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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/27113?offset=340</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27850/clusterprofiler</guid>
	<pubDate>Thu, 16 Jun 2016 18:57:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27850/clusterprofiler</link>
	<title><![CDATA[clusterProfiler]]></title>
	<description><![CDATA[<p>statistical analysis and visulization of functional profiles for genes and gene clusters<br><br>Bioconductor version: Release (3.3)<br><br>This package implements methods to analyze and visualize functional profiles (GO and KEGG) of gene and gene clusters.<br><br>Author: Guangchuang Yu &lt;guangchuangyu at gmail.com&gt; with contributions from Li-Gen Wang and Giovanni Dall'Olio.<br><br>Maintainer: Guangchuang Yu &lt;guangchuangyu at gmail.com&gt;<br><br>Citation (from within R, enter citation("clusterProfiler")):<br><br>Yu G, Wang L, Han Y and He Q (2012). &ldquo;clusterProfiler: an R package for comparing biological themes among gene clusters.&rdquo; OMICS: A Journal of Integrative Biology, 16(5), pp. 284-287.<br>Installation<br><br>To install this package, start R and enter:<br><br>## try http:// if https:// URLs are not supported<br>source("https://bioconductor.org/biocLite.R")<br>biocLite("clusterProfiler")</p>
<p>https://www.bioconductor.org/packages/devel/bioc/vignettes/clusterProfiler/inst/doc/clusterProfiler.html</p><p>Address of the bookmark: <a href="https://www.bioconductor.org/packages/devel/bioc/vignettes/clusterProfiler/inst/doc/clusterProfiler.html" rel="nofollow">https://www.bioconductor.org/packages/devel/bioc/vignettes/clusterProfiler/inst/doc/clusterProfiler.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/27965/cheatsheet-for-linux</guid>
	<pubDate>Wed, 22 Jun 2016 07:55:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/27965/cheatsheet-for-linux</link>
	<title><![CDATA[Cheatsheet for Linux !!]]></title>
	<description><![CDATA[<p>Linux Commands Cheat Sheet<br /><br />&nbsp;&nbsp;&nbsp; File System<br /><br />&nbsp;&nbsp;&nbsp; ls &mdash; list items in current directory<br /><br />&nbsp;&nbsp;&nbsp; ls -l &mdash; list items in current directory and show in long format to see perimissions, size, an modification date<br /><br />&nbsp;&nbsp;&nbsp; ls -a &mdash; list all items in current directory, including hidden files<br /><br />&nbsp;&nbsp;&nbsp; ls -F &mdash; list all items in current directory and show directories with a slash and executables with a star<br /><br />&nbsp;&nbsp;&nbsp; ls dir &mdash; list all items in directory dir<br /><br />&nbsp;&nbsp;&nbsp; cd dir &mdash; change directory to dir<br /><br />&nbsp;&nbsp;&nbsp; cd .. &mdash; go up one directory<br /><br />&nbsp;&nbsp;&nbsp; cd / &mdash; go to the root directory<br /><br />&nbsp;&nbsp;&nbsp; cd ~ &mdash; go to to your home directory<br /><br />&nbsp;&nbsp;&nbsp; cd - &mdash; go to the last directory you were just in<br /><br />&nbsp;&nbsp;&nbsp; pwd &mdash; show present working directory<br /><br />&nbsp;&nbsp;&nbsp; mkdir dir &mdash; make directory dir<br /><br />&nbsp;&nbsp;&nbsp; rm file &mdash; remove file<br /><br />&nbsp;&nbsp;&nbsp; rm -r dir &mdash; remove directory dir recursively<br /><br />&nbsp;&nbsp;&nbsp; cp file1 file2 &mdash; copy file1 to file2<br /><br />&nbsp;&nbsp;&nbsp; cp -r dir1 dir2 &mdash; copy directory dir1 to dir2 recursively<br /><br />&nbsp;&nbsp;&nbsp; mv file1 file2 &mdash; move (rename) file1 to file2<br /><br />&nbsp;&nbsp;&nbsp; ln -s file link &mdash; create symbolic link to file<br /><br />&nbsp;&nbsp;&nbsp; touch file &mdash; create or update