<?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/26629?offset=1200</link>
	<atom:link href="https://bioinformaticsonline.com/related/26629?offset=1200" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/42188/tools-and-method-for-haplotype-phasing</guid>
	<pubDate>Fri, 04 Sep 2020 20:41:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/42188/tools-and-method-for-haplotype-phasing</link>
	<title><![CDATA[Tools and Method for Haplotype phasing !]]></title>
	<description><![CDATA[<div>Huge amounts of genotype data are being produced with recent technological advances, both from increasingly&nbsp; comprehensive and inexpensive genome-wide SNP microarrays and from ever more accessible whole-genome and whole-exome sequencing methods. The vast amount of knowledge contained in these results, however, is best&nbsp; exploited through phased haplotypes, which classify the alleles co-located on the same chromosome. Since sequence and SNP array data normally take the form of unphased genotypes, one does not specifically observe which of the two parental chromosomes, or haplotypes, falls on a specific allele. Fortunately, new advances in both computational and laboratory methods promise improved determination of haplotype phase. Following are useful tools :</div><div>&nbsp;</div><p><strong>Arlequin:</strong>&nbsp;<a href="http://cmpg.unibe.ch/software/arlequin3/" target="_blank">http://cmpg.unibe.ch/software/arlequin3/</a></p><p><strong>BEAGLE:</strong>&nbsp;<a href="http://faculty.washington.edu/browning/beagle/beagle.html" target="_blank">http://faculty.washington.edu/browning/beagle/beagle.html</a></p><p><strong>fastPHASE:</strong>&nbsp;<a href="http://stephenslab.uchicago.edu/software.html" target="_blank">http://stephenslab.uchicago.edu/software.html</a></p><p><strong>GENEHUNTER:</strong>&nbsp;<a href="http://linkage.rockefeller.edu/soft/gh/" target="_blank">http://linkage.rockefeller.edu/soft/gh/</a></p><p><strong>The Genome Analysis Toolkit:</strong></p><p><a href="http://www.broadinstitute.org/gsa/wiki/index.php/The_Genome_Analysis_Toolkit" target="_blank">http://www.broadinstitute.org/gsa/wiki/index.php/The_Genome_Analysis_Toolkit</a></p><p><strong>IMPUTE2:</strong>&nbsp;<a href="https://mathgen.stats.ox.ac.uk/impute/impute_v2.html" target="_blank">https://mathgen.stats.ox.ac.uk/impute/impute_v2.html</a></p><p><strong>MACH:</strong>&nbsp;<a href="http://www.sph.umich.edu/csg/abecasis/MACH/" target="_blank">http://www.sph.umich.edu/csg/abecasis/MACH/</a></p><p><strong>MERLIN:</strong>&nbsp;<a href="http://www.sph.umich.edu/csg/abecasis/Merlin/" target="_blank">http://www.sph.umich.edu/csg/abecasis/Merlin/</a></p><p><strong>PHASE:</strong>&nbsp;<a href="http://stephenslab.uchicago.edu/software.html" target="_blank">http://stephenslab.uchicago.edu/software.html</a></p><p><strong>PL-EM:</strong>&nbsp;<a href="http://www.people.fas.harvard.edu/~junliu/plem/" target="_blank">http://www.people.fas.harvard.edu/~junliu/plem/</a></p><p><strong>&ldquo;Read-backed phasing&rdquo; algorithm</strong>:&nbsp;<a href="http://www.broadinstitute.org/gsa/wiki/index.php/Read-backed_phasing_algorithm" target="_blank">http://www.broadinstitute.org/gsa/wiki/index.php/Read-backed_phasing_algorithm</a></p><p><strong>SHAPE-IT:</strong>&nbsp;<a href="http://www.griv.org/shapeit/" target="_blank">http://www.griv.org/shapeit/</a></p>]]></description>
	<dc:creator>Manisha Mishra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/19820/rstudio</guid>
	<pubDate>Sat, 27 Dec 2014 06:50:58 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/19820/rstudio</link>
	<title><![CDATA[RStudio]]></title>
	<description><![CDATA[<p>RStudio IDE is a powerful and productive user interface for R. It&rsquo;s free and open source, and works great on Windows, Mac, and Linux.</p>
<p>The developers and expert trainers are the authors of several popular R packages, including ggplot2, plyr, lubridate, and others.</p>
