<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31566?offset=520</link>
	<atom:link href="https://bioinformaticsonline.com/related/31566?offset=520" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44476/omark-software-for-proteome-protein-coding-gene-repertoire-quality-assessment</guid>
	<pubDate>Wed, 21 Feb 2024 15:01:20 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44476/omark-software-for-proteome-protein-coding-gene-repertoire-quality-assessment</link>
	<title><![CDATA[OMArk: software for proteome (protein-coding gene repertoire) quality assessment]]></title>
	<description><![CDATA[<p><span>OMArk is a software for proteome (protein-coding gene repertoire) quality assessment. It provides measures of proteome completeness, characterizes the consistency of all protein coding genes with regard to their homologs, and identifies the presence of contamination from other species. OMArk relies on the OMA orthology database, from which it exploits orthology relationships, and on the OMAmer software for fast placement of all proteins into gene families.</span></p><p>Address of the bookmark: <a href="https://github.com/DessimozLab/OMArk" rel="nofollow">https://github.com/DessimozLab/OMArk</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34940/jpred4-a-protein-secondary-structure-prediction-server</guid>
	<pubDate>Fri, 29 Dec 2017 16:14:28 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34940/jpred4-a-protein-secondary-structure-prediction-server</link>
	<title><![CDATA[JPred4: A Protein Secondary Structure Prediction Server]]></title>
	<description><![CDATA[<p><span>JPred4 (</span><a href="http://www.compbio.dundee.ac.uk/jpred4" target="">http://www.compbio.dundee.ac.uk/jpred4</a><span>) is the latest version of the popular JPred protein secondary structure prediction server which provides predictions by the JNet algorithm, one of the most accurate methods for secondary structure prediction.</span></p><p>Address of the bookmark: <a href="http://www.compbio.dundee.ac.uk/jpred4/" rel="nofollow">http://www.compbio.dundee.ac.uk/jpred4/</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39187/distruct-a-program-for-the-graphical-display-of-population-structure</guid>
	<pubDate>Mon, 25 Mar 2019 03:33:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39187/distruct-a-program-for-the-graphical-display-of-population-structure</link>
	<title><![CDATA[DISTRUCT: a program for the graphical display of population structure]]></title>
	<description><![CDATA[<p><em>distruct</em><span>&nbsp;is a program that can be used to graphically display results produced by the genetic clustering program&nbsp;</span><em><a href="http://pritch.bsd.uchicago.edu/">structure</a></em><span>&nbsp;or by other similar programs. The figures produced by&nbsp;</span><em>distruct</em><span>display individual membership coefficients in the same form as used in&nbsp;</span><a href="https://rosenberglab.stanford.edu/papers/popstruct.pdf">"Genetic structure of human populations"&nbsp;<em>Science</em>&nbsp;298: 2381-2385 (2002)</a><span>. Various options enable the user to control left-to-right printing order of populations, bottom-to-top printing order of clusers, colors, and other graphical details. [</span><a href="https://rosenberglab.stanford.edu/distructExample.html">Example</a><span>]</span></p>
<p>[<a href="https://rosenberglab.stanford.edu/distructForms/distructRegistration.html">Download software package (includes the manual)</a>] (you will be directed first to a registration page and we would very much appreciate if you register)&nbsp;<br>[<a href="https://rosenberglab.stanford.edu/software/distructManual.pdf">Download manual</a>]&nbsp;<br>[<a href="https://rosenberglab.stanford.edu/papers/distructNote.pdf">Download software note from&nbsp;<em>Molecular Ecology Notes</em>&nbsp;4: 137-138 (2004)</a>]</p>
<p>To use the UNIX versions, unzip and untar the files in an appropriate directory using</p>
<pre>gunzip filename.tar.gz; tar xvf filename.tar</pre>
<p><span>where "filename.tar.gz" is the downloaded file. Winzip will unzip the Windows version. Run the program by typing</span></p>
<pre>./distruct</pre>
<p><span>in UNIX or</span></p>
<pre>distruct</pre>
<p><span>from a Dos prompt in Windows. It will produce a figure using the data that are represented in the Central/South Asia&nbsp;</span><em>K=5</em><span>&nbsp;plot in&nbsp;</span><em>Science</em><span>&nbsp;298: 2381-2385 (2002).</span></p>