file<br /><br />&nbsp;&nbsp;&nbsp; cat file &mdash; output the contents of file<br /><br />&nbsp;&nbsp;&nbsp; less file &mdash; view file with page navigation<br /><br />&nbsp;&nbsp;&nbsp; head file &mdash; output the first 10 lines of file<br /><br />&nbsp;&nbsp;&nbsp; tail file &mdash; output the last 10 lines of file<br /><br />&nbsp;&nbsp;&nbsp; tail -f file &mdash; output the contents of file as it grows, starting with the last 10 lines<br /><br />&nbsp;&nbsp;&nbsp; vim file &mdash; edit file<br /><br />&nbsp;&nbsp;&nbsp; alias name 'command' &mdash; create an alias for a command<br />&nbsp;&nbsp;&nbsp; System<br /><br />&nbsp;&nbsp;&nbsp; shutdown &mdash; shut down machine<br /><br />&nbsp;&nbsp;&nbsp; reboot &mdash; restart machine<br /><br />&nbsp;&nbsp;&nbsp; date &mdash; show the current date and time<br /><br />&nbsp;&nbsp;&nbsp; whoami &mdash; who you are logged in as<br /><br />&nbsp;&nbsp;&nbsp; finger user &mdash; display information about user<br /><br />&nbsp;&nbsp;&nbsp; man command &mdash; show the manual for command<br /><br />&nbsp;&nbsp;&nbsp; df &mdash; show disk usage<br /><br />&nbsp;&nbsp;&nbsp; du &mdash; show directory space usage<br /><br />&nbsp;&nbsp;&nbsp; free &mdash; show memory and swap usage<br /><br />&nbsp;&nbsp;&nbsp; whereis app &mdash; show possible locations of app<br /><br />&nbsp;&nbsp;&nbsp; which app &mdash; show which app will be run by default<br />&nbsp;&nbsp;&nbsp; Process Management<br /><br />&nbsp;&nbsp;&nbsp; ps &mdash; display your currently active processes<br /><br />&nbsp;&nbsp;&nbsp; top &mdash; display all running processes<br /><br />&nbsp;&nbsp;&nbsp; kill pid &mdash; kill process id pid<br /><br />&nbsp;&nbsp;&nbsp; kill -9 pid &mdash; force kill process id pid<br />&nbsp;&nbsp;&nbsp; Permissions<br /><br />&nbsp;&nbsp;&nbsp; ls -l &mdash; list items in current directory and show permissions<br /><br />&nbsp;&nbsp;&nbsp; chmod ugo file &mdash; change permissions of file to ugo - u is the user's permissions, g is the group's permissions, and o is everyone else's permissions. The values of u, g, and o can be any number between 0 and 7.<br /><br />&nbsp;&nbsp;&nbsp; 7 &mdash; full permissions<br /><br />&nbsp;&nbsp;&nbsp; 6 &mdash; read and write only<br /><br />&nbsp;&nbsp;&nbsp; 5 &mdash; read and execute only<br /><br />&nbsp;&nbsp;&nbsp; 4 &mdash; read only<br /><br />&nbsp;&nbsp;&nbsp; 3 &mdash; write and execute only<br /><br />&nbsp;&nbsp;&nbsp; 2 &mdash; write only<br /><br />&nbsp;&nbsp;&nbsp; 1 &mdash; execute only<br /><br />&nbsp;&nbsp;&nbsp; 0 &mdash; no permissions<br /><br />&nbsp;&nbsp;&nbsp; chmod 600 file &mdash; you can read and write - good for files<br /><br />&nbsp;&nbsp;&nbsp; chmod 700 file &mdash; you can read, write, and execute - good for scripts<br /><br />&nbsp;&nbsp;&nbsp; chmod 644 file &mdash; you can read and write, and everyone else can only read - good for web pages<br /><br />&nbsp;&nbsp;&nbsp; chmod 755 file &mdash; you can read, write, and execute, and everyone else can read and execute - good for programs that you want to share<br />&nbsp;&nbsp;&nbsp; Networking<br /><br />&nbsp;&nbsp;&nbsp; wget file &mdash; download a file<br /><br />&nbsp;&nbsp;&nbsp; curl file &mdash; download a file<br /><br />&nbsp;&nbsp;&nbsp; scp user@host:file dir &mdash; secure copy a file from remote server to the dir directory on your machine<br /><br />&nbsp;&nbsp;&nbsp; scp file user@host:dir &mdash; secure copy a file from your machine to the dir directory on a remote server<br /><br />&nbsp;&nbsp;&nbsp; scp -r user@host:dir dir &mdash; secure copy the directory dir from remote