<p>More at http://www.rstudio.com/</p>
<p>http://www.rstudio.com/products/RStudio/</p><p>Address of the bookmark: <a href="http://www.rstudio.com/" rel="nofollow">http://www.rstudio.com/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/36373/tools-to-predict-the-impact-of-missense-variants</guid>
	<pubDate>Mon, 23 Apr 2018 12:57:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/36373/tools-to-predict-the-impact-of-missense-variants</link>
	<title><![CDATA[Tools to Predict the Impact of Missense Variants !]]></title>
	<description><![CDATA[<p><span>Prioritizing missense variants for further experimental investigation is a key challenge in current sequencing studies for exploring complex and Mendelian diseases. A large number of&nbsp;</span><em>in silico</em><span>&nbsp;tools have been employed for the task of pathogenicity prediction, including PolyPhen‐2, SIFT, FatHMM, MutationTaster‐2, MutationAssessor, Combined Annotation Dependent Depletion, LRT, phyloP, and GERP++, as well as optimized methods of combining tool scores, such as Condel and Logit. Due to the wealth of these methods, an important practical question to answer is which of these tools generalize best, that is, correctly predict the pathogenic character of new variants. </span></p><p><span>Study of 10 tools on five datasets that such a comparative evaluation of these tools is hindered by two types of circularity: they arise due to (1) the same variants or (2) different variants from the same protein occurring both in the datasets used for training and for evaluation of these tools, which may lead to overly optimistic results. Comparative evaluations of predictors that do not address these types of circularity may erroneously conclude that circularity confounded tools are most accurate among all tools, and may even outperform optimized combinations of tools.</span></p><p><span>Following tools are useful for mis sense muation detection ...&nbsp;</span></p><p>PolyPhen‐2 (PP2)<br />&ldquo;Predicts possible impact of an amino acid substitution on the structure and function of a human protein using straightforward physical and comparative considerations&rdquo;</p><p>MutationTaster‐2 (MT2)<br />&ldquo;Evaluation of the disease‐causing potential of DNA sequence alterations&rdquo;</p><p>MutationAssessor (MASS)<br />&ldquo;Predicts the functional impact of amino acid substitutions in proteins, such as mutations discovered in cancer or missense polymorphisms&rdquo;</p><p>LRT<br />&ldquo;Identify a subset of deleterious mutations that disrupt highly conserved amino acids within protein‐coding sequences, which are likely to be unconditionally deleterious&rdquo;</p><p>SIFT<br />&ldquo;Predicts whether an amino acid substitution affects protein function&rdquo;</p><p>GERP++<br />&ldquo;Identifies constrained elements in multiple alignments by quantifying substitution deficits. These deficits represent substitutions that would have occurred if the element were neutral DNA, but did not occur because the element has been under functional constraint. We refer to these deficits as &ldquo;rejected substitutions.&rdquo; Rejected substitutions are a natural measure of constraint that reflects the strength of past purifying selection on the element&rdquo;</p><p>phyloP<br />&ldquo;Compute conservation or acceleration P values based on an alignment and a model of neutral evolution&rdquo;</p><p>FatHMM unweighted (FatHMM‐U)<br />Predicts &ldquo;functional consequences of both coding variants, that is, nonsynonymous single‐nucleotide variants, and noncoding variants&rdquo;</p><p>FatHMM weighted (FatHMM‐W)<br />Predicts &ldquo;functional consequences of both coding variants, that is, nonsynonymous single‐nucleotide variants, and noncoding variants&rdquo; and its weighting scheme attributes higher tolerance scores to SNVs in proteins, related proteins, or domains that already include a high fraction of pathogenic variantsh</p><p>Combined Annotation Dependent Depletion (CADD)<br />&ldquo;CADD is a tool for scoring the deleteriousness of single‐nucleotide variants as well as insertion/deletions variants in the human genome&rdquo;</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/19980/seqloc-06</guid>