<p>Please send comments or problems with&nbsp;<em>distruct</em>&nbsp;to Noah Rosenberg.</p>
<h4><em>October 15, 2014 &mdash; Users of Distruct may also find&nbsp;<a href="https://rosenberglab.stanford.edu/clumpp.html">CLUMPP</a>&nbsp;and&nbsp;<a href="http://clumpak.tau.ac.il/">CLUMPAK</a>&nbsp;of interest.</em></h4><p>Address of the bookmark: <a href="https://rosenberglab.stanford.edu/distruct.html" rel="nofollow">https://rosenberglab.stanford.edu/distruct.html</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27961/nearhgt</guid>
	<pubDate>Wed, 22 Jun 2016 05:41:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27961/nearhgt</link>
	<title><![CDATA[NearHGT]]></title>
	<description><![CDATA[<p>Horizontal gene transfer (HGT), the transfer of genetic material between organisms, is crucial for genetic innovation and the evolution of genome architecture. Existing HGT detection algorithms rely on a strong phylogenetic signal distinguishing the transferred sequence from ancestral (vertically derived) genes in its recipient genome. Detecting HGT between closely related species or strains is challenging, as the phylogenetic signal is usually weak and the nucleotide composition is normally nearly identical. Nevertheless, there is a great importance in detecting HGT between congeneric species or strains, especially in clinical microbiology, where understanding the emergence of new virulent and drug-resistant strains is crucial, and often time-sensitive.</p>
<p>We developed a novel, self-contained technique named&nbsp;<em>Near HGT</em>, based on the&nbsp;<em>synteny index</em>, to measure the divergence of a gene from its native genomic environment and used it to identify candidate HGT events between closely related strains. The method confirms candidate transferred genes based on the&nbsp;<em>constant relative mutability</em>&nbsp;(CRM). Using CRM, the algorithm assigns a confidence score based on &ldquo;unusual&rdquo; sequence divergence. A gene exhibiting exceptional deviations according to both synteny and mutability criteria, is considered a validated HGT product. We first employed the technique to a set of three&nbsp;<em>E. coli</em>&nbsp;strains and detected several highly probable horizontally acquired genes. We then compared the method to existing HGT detection tools using a larger strain data set.</p>
<p>When combined with additional approaches our new algorithm provides richer picture and brings us closer to the goal of detecting all newly acquired genes in a particular strain.</p>
<p><strong>Availability:</strong><span>&nbsp;The method is publicly available at</span><a href="http://research.haifa.ac.il/~ssagi/software/nearHGT.zip">http://research.haifa.ac.il/~ssagi/software/nearHGT.zip</a></p><p>Address of the bookmark: <a href="http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004408" rel="nofollow">http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004408</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43904/jasmine-jointly-accurate-sv-merging-with-intersample-network-edges</guid>
	<pubDate>Sat, 02 Jul 2022 11:41:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43904/jasmine-jointly-accurate-sv-merging-with-intersample-network-edges</link>
	<title><![CDATA[JASMINE: Jointly Accurate Sv Merging with Intersample Network Edges]]></title>
	<description><![CDATA[<p><span>This tool is used to merge structural variants (SVs) across samples. Each sample has a number of SV calls, consisting of position information (chromosome, start, end, length), type and strand information, and a number of other values. Jasmine represents the set of all SVs across samples as a network, and uses a modified minimum spanning forest algorithm to determine the best way of merging the variants such that each merged variants represents a set of analogous variants occurring in different samples.</span></p><p>Address of the bookmark: <a href="https://github.com/mkirsche/Jasmine" rel="nofollow">https://github.com/mkirsche/Jasmine</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/35802/bioinformatics-tools-to-detect-horizontal-gene-transfer-hgt-in-genomes</guid>
	<pubDate>Fri, 02 Mar 2018 04:56:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/35802/bioinformatics-tools-to-detect-horizontal-gene-transfer-hgt-in-genomes</link>
	<title><![CDATA[Bioinformatics tools to detect horizontal gene transfer (HGT) in genomes]]></title>
