<?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/40298?offset=120</link>
	<atom:link href="https://bioinformaticsonline.com/related/40298?offset=120" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42568/breedbase-is-a-comprehensive-breeding-management-and-analysis-software</guid>
	<pubDate>Wed, 06 Jan 2021 19:45:21 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42568/breedbase-is-a-comprehensive-breeding-management-and-analysis-software</link>
	<title><![CDATA[Breedbase is a comprehensive breeding management and analysis software]]></title>
	<description><![CDATA[<p><span>Breedbase is a comprehensive breeding management and analysis software. It can be used to design field layouts, collect phenotypic information using tablets, support the collection of genotyping samples in a field, store large amounts of high density genotypic information, and provide Genomic Selection related analyses and predictions. Breedbase supports the BrAPI standard.</span></p><p>Address of the bookmark: <a href="https://breedbase.org/" rel="nofollow">https://breedbase.org/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43815/kebabs-package-provides-functionality-for-kernel-based-analysis-of-biological-sequences-via-support-vector-machine-svm-based-methods</guid>
	<pubDate>Fri, 04 Mar 2022 00:14:11 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43815/kebabs-package-provides-functionality-for-kernel-based-analysis-of-biological-sequences-via-support-vector-machine-svm-based-methods</link>
	<title><![CDATA[kebabs: package provides functionality for kernel based analysis of biological sequences via Support Vector Machine (SVM) based methods]]></title>
	<description><![CDATA[<p><span>The&nbsp;</span><tt>kebabs</tt><span>&nbsp;package provides functionality for kernel based analysis of biological sequences via Support Vector Machine (SVM) based methods. Biological sequences include DNA, RNA, and amino acid (AA) sequences. Sequence kernels define similarity measures between sequences. The package implements some of the most important kernels for sequence analysis in a very flexible and efficient way and extends the standard position-independent functionality of these kernels in a novel way to take the position of patterns in the sequences into account for the similarity measure.</span></p>
<p>http://www.bioinf.jku.at/software/kebabs/</p>
<p>http://bioconductor.org/packages/release/bioc/vignettes/kebabs/inst/doc/kebabs.pdf</p><p>Address of the bookmark: <a href="http://www.bioinf.jku.at/software/kebabs/" rel="nofollow">http://www.bioinf.jku.at/software/kebabs/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44541/powerful-books-for-learning-data-analysis-with-r</guid>
	<pubDate>Tue, 28 May 2024 07:42:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44541/powerful-books-for-learning-data-analysis-with-r</link>
	<title><![CDATA[Powerful books for learning data analysis with R]]></title>
	<description><![CDATA[<p><span>R is powerful tool for data analysis, visualization, and machine learning. And it costs $0 to use! Here are six FREE books you can use to learn R today:</span></p>
<p><span>https://csgillespie.github.io/efficientR/</span></p>
<p><span>https://r-graphics.org/</span></p>
<p><span>https://rstudio-education.github.io/hopr/</span></p>
<p><span>https://r-pkgs.org/</span></p>
<p><span>https://r4ds.had.co.nz/</span></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://r-graphics.org/" rel="nofollow">https://r-graphics.org/</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/34864/installing-perl-environment-on-linux</guid>
	<pubDate>Tue, 26 Dec 2017 21:21:50 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/34864/installing-perl-environment-on-linux</link>
	<title><![CDATA[Installing Perl environment on Linux]]></title>
	<description><![CDATA[<p>By using&nbsp;<code>plenv</code>, you can easily install and switch among different version of Perl. This will be installed under your home directory in<code>~/.plenv</code>.</p><h4>Install latest Perl (with supporting multithreading) and CPANMinus.</h4><pre><code> $ cd
 $ git clone git://github.com/tokuhirom/plenv.git ~/.plenv
 $ git clone git://github.com/tokuhirom/Perl-Build.git ~/.plenv/plugins/perl-build/
 $ echo 'export PATH="$HOME/.plenv/bin:$PATH"' &gt;&gt; ~/.bashrc
 $ echo 'eval "$(plenv init -)"' &gt;&gt; ~/.bashrc
 $ source ~/.bashrc
 $ plenv install 5.18.1 -Dusethreads
 $ plenv rehash
 $ plenv global 5.18.1
 $ plenv install-cpanm
</code></pre><ul>
<li><code>git</code>&nbsp;is a distributed revision control and source code management software which can help you to download files from GitHub server.</li>
<li><code>echo</code>&nbsp;means "print".</li>
<li><code>&gt;&gt;</code>&nbsp;means adding the output into the end of the file, while&nbsp;<code>&gt;</code>&nbsp;means adding the output by overwriting the whole file. Please use<code>&gt;</code>&nbsp;with additional cares.</li>
<li>In Linux system, there are two types of outputs when you execute a command. One is called standard output (or sometimes STDOUT for short), and the other is a standard error (STDERR).&nbsp;<code>1&gt;</code>&nbsp;is for STDOUT only,&nbsp;<code>2&gt;</code>&nbsp;is for STDERR only, and&nbsp;<code>&amp;&gt;</code>means for both. In default&nbsp;<code>&gt;</code>&nbsp;is the same to&nbsp;<code>1&gt;</code>.</li>
<li><code>exec</code>&nbsp;is execution.</li>
<li>Remember to install Perl in supporting multithreading (with option&nbsp;<code>-Dusethreads</code>), which is important for many NGS analysis packages (e.g. Trinity). In this setting, you can use multiple CPU for Perl software.</li>
<li>Install the CPAN (Comprehensive Perl Archive Network) manager software, CPANMinus, by&nbsp;<code>install-cpanm</code>.</li>
</ul><p>You can use&nbsp;<code>plenv global</code>&nbsp;and&nbsp;<code>plenv local</code>&nbsp;to change the different version of Perl to fulfil different needs of your Perl software.</p><p>For example, if the&nbsp;specific version of Perl is not compatible with your script, you can switch to the different version by:</p><pre><code> $ plenv local 
</code></pre><ul>
<li>It is similar to set the local version of your script language when you use&nbsp;<code>pyenv</code>&nbsp;and&nbsp;<code>rbenv</code>&nbsp;as the following.</li>