server to the directory dir on your machine<br /><br />&nbsp;&nbsp;&nbsp; ssh user@host &mdash; connect to host as user<br /><br />&nbsp;&nbsp;&nbsp; ssh -p port user@host &mdash; connect to host on port as user<br /><br />&nbsp;&nbsp;&nbsp; ssh-copy-id user@host &mdash; add your key to host for user to enable a keyed or passwordless login<br /><br />&nbsp;&nbsp;&nbsp; ping host &mdash; ping host and output results<br /><br />&nbsp;&nbsp;&nbsp; whois domain &mdash; get information for domain<br /><br />&nbsp;&nbsp;&nbsp; dig domain &mdash; get DNS information for domain<br /><br />&nbsp;&nbsp;&nbsp; dig -x host &mdash; reverse lookup host<br /><br />&nbsp;&nbsp;&nbsp; lsof -i tcp:1337 &mdash; list all processes running on port 1337<br />&nbsp;&nbsp;&nbsp; Searching<br /><br />&nbsp;&nbsp;&nbsp; grep pattern files &mdash; search for pattern in files<br /><br />&nbsp;&nbsp;&nbsp; grep -r pattern dir &mdash; search recursively for pattern in dir<br /><br />&nbsp;&nbsp;&nbsp; grep -rn pattern dir &mdash; search recursively for pattern in dir and show the line number found<br /><br />&nbsp;&nbsp;&nbsp; grep -r pattern dir --include='*.ext &mdash; search recursively for pattern in dir and only search in files with .ext extension<br /><br />&nbsp;&nbsp;&nbsp; command | grep pattern &mdash; search for pattern in the output of command<br /><br />&nbsp;&nbsp;&nbsp; find file &mdash; find all instances of file in real system<br /><br />&nbsp;&nbsp;&nbsp; locate file &mdash; find all instances of file using indexed database built from the updatedb command. Much faster than find<br /><br />&nbsp;&nbsp;&nbsp; sed -i 's/day/night/g' file &mdash; find all occurrences of day in a file and replace them with night - s means substitude and g means global - sed also supports regular expressions<br />&nbsp;&nbsp;&nbsp; Compression<br /><br />&nbsp;&nbsp;&nbsp; tar cf file.tar files &mdash; create a tar named file.tar containing files<br /><br />&nbsp;&nbsp;&nbsp; tar xf file.tar &mdash; extract the files from file.tar<br /><br />&nbsp;&nbsp;&nbsp; tar czf file.tar.gz files &mdash; create a tar with Gzip compression<br /><br />&nbsp;&nbsp;&nbsp; tar xzf file.tar.gz &mdash; extract a tar using Gzip<br /><br />&nbsp;&nbsp;&nbsp; gzip file &mdash; compresses file and renames it to file.gz<br /><br />&nbsp;&nbsp;&nbsp; gzip -d file.gz &mdash; decompresses file.gz back to file<br />&nbsp;&nbsp;&nbsp; Shortcuts<br /><br />&nbsp;&nbsp;&nbsp; ctrl+a &mdash; move cursor to beginning of line<br /><br />&nbsp;&nbsp;&nbsp; ctrl+f &mdash; move cursor to end of line<br /><br />&nbsp;&nbsp;&nbsp; alt+f &mdash; move cursor forward 1 word<br /><br />&nbsp;&nbsp;&nbsp; alt+b &mdash; move cursor backward 1 word</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28200/machine-learning</guid>
	<pubDate>Fri, 01 Jul 2016 12:57:12 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28200/machine-learning</link>
	<title><![CDATA[Machine Learning !!!]]></title>
	<description><![CDATA[<p>In machine learning, computers apply&nbsp;<strong>statistical learning</strong>&nbsp;techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.</p>
<p><em>Keep scrolling.</em>&nbsp;Using a data set about homes, we will create a machine learning model to distinguish homes in New York from homes in San Francisco.</p><p>Address of the bookmark: <a href="http://www.r2d3.us/visual-intro-to-machine-learning-part-1/" rel="nofollow">http://www.r2d3.us/visual-intro-to-machine-learning-part-1/</a></p>]]></description>
	<dc:creator>Gudiya Pal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2726/comparison-of-short-read-de-novo-alignment-algorithms</guid>