	<description><![CDATA[<p>Horizontal gene transfer (HGT), the &ldquo;non-sexual movement of genetic material between two organisms&rdquo; , is relatively common in prokaryotes&nbsp;and single-celled eukaryotes, but a number of factors combine to make it far rarer in multicellular eukaryotes. In order for a eukaryotic species to gain a gene by HGT, foreign DNA must enter the host nucleus, integrate into the genome, and in more complex organisms it must enter the sequestered germline in order to be transmitted to offspring. Once there, it must not experience strong negative selection, despite potential for genetic incompatibility with the host genome and mismatch between the niche of the donor and the host. Over the longer term, foreign DNA may become &ldquo;domesticated&rdquo; in the recipient genome and provide novel function.</p><p>Following are the popular tool to detect HGT in genomes:</p><p><a href="http://www.trex.uqam.ca/index.php?action=hgt&amp;project=trex">T-REX</a>&nbsp;/&nbsp;<a href="http://www.trex.uqam.ca/download/hgt-detection_3.22.zip">3.22</a></p><p>HGT detection /&nbsp;download &amp; compile</p><p><a href="https://www.ncbi.nlm.nih.gov/pubmed/20525630">20525630</a></p><p>&nbsp;</p><p><a href="http://compbio.engr.uconn.edu/software/RANGER-DTL/">RANGER-DTL</a>&nbsp;/&nbsp;<a href="http://compbio.engr.uconn.edu/software/RANGER-DTL/Linux.zip">2.0</a></p><p>HGT detection /&nbsp;download binary</p><p><a href="https://www.ncbi.nlm.nih.gov/pubmed/22689773">22689773</a></p><p>&nbsp;</p><p><a href="https://bioinfocs.rice.edu/phylonet">PhyloNet</a>&nbsp;/&nbsp;<a href="https://bioinfocs.rice.edu/sites/g/files/bxs266/f/kcfinder/files/PhyloNet_3.6.1.jar">3.6.1</a></p><p>HGT detection /&nbsp;download binary</p><p><a href="https://www.ncbi.nlm.nih.gov/pubmed/18662388">18662388</a></p><p>&nbsp;</p><p><a href="https://www.cs.hmc.edu/~hadas/jane/index.html">Jane</a>&nbsp;/&nbsp;<a href="https://www.cs.hmc.edu/~hadas/jane/form.html">4.01</a></p><p>HGT detection /&nbsp;download binary (!license!)</p><p><a href="https://www.ncbi.nlm.nih.gov/pubmed/20181081">20181081</a></p><p>&nbsp;</p><p><a href="http://www.tree-puzzle.de/">TREE-PUZZLE</a>&nbsp;/&nbsp;<a href="http://www.tree-puzzle.de/tree-puzzle-5.3.rc16-linux.tar.gz">5.3.rc16</a></p><p>HGT detection /&nbsp;download &amp; compile</p><p><a href="https://www.ncbi.nlm.nih.gov/pubmed/11934758">11934758</a></p><p>&nbsp;</p><p><a href="http://www.sigmath.es.osaka-u.ac.jp/shimo-lab/prog/consel/">CONSEL</a>&nbsp;/&nbsp;<a href="http://www.sigmath.es.osaka-u.ac.jp/shimo-lab/prog/consel/pub/cnsls020.tgz">0.20</a></p><p>HGT detection /&nbsp;download</p><p><a href="https://www.ncbi.nlm.nih.gov/pubmed/11751242">11751242</a></p><p>&nbsp;</p><p><a href="http://darkhorse.ucsd.edu/">DarkHorse</a>&nbsp;/&nbsp;<a href="http://darkhorse.ucsd.edu/DarkHorse-1.5_rev170.tar.gz">1.5 rev170</a></p><p>HGT detection /&nbsp;download &amp; install</p><p><a href="https://www.ncbi.nlm.nih.gov/pubmed/17274820">17274820</a></p><p>&nbsp;</p><p><a href="https://github.com/DittmarLab/HGTector">HGTector</a>&nbsp;/&nbsp;<a href="https://github.com/DittmarLab/HGTector/archive/wgshgt.zip">0.2.1</a></p><p>HGT detection /&nbsp;git clone</p><p><a href="https://www.ncbi.nlm.nih.gov/pubmed/25159222">25159222</a></p><p>&nbsp;</p><p><a href="http://www5.esu.edu/cpsc/bioinfo/software/EGID/">EGID</a>&nbsp;/&nbsp;<a href="http://www5.esu.edu/cpsc/bioinfo/software/EGID/EGID_1.0.tar.gz">1.0</a></p><p>HGT detection /&nbsp;download</p><p><a href="https://www.ncbi.nlm.nih.gov/pubmed/22355228">22355228</a></p><p>&nbsp;</p><p><a href="http://exon.gatech.edu/GeneMark/">GeneMarkS</a>&nbsp;/&nbsp;<a href="http://exon.gatech.edu/GeneMark/license_download.cgi">4.30</a></p><p>HGT detection / download binary (!license!)</p><p><a href="https://www.ncbi.nlm.nih.gov/pubmed/9461475">9461475</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/36497/installing-python-numpy</guid>
	<pubDate>Mon, 07 May 2018 04:31:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/36497/installing-python-numpy</link>
	<title><![CDATA[Installing  python-numpy !]]></title>