</ul><p>Put the following path into&nbsp;<code>~/.bashrc file</code>.</p><pre><code>export PERL5LIB="$HOME/.plenv/build/perl-5.18.1/lib"
</code></pre><h4>Install BioPerl and PerlIO::gzip</h4><p>CPANMinus is a very good Perl module manager, use&nbsp;<code>cpanm</code>&nbsp;to install BioPerl can save you a lot of time. Here are some useful modules:</p><pre><code>$ cpanm Bio::Perl
$ cpanm Bio::SearchIO
$ cpanm PerlIO::gzip<br /></code></pre><p><span>For more information, please visit:&nbsp;</span><a href="https://github.com/tokuhirom/plenv">https://github.com/tokuhirom/plenv</a></p><pre><code>&nbsp;</code></pre>]]></description>
	<dc:creator>biogeek</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43810/seqfu-a-suite-of-utilities-for-the-robust-and-reproducible-manipulation-of-sequence-files</guid>
	<pubDate>Tue, 01 Mar 2022 03:13:33 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43810/seqfu-a-suite-of-utilities-for-the-robust-and-reproducible-manipulation-of-sequence-files</link>
	<title><![CDATA[SeqFu: A Suite of Utilities for the Robust and Reproducible Manipulation of Sequence Files]]></title>
	<description><![CDATA[<p>A general-purpose program to manipulate and parse information from FASTA/FASTQ files, supporting gzipped input files. Includes functions to&nbsp;<em>interleave</em>&nbsp;and&nbsp;<em>de-interleave</em>&nbsp;FASTQ files, to&nbsp;<em>rename</em>&nbsp;sequences and to&nbsp;<em>count</em>&nbsp;and print&nbsp;<em>statistics</em>&nbsp;on sequence lengths. SeqFu is available for Linux and MacOS.</p>
<ul>
<li>A compiled program delivering high performance analyses</li>
<li>Supports FASTA/FASTQ files, also Gzip compressed</li>
<li>A growing collection of handy utilities, also for quick inspection of the datasets</li>
</ul>
<p>Can be easily&nbsp;<a href="https://telatin.github.io/seqfu2/installation">installed</a>&nbsp;via conda:</p>
<div>
<div>
<pre><code>conda <span>install</span> <span>-c</span> bioconda seqfu</code></pre>
</div>
</div><p>Address of the bookmark: <a href="https://telatin.github.io/seqfu2/" rel="nofollow">https://telatin.github.io/seqfu2/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43698/mimilook-a-phylogenetic-workflow-for-detection-of-gene-acquisition-in-major-orthologous-groups-of-megavirales</guid>
	<pubDate>Mon, 10 Jan 2022 06:32:22 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43698/mimilook-a-phylogenetic-workflow-for-detection-of-gene-acquisition-in-major-orthologous-groups-of-megavirales</link>
	<title><![CDATA[MimiLook: A Phylogenetic Workflow for Detection of Gene Acquisition in Major Orthologous Groups of Megavirales]]></title>
	<description><![CDATA[<p><span>This tool detects statistically validated events of gene acquisitions with the help of the T-REX algorithm by comparing individual gene tree with NCBI species tree. In between the steps, the workflow decides about handling paralogs, filtering outputs, identifying Megavirale specific OGs, detection of HGTs, along with retrieval of information about those OGs that are monophyletic with organisms from cellular domains of life.&nbsp;</span></p>
<p>https://www.readcube.com/articles/10.3390%2Fv9040072</p><p>Address of the bookmark: <a href="https://pubmed.ncbi.nlm.nih.gov/28387730/" rel="nofollow">https://pubmed.ncbi.nlm.nih.gov/28387730/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/3013/python-and-biopython-tutorial</guid>
	<pubDate>Fri, 23 Aug 2013 06:47:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/3013/python-and-biopython-tutorial</link>
	<title><![CDATA[Python and BioPython Tutorial]]></title>
	<description><![CDATA[<p>A quickstart tutorial that allows to become familiar with the Python language. The exercises expect knowledge of basic concepts of programming. A group of 2nd year computer science students with no previous Python knowledge required 60'-90' to complete the exercises. With about 3 hours time, the exercise is suitable for non-programmers as well.</p><p>Address of the bookmark: <a href="http://www.biotnet.org/training-materials/python-programmers" rel="nofollow">http://www.biotnet.org/training-materials/python-programmers</a></p>]]></description>
	<dc:creator>Manshi Raghubanshi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/20331/type-hinting</guid>
	<pubDate>Fri, 09 Jan 2015 22:26:13 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/20331/type-hinting</link>
	<title><![CDATA[Type Hinting]]></title>
	<description><![CDATA[<p>Python creator Guido van Rossum&rsquo;s proposal for static type-checking annotations is inching closer to reality, and the feature has taken on a new name: type hinting.</p><p><img src="http://sdtimes.com/wp-content/uploads/2015/01/0107.sdt-python-typehinting.png" alt="image" width="619" height="219" style="border: 0px; border: 0px;"></p><p>Back in August, van Rossum published a proposal on the Python mailing list recommending type-checking annotations as a valuable feature for the next version of Python to improve the performance of editors and IDEs, linter capabilities, standard notation, and refactoring. Van Rossum&rsquo;s <a href="http://lwn.net/Articles/627558/">latest proposal</a>, posted late last month, outlined plans to publish a Python Enhancement Proposal (PEP) in early January to put the feature now known as type hinting on track for inclusion in Python 3.5, slated for release this September.</p><p>Reference</p><p>https://quip.com/r69HA9GhGa7J</p>]]></description>
	<dc:creator>Pranjali Yadav</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26627/scientist-computational-genomics-two-positions</guid>
  <pubDate>Sat, 12 Mar 2016 18:07:56 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist - Computational Genomics (Two Positions)]]></title>
  <description><![CDATA[
<p>ICRISAT is a non-profit, non-political organization that conducts agricultural research for development in Asia and sub-Saharan Africa with a wide array of partners throughout the world. Covering 6.5 million square kilometers of land in 55 countries, the semi-arid tropics is home to over 2 billion people, with 650 million of these being the poorest of the poor. ICRISAT and its partners help empower those living in the semi-arid tropics, especially smallholder farmers, to overcome poverty, hunger, malnutrition and a degraded environment through more efficient and profitable agriculture.</p>

