</strong> Run batch analyses like principal component analysis and Hardy-Weinberg equilibrium on as many samples as you like, in minutes or hours, with just a little code.</p>
</li>
<li>
<p><strong>Use Google's infrastructure and big data expertise.</strong> Store one genome or a million using Google Genomics and take advantage of the same infrastructure that powers Search, Maps, YouTube, Gmail and Drive.</p>
</li>
<li>
<p><strong>Support emerging global standards.</strong> Google Genomics is implementing the API defined by the Global Alliance for Genomics and Health for visualization, analysis and more. Compliant software can access Google Genomics, local servers, or any other implementation.</p>
</li>
</ul><p>Address of the bookmark: <a href="https://cloud.google.com/genomics/" rel="nofollow">https://cloud.google.com/genomics/</a></p>]]></description>
	<dc:creator>Tenzin Paul</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/20454/comparative-genomics-in-ensembl</guid>
	<pubDate>Wed, 21 Jan 2015 08:31:11 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/20454/comparative-genomics-in-ensembl</link>
	<title><![CDATA[Comparative Genomics in Ensembl]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/dDRdCnZOMCM" frameborder="0" allowfullscreen></iframe>The Ensembl browser provides viewable whole-genome alignments, homologues and phylogenetic gene trees, protein families, and ancestral sequences.  Learn how to view and export these data in this video.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/21312/r-for-microsoft-excel</guid>
	<pubDate>Wed, 18 Feb 2015 00:43:27 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/21312/r-for-microsoft-excel</link>
	<title><![CDATA[R for Microsoft Excel]]></title>
	<description><![CDATA[<div><p>If you currently use a spreadsheet like Microsoft Excel for data analysis, you might be interested in taking a look at this <a href="https://districtdatalabs.silvrback.com/intro-to-r-for-microsoft-excel-users" target="_blank">tutorial on how to transition from Excel to R</a>&nbsp;by Tony Ojeda. The tutorial explains how to use R functions in place of Excel formulas, including tools like =AVERAGE and =VLOOKUP. For the most part, it uses modern R packages to keep the R code clear and concise.</p><p>You'll likely still be using Excel as a data source, though, so you'll also want to check out this <a href="http://www.milanor.net/blog/?p=779" target="_blank">guide to importing data from Excel to R</a> from MilanoR.</p></div><p>Reference http://www.r-bloggers.com/an-r-tutorial-for-microsoft-excel-users/</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/21367/a-guide-for-complete-r-beginners-r-syntax</guid>
	<pubDate>Fri, 20 Feb 2015 23:41:03 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/21367/a-guide-for-complete-r-beginners-r-syntax</link>
	<title><![CDATA[A guide for complete R beginners :- R Syntax]]></title>
	<description><![CDATA[<p>R is a functional based language, the inputs to a function, including options, are in brackets. Note that all dat and options are separated by a comma</p><ul>
<li>Function(data, options)</li>
</ul><p>Even quit is a function</p><ul>
<li>q()</li>
</ul><p>So is help</p><blockquote><p><strong>help(read.table)</strong></p></blockquote><p>Provides the help page for the FUNCTION &lsquo;read.table&rsquo;</p><blockquote><p><strong>help.search(&ldquo;t test&rdquo;)</strong></p></blockquote><p>Searches for help pages that might relate to the phrase &lsquo;t test&rsquo;</p><p><strong>NOTE</strong>: quotes are needed for search strings, they are not needed when referring to data objects or function names.</p><p>There is a short cut for help,</p><p>? shows the help page on a function name, same as <em>help(function)</em></p><blockquote><p><strong>?read.table</strong></p></blockquote><p>?? searches for help pages on functions, same as <em>help.search(&lsquo;phrase&rsquo;)</em></p><blockquote><p><strong>??&ldquo;t test&rdquo;</strong></p></blockquote><p>Information is usually returned from a function, by default this is printed to screen</p><blockquote><p><strong>read.table(&lsquo;data.tsv&rsquo;)</strong></p></blockquote><p>This can always be stored, we call what it is stored in an &lsquo;object&rsquo;</p><p><strong>mydata </strong></p><p>here <strong>mydata</strong> is an object of type <span style="text-decoration: underline;">dataframe</span></p><p><strong>Reminder:</strong></p><ul>
<li>Vector: a list of numbers, equivalent to a column in a table</li>
<li>Data Frame = a collection of vectors. Equivalent to a table</li>
</ul><p><strong>Hint</strong>:</p><ul>
<li>Up/Down arrow keys can be use to cycle through previous commands</li>
</ul>]]></description>
	<dc:creator>Archana Malhotra</dc:creator>
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