	<description><![CDATA[<p>$ sudo apt-get install python-numpy python-scipy python-matplotlib ipython ipython-notebook python-pandas python-sympy python-nose<br />[sudo] password for urbe: <br />Reading package lists... Done<br />Building dependency tree <br />Reading state information... Done<br />The following packages were automatically installed and are no longer required:<br /> bridge-utils containerd linux-headers-4.4.0-116 linux-headers-4.4.0-116-generic linux-headers-4.4.0-21 linux-headers-4.4.0-21-generic<br /> linux-image-4.4.0-116-generic linux-image-4.4.0-21-generic linux-image-extra-4.4.0-116-generic linux-image-extra-4.4.0-21-generic<br /> linux-signed-image-4.4.0-116-generic runc ubuntu-fan<br />Use 'sudo apt autoremove' to remove them.<br />The following additional packages will be installed:<br /> blt fonts-lyx fonts-mathjax ipython-notebook-common isympy libaec0 libamd2.4.1 libdsdp-5.8gf libglpk36 libgsl2 libhdf5-10 libjs-highlight<br /> libjs-highlight.js libjs-jquery-ui libjs-marked libjs-mathjax libjs-underscore libsz2 python-antlr python-bs4 python-chardet python-cvxopt<br /> python-cycler python-dateutil python-decorator python-glade2 python-gmpy python-html5lib python-imaging python-jdcal python-jinja2 python-joblib<br /> python-lxml python-markupsafe python-matplotlib-data python-mpmath python-numexpr python-openpyxl python-pandas-lib python-patsy python-pexpect<br /> python-pil python-ptyprocess python-py python-pycurl python-pyglet python-pymysql python-pyparsing python-pytest python-simplegeneric<br /> python-simplejson python-statsmodels python-statsmodels-lib python-sympy-doc python-tables python-tables-data python-tables-lib python-tk<br /> python-tornado python-tz python-xlrd python-xlwt python-zmq tk8.6-blt2.5 ttf-bitstream-vera<br />Suggested packages:<br /> blt-demo ipython-doc ipython-qtconsole python-pygments nodejs pandoc libiodbc2-dev libmysqlclient-dev gsl-ref-psdoc | gsl-doc-pdf | gsl-doc-info<br /> | gsl-ref-html libjs-jquery-ui-docs fonts-mathjax-extras libjs-mathjax-doc python-gtk2-doc python-genshi python-jinja2-doc python-lxml-dbg<br /> python-lxml-doc ffmpeg inkscape python-cairocffi python-configobj python-excelerator python-matplotlib-doc python-qt4 python-sip python-traits<br /> python-wxgtk3.0 ttf-staypuft python-gmpy2 python-mpmath-doc python-coverage python-nose-doc python-numpy-dbg python-numpy-doc python-pandas-doc<br /> python-patsy-doc python-pexpect-doc python-pil-doc python-pil-dbg subversion python-pytest-xdist libcurl4-gnutls-dev python-pycurl-dbg<br /> python-pycurl-doc python-pymysql-doc python-mock python-scipy-doc python-statsmodels-doc python-tables-doc python-netcdf vitables tix<br /> python-tk-dbg<br />The following NEW packages will be installed:<br /> blt fonts-lyx fonts-mathjax ipython ipython-notebook ipython-notebook-common isympy libaec0 libamd2.4.1 libdsdp-5.8gf libglpk36 libgsl2<br /> libhdf5-10 libjs-highlight libjs-highlight.js libjs-jquery-ui libjs-marked libjs-mathjax libjs-underscore libsz2 python-antlr python-bs4<br /> python-chardet python-cvxopt python-cycler python-dateutil python-decorator python-glade2 python-gmpy python-html5lib python-imaging<br /> python-jdcal python-jinja2 python-joblib python-lxml python-markupsafe python-matplotlib python-matplotlib-data python-mpmath python-nose<br /> python-numexpr python-numpy python-openpyxl python-pandas python-pandas-lib python-patsy python-pexpect python-pil python-ptyprocess python-py<br /> python-pycurl python-pyglet python-pymysql python-pyparsing python-pytest python-scipy python-simplegeneric python-simplejson python-statsmodels<br /> python-statsmodels-lib python-sympy python-sympy-doc python-tables python-tables-data python-tables-lib python-tk python-tornado python-tz<br /> python-xlrd python-xlwt python-zmq tk8.6-blt2.5 ttf-bitstream-vera<br />0 upgraded, 73 newly installed, 0 to remove and 35 not upgraded.<br />Need to get 49,5 MB of archives.<br />After this operation, 271 MB of additional disk space will be used.<br />Do you want to continue? [Y/n] Y<br />Get:1 http://be.archive.ubuntu.com/ubuntu xenial-updates/main amd64 python-pymysql all 0.7.2-1ubuntu1 [56,4 kB]<br />Get:2 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 tk8.6-blt2.5 amd64 2.5.3+dfsg-3 [574 kB]<br />Get:3 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 blt amd64 2.5.3+dfsg-3 [4.852 B]<br />Get:4 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 fonts-lyx all 2.1.4-2 [161 kB]<br />Get:5 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 fonts-mathjax all 2.6.1-1 [960 kB]<br />Get:6 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 python-decorator all 4.0.6-1 [9.326 B]<br />Get:7 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-ptyprocess all 0.5-1 [12,9 kB]<br />Get:8 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-pexpect all 4.0.1-1 [40,5 kB]<br />Get:9 