	<pubDate>Wed, 21 Aug 2013 07:56:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2726/comparison-of-short-read-de-novo-alignment-algorithms</link>
	<title><![CDATA[Comparison of Short Read De Novo Alignment Algorithms]]></title>
	<description><![CDATA[<p>Excellent article to introduce different sequencing methods along with tools for de novo assembly of sequencing reads and their relevant references.</p>
<p>Title:&nbsp;<strong>Comparison of Short Read De Novo Alignment Algorithms&nbsp;</strong></p>
<p>Author<strong>: Nikhil Gopal</strong></p><p>Address of the bookmark: <a href="http://biochem218.stanford.edu/Projects%202011/Gopal%202011.pdf" rel="nofollow">http://biochem218.stanford.edu/Projects%202011/Gopal%202011.pdf</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/28449/aravind-j-shankar-gets-all-india-rank-1-in-binc-2016</guid>
	<pubDate>Tue, 19 Jul 2016 05:19:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/28449/aravind-j-shankar-gets-all-india-rank-1-in-binc-2016</link>
	<title><![CDATA[Aravind J Shankar gets all India rank 1 in BINC, 2016]]></title>
	<description><![CDATA[<p>Aravind J Shankar, a bioinformatics graduate of SASTRA University, has secured the all India rank 1 in the Bioinformatics National Certification (BINC) 2016, organised by the Department of Biotechnology, Government of India.</p><p>The BINC is a nationwide examination aimed at certifying professionals in bioinformatics and tests their theoretical and practical knowledge across three phases of examination. He is entitled to receive a DBT research fellowship leading to a Ph.D. from any premier research institute in India.</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34413/coursera-genome-assembly-tutorial</guid>
	<pubDate>Sat, 25 Nov 2017 08:57:25 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34413/coursera-genome-assembly-tutorial</link>
	<title><![CDATA[coursera genome assembly tutorial]]></title>
	<description><![CDATA[<p><span>Solutions to Coursera Genome Sequencing (Bioinformatics II)</span></p><p>Address of the bookmark: <a href="https://github.com/iansealy/coursera-assembly" rel="nofollow">https://github.com/iansealy/coursera-assembly</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/28563/find-predicted-crispr-sites-using-ensembl</guid>
	<pubDate>Wed, 27 Jul 2016 03:15:59 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/28563/find-predicted-crispr-sites-using-ensembl</link>
	<title><![CDATA[Find predicted CRISPR sites using Ensembl]]></title>
	<description><![CDATA[<p>Did you know that you can now use Ensembl to help design your CRISPR experiments? Just turn on the brand new track that shows you the CRISPR sites that have been predicted by the WGE group (<a href="http://www.sanger.ac.uk/science/tools/wge" target="_blank">http://www.sanger.ac.uk/science/tools/wge</a>)</p><p><img src="http://www.ensembl.info/wp-content/uploads/2016/07/Screen-Shot-2016-07-22-at-13.04.33.png" width="1400" height="544" alt="image" style="border: 0px;"></p><p>Find out more on our blog:<br /><a href="http://www.ensembl.info/blog/2016/07/26/find-predicted-crispr-sites-using-ensembl/" target="_blank">http://www.ensembl.info/&hellip;/find-predicted-crispr-sites-usin&hellip;/</a></p><p>&nbsp;</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28818/senior-manager-bioinformatics-operations-at-rgcb-india</guid>
  <pubDate>Wed, 17 Aug 2016 03:19:05 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Manager (Bioinformatics Operations) at RGCB, India]]></title>
  <description><![CDATA[
<p>No. RGCB/ADVT/ADMN&amp;TECH/01/2016</p>