	<pubDate>Sun, 28 Dec 2014 12:51:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/19980/seqloc-06</link>
	<title><![CDATA[seqloc 0.6]]></title>
	<description><![CDATA[<p>The <code>Bio.SeqLoc</code> modules in <code>seqloc</code> are designed to represent positions and locations (ranges of positions) on sequences, particularly nucleotide sequences. My original motivation for writing these packages was handing the locations of genes in eukaryotic genomes.</p>
<p>Handle sequence locations for bioinformatics http://www.ingolia-lab.org/seqloc-tutorial.html</p><p>Address of the bookmark: <a href="http://www.stackage.org/snapshot/nightly-2014-12-28/package/seqloc-0.6" rel="nofollow">http://www.stackage.org/snapshot/nightly-2014-12-28/package/seqloc-0.6</a></p>]]></description>
	<dc:creator>Gudiya Pal</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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[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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/>Selecting previously unselected package python-tables.<br />Preparing to unpack .../python-tables_3.2.2-2_all.deb ...<br />Unpacking python-tables (3.2.2-2) ...<br />Selecting previously unselected package python-tk.<br />Preparing to unpack .../python-tk_2.7.12-1~16.04_amd64.deb ...<br />Unpacking python-tk (2.7.12-1~16.04) ...<br />Selecting previously unselected package python-xlrd.<br />Preparing to unpack .../python-xlrd_0.9.4-1_all.deb ...<br />Unpacking python-xlrd (0.9.4-1) ...<br />Selecting previously unselected package python-xlwt.<br />Preparing to unpack .../python-xlwt_0.7.5+debian1-1_all.deb ...<br />Unpacking python-xlwt (0.7.5+debian1-1) ...<br />Selecting previously unselected package python-scipy.<br />Preparing to unpack .../python-scipy_0.17.0-1_amd64.deb ...<br />Unpacking python-scipy (0.17.0-1) ...<br />Selecting previously unselected package python-statsmodels-lib.<br />Preparing to unpack .../python-statsmodels-lib_0.6.1-4_amd64.deb ...<br />Unpacking python-statsmodels-lib (0.6.1-4) ...<br />Selecting previously unselected package python-statsmodels.<br />Preparing to unpack .../python-statsmodels_0.6.1-4_all.deb ...<br />Unpacking python-statsmodels (0.6.1-4) ...<br />Processing triggers for libc-bin (2.23-0ubuntu10) ...<br />Processing triggers for fontconfig (2.11.94-0ubuntu1.1) ...<br />Processing triggers for man-db (2.7.5-1) ...<br />Processing triggers for hicolor-icon-theme (0.15-0ubuntu1) ...<br />Processing triggers for gnome-menus (3.13.3-6ubuntu3.1) ...<br />Processing triggers for desktop-file-utils (0.22-1ubuntu5.1) ...<br />Processing triggers for mime-support (3.59ubuntu1) ...<br />Processing triggers for doc-base (0.10.7) ...<br />Processing 5 added doc-base files...<br />Setting up python-pymysql (0.7.2-1ubuntu1) ...<br />Setting up tk8.6-blt2.5 (2.5.3+dfsg-3) ...<br />Setting up blt (2.5.3+dfsg-3) ...<br />Setting up fonts-lyx (2.1.4-2) ...<br />Setting up fonts-mathjax (2.6.1-1) ...<br />Setting up 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/opportunity/view/20271/research-associate-tata-memorial-centre-advanced-centre-for-treatment-research-and-education-in-cancer-kharghar-navi-mumbai</guid>
  <pubDate>Thu, 08 Jan 2015 20:53:57 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Associate	@ TATA MEMORIAL CENTRE ADVANCED CENTRE FOR TREATMENT, RESEARCH AND EDUCATION IN CANCER KHARGHAR, NAVI MUMBAI]]></title>
  <description><![CDATA[
<p>TATA MEMORIAL CENTRE ADVANCED CENTRE FOR TREATMENT, RESEARCH AND EDUCATION IN CANCER KHARGHAR, NAVI MUMBAI – 410210</p>