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 python-simplegeneric all 0.8.1-1 [11,5 kB]<br />Get:10 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http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 ttf-bitstream-vera all 1.10-8 [352 kB]<br />Get:47 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-matplotlib-data all 1.5.1-1ubuntu1 [2.414 kB]<br />Get:48 http://be.archive.ubuntu.com/ubuntu xenial-updates/main amd64 python-pyparsing all 2.0.3+dfsg1-1ubuntu0.1 [35,4 kB]<br />Get:49 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 python-tz all 2014.10~dfsg1-0ubuntu2 [31,5 kB]<br />Get:50 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 python-numpy amd64 1:1.11.0-1ubuntu1 [1.763 kB]<br />Get:51 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-matplotlib amd64 1.5.1-1ubuntu1 [3.888 kB]<br />Get:52 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-mpmath all 0.19-3 [387 kB]<br />Get:53 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-nose all 1.3.7-1 [116 kB]<br />Get:54 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-numexpr amd64 2.4.3-1ubuntu1 [129 kB]<br />Get:55 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-openpyxl all 2.3.0-1 [193 kB]<br />Get:56 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-pandas-lib amd64 0.17.1-3ubuntu2 [1.538 kB]<br />Get:57 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-pandas all 0.17.1-3ubuntu2 [2.386 kB]<br />Get:58 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-patsy all 0.4.1-2 [169 kB]<br />Get:59 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-py all 1.4.31-1 [62,5 kB]<br />Get:60 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-pyglet all 1.1.4.dfsg-3 [726 kB]<br />Get:61 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-pytest all 2.8.7-4 [119 kB]<br />Get:62 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 python-simplejson amd64 3.8.1-1ubuntu2 [60,4 kB]<br />Get:63 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-sympy all 0.7.6.1-1 [2.252 kB]<br />Get:64 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-sympy-doc all 0.7.6.1-1 [4.774 kB]<br />Get:65 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-tables-lib amd64 3.2.2-2 [353 kB]<br />Get:66 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-tables-data all 3.2.2-2 [45,3 kB]<br />Get:67 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-tables all 3.2.2-2 [335 kB]<br />Get:68 http://be.archive.ubuntu.com/ubuntu xenial-updates/main amd64 python-tk amd64 2.7.12-1~16.04 [26,3 kB]<br />Get:69 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-xlrd all 0.9.4-1 [107 kB]<br />Get:70 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-xlwt all 0.7.5+debian1-1 [83,5 kB]<br />Get:71 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-scipy amd64 0.17.0-1 [8.733 kB]<br />Get:72 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-statsmodels-lib amd64 0.6.1-4 [173 kB]<br />Get:73 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-statsmodels all 0.6.1-4 [2.581 kB]<br />Fetched 49,5 MB in 0s (52,8 MB/s) <br />Extracting templates from packages: 100%<br />Selecting previously unselected package python-pymysql.<br />(Reading database ... 435155 files and directories currently installed.)<br />Preparing to unpack .../python-pymysql_0.7.2-1ubuntu1_all.deb ...<br />Unpacking python-pymysql (0.7.2-1ubuntu1) ...<br />Selecting previously unselected package tk8.6-blt2.5.<br />Preparing to unpack .../tk8.6-blt2.5_2.5.3+dfsg-3_amd64.deb ...<br />Unpacking tk8.6-blt2.5 (2.5.3+dfsg-3) ...<br />Selecting previously unselected package blt.<br />Preparing to unpack .../blt_2.5.3+dfsg-3_amd64.deb ...<br />Unpacking blt (2.5.3+dfsg-3) ...<br />Selecting previously unselected package fonts-lyx.<br />Preparing to unpack .../fonts-lyx_2.1.4-2_all.deb ...<br />Unpacking fonts-lyx (2.1.4-2) ...<br />Selecting previously unselected package 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python-decorator (4.0.6-1) ...<br />Setting up python-ptyprocess (0.5-1) ...<br />Setting up python-pexpect (4.0.1-1) ...<br />Setting up python-simplegeneric (0.8.1-1) ...<br />Setting up ipython (2.4.1-1) ...<br />Setting up libjs-highlight.js (8.2+ds-4build1) ...<br />Setting up libjs-highlight (8.2+ds-4build1) ...<br />Setting up libjs-jquery-ui (1.10.1+dfsg-1) ...<br />Setting up libjs-marked (0.3.2+dfsg-1) ...<br />Setting up libjs-mathjax (2.6.1-1) ...<br />Setting up libjs-underscore (1.7.0~dfsg-1ubuntu1) ...