<p>August 17, 2016</p>

<p>RGCB invites applications for the following positions from Indian citizens with prescribed qualifications. Full details including job description, additional desirable qualifications, etc. are described below.</p>

<p>Code No. 1</p>

<p>Senior Manager (Bioinformatics Operations)</p>

<p>(To download application format, click here )</p>

<p>Scale of Pay</p>

<p>PB-3 Rs.15600-39100 + Grade Pay Rs.6600/-</p>

<p>Number of Positions</p>

<p>1 (General)</p>

<p>Minimum Qualifications</p>

<p>PhD in Bioinformatics, Biotechnology, Life Sciences or Computer Science applied to biological questions.<br />A minimum of 5 years documented experience in national or state government R&amp;D centers or state and central universities.<br />Track record of research funding and peer reviewed publications.<br />Proficiency using statistical analysis software or libraries such as R or Matlab.<br />Experience with a general scripting language such as Python, Ruby, or Pearl<br />Experience working with Next Generation Sequencing data<br />Proficiency with data visualization tools (Spotfire, Tableau, R, Python, etc.)<br />Experience with an object-oriented language such as Java, C++ or C# and familiarity with standard software development best practices: source code control, unit testing, in-code documentation and automated build environments.<br />Excellent listening, time management, organizational and interpersonal skills<br />Excellent communication skills, including the ability to illustrate problems and generate solutions<br />Management skills – demonstrated through the successful management of a team or large projects.<br />Broad and deep knowledge of computational methods for high-throughput sequence analysis and interpretation.<br />Extensive experience in delivering bioinformatics as a service and conducting training programs.<br />Experience of working with a production, customer-focused environment and business development projects.<br />Experience with management of funding and financial sustainability.<br />Demonstrated ability to work in a team environment and ability to lead and motivate an effective team, and also work as a good team player.<br />Good problem solver, able to logically identify solutions to technical problems.<br />Able to see the bigger picture and contribute towards strategic direction of Platforms and Pipelines teams.<br />Responsibilities</p>

<p>This position will involve cross-functional teamwork to build and develop bioinformatics tools and provide analysis for ongoing clinical trials.<br />Collaborate with biomarker scientists, clinical investigators and pipeline teams to build analytical tools.<br />Implement and evaluate new algorithms for R&amp;D.<br />Support Research and Development teams by analyzing NGS data to identify predictive response markers<br />Lead training programs in Computational Biology and Bioinformatics.</p>

<p>More at http://rgcb.res.in/positions.php</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34931/3d-dna-3d-de-novo-assembly-3d-dna-pipeline</guid>
	<pubDate>Thu, 28 Dec 2017 10:09:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34931/3d-dna-3d-de-novo-assembly-3d-dna-pipeline</link>
	<title><![CDATA[3d-dna: 3D de novo assembly (3D DNA) pipeline]]></title>
	<description><![CDATA[<p>This code is designed to enable anyone to reproduce the Hs2-HiC and the AaegL4 genomes reported in:&nbsp;<a href="http://science.sciencemag.org/content/early/2017/03/22/science.aal3327.full">Dudchenko et al., De novo assembly of the Aedes aegypti genome using Hi-C yields chromosome-length scaffolds. Science, 2017.</a></p>
<p>Unless otherwise noted, all terminology below is consistent with this paper, and all references to figures and tables in this readme refer to this paper. Specifically, some of the terminology used below is outlined in&nbsp;<code>Figure S2</code>. The assembly procedure is described in detail in the&nbsp;<a href="http://science.sciencemag.org/content/suppl/2017/03/22/science.aal3327.DC1?_ga=1.9816115.760837492.1490574064">Supporting Online Materials</a>, specifically in the section labelled &ldquo;Pipeline description&rdquo;.</p>
<p>In addition, the pipeline uses tools and methods from&nbsp;<a href="http://www.cell.com/cell-systems/abstract/S2405-4712(16)30219-8">Juicer (Durand &amp; Shamim et al., Cell Systems, 2016)</a>&nbsp;and&nbsp;<a href="http://www.cell.com/cell-systems/abstract/S2405-4712(15)00054-X">Juicebox (Durand &amp; Robinson et al., Cell Systems, 2016)</a>, as well as additional dependencies noted below.</p>
<p>Feel free to post your questions and comments at:&nbsp;<a href="http://www.aidenlab.org/forum.html">http://www.aidenlab.org/forum.html</a></p>
<p>http://aidenlab.org/documentation.html</p><p>Address of the bookmark: <a href="https://github.com/theaidenlab/3d-dna" rel="nofollow">https://github.com/theaidenlab/3d-dna</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36456/alpaca-a-hybrid-strategy-for-assembly-of-genomic-dna-shotgun-sequencing-reads</guid>
	<pubDate>Mon, 30 Apr 2018 04:38:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36456/alpaca-a-hybrid-strategy-for-assembly-of-genomic-dna-shotgun-sequencing-reads</link>
	<title><![CDATA[ALPACA: A hybrid strategy for assembly of genomic DNA shotgun sequencing reads.]]></title>
	<description><![CDATA[<p><span>ALPACA requires Celera Assembler 8.3 or later. It is recommended to build Celera Assembler from source. (Why? The pre-built binaries CA_8.3rc1 and CA8.3rc2 will work for any large data set.&nbsp;</span></p>
<p><span>Detail paper at&nbsp;https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-017-3927-8</span></p><p>Address of the bookmark: <a href="https://github.com/VicugnaPacos/ALPACA" rel="nofollow">https://github.com/VicugnaPacos/ALPACA</a></p>]]></description>
	<dc:creator>Seema Singh</dc:creator>
</item>

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