<p>Website: www.actrec.gov.in; Ph: 27405000</p>

<p>No. ACTREC/Advt./ 66 /2014 23rd December, 2014<br />Research Associate	</p>

<p>International Cancer Genome Consortium (ICGC) - India Project (IRB Project No. 3 A/c. No. 2408)</p>

<p>Dr. Rajiv Sarin</p>

<p>Duration of the Project: One year Extendable up to Three years.</p>

<p>Consolidated Salary: Rs. 42,000/- p.m.</p>

<p>Application last date: 8th January, 2015.</p>

<p>Interview Date &amp; Time: 21st January, 2015, at 11.00 a.m.</p>

<p>Venue: Conference Room, 3rd floor, Khanolkar Shodhika, ACTREC.</p>

<p>Essential Qualifications and Experience:</p>

<p>Ph.D (any branch of Life Sciences)</p>

<p>The candidate must have at least one year experience after Ph.D., preferably in Genomics and Molecular Biology.</p>

<p>Candidates fulfilling these requirements should pre register themselves by sending their application in the prescribed format with recent CV and contact details of 2 referees by e-mail to icgc@actrec.gov.in latest 8th January, 2015 by 10.00 a.m.</p>

<p>Candidates shortlisted for the interview will be intimated by email on or before 9th January, 2015.</p>

<p>The interviews would be held on 21st January 2015 and will be only for the pre registered candidates who have been shortlisted.<br />No T.A./D.A. will be admissible for attending the interview.</p>

<p>At the time of Interview the candidate should bring original certificates along with CV with contact details of 2 referees and submit the photocopies (attested) of the certificates, with a recent passport size photograph.</p>

<p>Advertisement: www.actrec.gov.in/data%20files/2014/Walk-in-Research-Fellow-26-12-14.doc</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36533/mecat-fast-mapping-error-correction-and-de-novo-assembly-for-single-molecule-sequencing-reads</guid>
	<pubDate>Fri, 11 May 2018 05:07:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36533/mecat-fast-mapping-error-correction-and-de-novo-assembly-for-single-molecule-sequencing-reads</link>
	<title><![CDATA[MECAT: fast mapping, error correction, and de novo assembly for single-molecule sequencing reads]]></title>
	<description><![CDATA[<p>MECAT is an ultra-fast Mapping, Error Correction and de novo Assembly Tools for single molecula sequencing (SMRT) reads. MECAT employs novel alignment and error correction algorithms that are much more efficient than the state of art of aligners and error correction tools. MECAT can be used for effectively de novo assemblying large genomes. For example, on a 32-thread computer with 2.0 GHz CPU , MECAT takes 9.5 days to assemble a human genome based on 54x SMRT data, which is 40 times faster than the current&nbsp;<a href="http://cbcb.umd.edu/software/pbcr/mhap/">PBcR-Mhap pipeline</a>. MECAT performance were compared with&nbsp;<a href="http://cbcb.umd.edu/software/pbcr/mhap/">PBcR-Mhap pipeline</a>,&nbsp;<a href="https://github.com/PacificBiosciences/falcon">FALCON</a>&nbsp;and&nbsp;<a href="http://canu.readthedocs.io/en/latest/">Canu(v1.3)</a>&nbsp;in five real datasets. The quality of assembled contigs produced by MECAT is the same or better than that of the&nbsp;<a href="http://cbcb.umd.edu/software/pbcr/mhap/">PBcR-Mhap pipeline</a>&nbsp;and&nbsp;<a href="https://github.com/PacificBiosciences/falcon">FALCON</a>.&nbsp;</p>
<p>https://www.nature.com/articles/nmeth.4432</p><p>Address of the bookmark: <a href="https://github.com/xiaochuanle/MECAT" rel="nofollow">https://github.com/xiaochuanle/MECAT</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<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>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43546/introduction-to-phylogenies-in-r</guid>
	<pubDate>Wed, 13 Oct 2021 02:27:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43546/introduction-to-phylogenies-in-r</link>
	<title><![CDATA[Introduction to phylogenies in R]]></title>
	<description><![CDATA[<p><span>R phylogenetics is built on the contributed packages for phylogenetics in R, and there are many such packages. Let's begin today by installing a few critical packages, such as ape, phangorn, phytools, and geiger. To get the most recent CRAN version of these packages, you will need to have R 3.3.x installed on your computer!</span></p><p>Address of the bookmark: <a href="http://www.phytools.org/Cordoba2017/ex/2/Intro-to-phylogenies.html" rel="nofollow">http://www.phytools.org/Cordoba2017/ex/2/Intro-to-phylogenies.html</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/20471/bioinformatics-scripts</guid>
	<pubDate>Thu, 22 Jan 2015 22:29:39 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/20471/bioinformatics-scripts</link>
	<title><![CDATA[Bioinformatics Scripts]]></title>
	<description><![CDATA[<p>Some of the useful bioinformatics scripts.</p>
<p>For example ... contig-stats.pl is a Perl script that will automatically describe features of a sequence assembly.</p>
<p>http://milkweedgenome.org/?q=scripts</p><p>Address of the bookmark: <a href="http://milkweedgenome.org/?q=scripts" rel="nofollow">http://milkweedgenome.org/?q=scripts</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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