<br />Setting up ipython-notebook-common (2.4.1-1) ...<br />Setting up python-markupsafe (0.23-2build2) ...<br />Setting up python-jinja2 (2.8-1) ...<br />Setting up python-pycurl (7.43.0-1ubuntu1) ...<br />Setting up python-tornado (4.2.1-1ubuntu3) ...<br />Setting up python-zmq (15.2.0-0ubuntu4) ...<br />Setting up ipython-notebook (2.4.1-1) ...<br />Setting up isympy (0.7.6.1-1) ...<br />Setting up libaec0:amd64 (0.3.2-1) ...<br />Setting up libamd2.4.1:amd64 (1:4.4.6-1) ...<br />Setting up libglpk36:amd64 (4.57-1build3) ...<br />Setting up libgsl2:amd64 (2.1+dfsg-2) ...<br />Setting up libsz2:amd64 (0.3.2-1) ...<br />Setting up libhdf5-10:amd64 (1.8.16+docs-4ubuntu1) ...<br />Setting up python-antlr (2.7.7+dfsg-6ubuntu1) ...<br />Setting up python-bs4 (4.4.1-1) ...<br />Setting up python-chardet (2.3.0-2) ...<br />Setting up libdsdp-5.8gf (5.8-9.1ubuntu2) ...<br />Setting up python-cvxopt (1.1.4-1.4) ...<br />Setting up python-cycler (0.9.0-1) ...<br />Setting up python-dateutil (2.4.2-1) ...<br />Setting up python-glade2 (2.24.0-4ubuntu1) ...<br />Setting up python-gmpy (1.17-1) ...<br />Setting up python-html5lib (0.999-4) ...<br />Setting up python-pil:amd64 (3.1.2-0ubuntu1.1) ...<br />Setting up python-imaging (3.1.2-0ubuntu1.1) ...<br />Setting up python-jdcal (1.0-1build1) ...<br />Setting up python-joblib (0.9.4-1) ...<br />Setting up python-lxml (3.5.0-1build1) ...<br />Setting up ttf-bitstream-vera (1.10-8) ...<br />Setting up python-matplotlib-data (1.5.1-1ubuntu1) ...<br />Setting up python-pyparsing (2.0.3+dfsg1-1ubuntu0.1) ...<br />Setting up python-tz (2014.10~dfsg1-0ubuntu2) ...<br />Setting up python-numpy (1:1.11.0-1ubuntu1) ...<br />Setting up python-matplotlib (1.5.1-1ubuntu1) ...<br />Setting up python-mpmath (0.19-3) ...<br />Setting up python-nose (1.3.7-1) ...<br />Setting up python-numexpr (2.4.3-1ubuntu1) ...<br />Setting up python-openpyxl (2.3.0-1) ...<br />Setting up python-pandas-lib (0.17.1-3ubuntu2) ...<br />Setting up python-pandas (0.17.1-3ubuntu2) ...<br />Setting up python-patsy (0.4.1-2) ...<br />Setting up python-py (1.4.31-1) ...<br />Setting up python-pyglet (1.1.4.dfsg-3) ...<br />Setting up python-pytest (2.8.7-4) ...<br />Setting up python-simplejson (3.8.1-1ubuntu2) ...<br />Setting up python-sympy (0.7.6.1-1) ...<br />Setting up python-sympy-doc (0.7.6.1-1) ...<br />Setting up python-tables-lib (3.2.2-2) ...<br />Setting up python-tables-data (3.2.2-2) ...<br />Setting up python-tables (3.2.2-2) ...<br />Setting up python-tk (2.7.12-1~16.04) ...<br />Setting up python-xlrd (0.9.4-1) ...<br />Setting up python-xlwt (0.7.5+debian1-1) ...<br />Setting up python-scipy (0.17.0-1) ...<br />Setting up python-statsmodels-lib (0.6.1-4) ...<br />Setting up python-statsmodels (0.6.1-4) ...<br />Processing triggers for libc-bin (2.23-0ubuntu10) ...<br />➜ redundans git:(master) ✗ python2 redundans.py -v -i test/*_?.fq.gz -f test/contigs.fa -o test/run1<br />Options: Namespace(fasta='test/contigs.fa', fastq=['test/5000_1.fq.gz', 'test/5000_2.fq.gz', 'test/600_1.fq.gz', 'test/600_2.fq.gz'], identity=0.51, iters=2, joins=5, limit=0.2, linkratio=0.7, log=', mode 'w' at 0x7f85d1de31e0&gt;, longreads=[], mapq=10, mem=16, minLength=200, nocleaning=True, nogapclosing=True, norearrangements=False, noreduction=True, noscaffolding=True, outdir='test/run1', overlap=0.8, reference='', resume=False, threads=4, tmp='/tmp', usebwa=False, verbose=True)</p><p>##################################################<br />[Mon May 7 11:29:18 2018] Reduction...<br />#file name genome size contigs heterozygous size [%] heterozygous contigs [%] identity [%] possible joins homozygous size [%] homozygous contigs [%]<br />/usr/lib/python2.7/dist-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.<br /> warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')<br />test/run1/contigs.fa 163897 245 66377 40.50 221 90.20 94.854 0 97520 59.50 24 9.80</p><p>##################################################<br />[Mon May 7 11:29:29 2018] Estimating parameters of libraries...<br /> Aligning 19504 mates per library...<br />Insert size statistics Mates orientation stats<br />FastQ files read length median mean stdev FF FR RF RR<br />test/5000_1.fq.gz test/5000_2.fq.gz 50 4998 4990.20 721.47 0 4674 0 0<br />test/600_1.fq.gz test/600_2.fq.gz 100 599 598.63 47.68 0 10000 0 0</p><p>##################################################<br />[Mon May 7 11:29:29 2018] Scaffolding...<br /> iteration 1.1: test/run1/contigs.reduced.fa 24 97520 39.355 17 94157 7321 2195 0 29603<br /> 19505 pairs. 17302 passed filtering [88.71%]. 1627 in different contigs [8.34%].<br /> 1526 pairs. 558 in different contigs [36.57%].<br /> iteration 1.2: test/run1/_sspace.1.1.fa 3 97626 39.344 3 97626 87536 6063 821 87536<br /> 19505 pairs. 17607 passed filtering [90.27%]. 182 in different contigs [0.93%].<br /> 1077 pairs. 124 in different contigs [11.51%].<br /> iteration 2.1: test/run1/_sspace.1.2.fa 3 97626 39.344 3 97626 87536 6063 821 87536<br /> 19505 pairs. 15112 passed filtering [77.48%]. 1295 in different contigs [6.64%].<br /> 3417 pairs. 396 in different contigs [11.59%].<br /> iteration 2.2: test/run1/_sspace.2.1.fa 1 99133 39.344 1 99133 99133 99133 2328 99133<br /> 19505 pairs. 15152 passed filtering [77.68%]. 0 in different contigs [0.00%].<br /> 3398 pairs. 0 in different contigs [0.00%].</p><p>##################################################<br />[Mon May 7 11:29:34 2018] Gap closing...<br /> iteration 1.1: test/run1/scaffolds.fa 1 99133 39.344 1 99133 99133 99133 2328 99133</p><p>##################################################<br />[Mon May 7 11:29:35 2018] Final reduction...<br />#file name genome size contigs heterozygous size [%] heterozygous contigs [%] identity [%] possible joins homozygous size [%] homozygous contigs [%]<br />[WARNING] Nothing reduced!<br />test/run1/scaffolds.filled.fa 99390 1 0 0.00 0 0.00 0.000 0 99390 100.00 1 100.00</p><p>##################################################<br />[Mon May 7 11:29:35 2018] Reporting statistics...<br />#fname contigs bases GC [%] contigs &gt;1kb bases in contigs &gt;1kb N50 N90 Ns longest<br />test/contigs.fa 245 163897 40.298 24 117391 3975 233 0 29603<br />test/run1/contigs.fa 245 163897 40.298 24 117391 3975 233 0 29603<br />test/run1/contigs.reduced.fa 24 97520 39.355 17 94157 7321 2195 0 29603<br />test/run1/_sspace.1.1.fa 3 97626 39.344 3 97626 87536 6063 821 87536<br />test/run1/_sspace.1.2.fa 3 97626 39.344 3 97626 87536 6063 821 87536<br />test/run1/_sspace.2.1.fa 1 99133 39.344 1 99133 99133 99133 2328 99133<br />test/run1/_sspace.2.2.fa 1 99133 39.344 1 99133 99133 99133 2328 99133<br />test/run1/scaffolds.fa 1 99133 39.344 1 99133 99133 99133 2328 99133<br />test/run1/_gapcloser.1.1.fa 1 99390 39.689 1 99390 99390 99390 2 99390<br />test/run1/scaffolds.filled.fa 1 99390 39.689 1 99390 99390 99390 2 99390<br />test/run1/scaffolds.reduced.fa 1 99390 39.689 1 99390 99390 99390 2 99390</p><p>##################################################<br />[Mon May 7 11:29:35 2018] Cleaning-up...<br />#Time elapsed: 0:00:17.376924</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38004/vcfr-a-package-to-manipulate-and-visualize-vcf-data-in-r</guid>
	<pubDate>Thu, 25 Oct 2018 09:05:59 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38004/vcfr-a-package-to-manipulate-and-visualize-vcf-data-in-r</link>
	<title><![CDATA[vcfR:  a package to manipulate and visualize VCF data in R]]></title>
	<description><![CDATA[<p><span>VcfR is an R package intended to allow easy manipulation and visualization of variant call format (VCF) data. Functions are provided to rapidly read from and write to VCF files. Once VCF data is read into R a parser function extracts matrices from the VCF data for use with typical R functions. This information can then be used for quality control or other purposes. Additional functions provide visualization of genomic data. Once processing is complete data may be written to a VCF file or converted into other popular R objects (e.g., genlight, DNAbin). VcfR provides a link between VCF data and the R environment connecting familiar software with genomic data.</span></p><p>Address of the bookmark: <a href="https://github.com/knausb/vcfR" rel="nofollow">https://github.com/knausb/vcfR</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43999/tools-for-differential-expression-analysis</guid>
	<pubDate>Tue, 08 Nov 2022 03:40:33 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43999/tools-for-differential-expression-analysis</link>
	<title><![CDATA[Tools for Differential expression analysis]]></title>
	<description><![CDATA[<p><span>apeglm</span>&nbsp;-&nbsp;<a href="https://bioconductor.org/packages/release/bioc/html/apeglm.html" target="_blank">https://bioconductor.org/packages/release/bioc/html/apeglm.html</a></p><p><span>ashr</span>&nbsp;-&nbsp;<a href="https://github.com/stephens999/ashr" target="_blank">https://github.com/stephens999/ashr</a>,&nbsp;<a href="https://cran.r-project.org/web/packages/ashr/index.html" target="_blank">https://cran.r-project.org/web/packages/ashr/index.html</a></p><p><span>consensusDE</span>&nbsp;-&nbsp;<a href="https://bioconductor.org/packages/release/bioc/html/consensusDE.html" target="_blank">https://bioconductor.org/packages/release/bioc/html/consensusDE.html</a></p><p><span>DESeq2</span>&nbsp;-&nbsp;<a href="https://bioconductor.org/packages/release/bioc/html/DESeq2.html" target="_blank">https://bioconductor.org/packages/release/bioc/html/DESeq2.html</a></p><p><span>edgeR</span>&nbsp;-&nbsp;<a href="https://bioconductor.org/packages/release/bioc/html/edgeR.html" target="_blank">https://bioconductor.org/packages/release/bioc/html/edgeR.html</a></p><p><span>limma</span>&nbsp;-&nbsp;<a href="https://kasperdanielhansen.github.io/genbioconductor/html/limma.html" target="_blank">https://kasperdanielhansen.github.io/genbioconductor/html/limma.html</a>&nbsp;&nbsp;<a href="https://bioconductor.org/packages/release/bioc/html/limma.html" target="_blank">https://bioconductor.org/packages/release/bioc/html/limma.html</a></p><p><span>MetaCycle</span>&nbsp;-&nbsp;<a href="https://cran.r-project.org/web/packages/MetaCycle/index.html" target="_blank">https://cran.r-project.org/web/packages/MetaCycle/index.html</a>,&nbsp;<a href="https://github.com/gangwug/MetaCycle" target="_blank">https://github.com/gangwug/MetaCycle</a></p><p><span>RUVSeq</span>&nbsp;-&nbsp;<a href="https://bioconductor.org/packages/release/bioc/html/RUVSeq.html" target="_blank">https://bioconductor.org/packages/release/bioc/html/RUVSeq.html</a></p><p><span>SARTools</span>&nbsp;-&nbsp;<a href="https://github.com/PF2-pasteur-fr/SARTools" target="_blank">https://github.com/PF2-pasteur-fr/SARTools</a></p><p><span>tximport</span>&nbsp;-&nbsp;<a href="https://github.com/mikelove/tximport" target="_blank">https://github.com/mikelove/tximport</a></p><p>&nbsp;</p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28425/advertisement-for-junior-research-fellowjrf-at-school-of-computational-and-integrative-sciences-jawaharlal-nehru-university</guid>
  <pubDate>Thu, 14 Jul 2016 07:24:53 -0500</pubDate>
  <link></link>
  <title><![CDATA[Advertisement for Junior Research Fellow(JRF)  at School of Computational and Integrative Sciences  Jawaharlal Nehru University]]></title>
  <description><![CDATA[
<p>Advertisement for Junior Research Fellow(JRF) - (1)</p>

<p>Applications are invited for a post in DST, India funded Project entitled: "Positive and negative impacts of macromolecular crowding agents during target site location by DNA binding proteins – origin of optimal search at physiological ionic concentration (Reference Number: ECR/2016/000188) ''. The selected candidate will be appointed purely on temporary basis, initially for two years as a JRF that may be extended to one year of SRF based on the performance.</p>

<p>Position: Junior Research Fellow (1)</p>

<p>Qualifications &amp; Experience: Candidate must have a consistently good academic record with at least 60% marks in all throughout and must have qualified NET/GATE.</p>

<p>Desirable: Basic knowledge in the field of biophysics, molecular simulations and computational biology are desirable.</p>

<p>Salary: Consolidated Rs. 25,000 per month.</p>

<p>Tenure: The project duration is for three years and the selected candidate would be appointed after an interview. Appointment will be purely on temporary basis as stipulated by the existing rules of the University.</p>

<p>Interested candidates need to send an application to the address mentioned below mentioning the name of the project and post applied for (on the cover of the envelope).</p>

<p>The applications along with CV should be mailed at the address given below. Name, address, contact number and e. mail address of two referees must be enclosed with the application. The last date for the application is July 31st 2016.</p>

<p>Dr. Arnab Bhattacharjee (Principal Investigator) <br />Assistant Professor <br />School of Computational and Integrative Sciences <br />Jawaharlal Nehru University <br />New Delhi-110067 <br />E-mail: arnab@jnu.ac.in</p>

<p>Note: 1. Only shortlisted candidates will be communicated to appear in the interview at SCIS, JNU and no other communications in this regard will be entertained.</p>

<p>2. No TA/DA will be paid for appearing in interview.</p>
]]></description>
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