<p>ICRISAT is headquartered in Patancheru near Hyderabad, India, with two regional hubs and five country offices in sub-Saharan Africa. ICRISAT, established in 1972, is a member of the CGIAR Consortium. For more details, see www.icrisat.org.</p>

<p>Responsibilities:Design efficient SQL queries for pulling large sequencing projects.<br />Serve as a technical adviser to the project leadership and provide computational perspective on product design and deliverability.<br />Develop and oversee a rapid and incremental software development and release schedule.<br />Design the software architecture, oversee the implementation and evolution of the design on appropriate hardware platforms.<br />Working collaboratively in a team environment to design, code, test, debug, and document programs for an integrated genomic analysis pipeline in a rapid and incremental software development and release schedule.<br />Supervise and review code development and ensure that software products meet project objectives in terms of functionality, scalability, robustness and user experience.<br />Implement and oversee the QA/QC practices to ensure the development team is adhering to quality standards.<br />Work closely with the application specialist to integrate feedbacks from teams in each CGIAR center into software customization and improvement.<br />Assist in training of breeders in the CGIAR centers to use software developed.<br /> Personal Profile:</p>

<p>The applicant should have:</p>

<p>Understanding of genomics data and advanced knowledge of Java, and C/C++ as the programming languages and any of the scripting language like perl and/or Python, SQL<br />High Performance Computing, data architecture, database platforms and QA/QC practices in software engineering.<br />She/he should have solid experience in software development projects, preferably as a senior programmer or in the software project management role, and in projects involving big data.<br />Excellent communication skills are needed to work in this multi-disciplinary, multi-location and multi-cultural team.<br />Ability to mentor colleagues in quality software development practices is desired.<br />Educational Qualification : Ph. D or Masters Degree in Computational Biology / Computational Genomics or Equivalent with Research Experience in Mentioned Areas.</p>

<p>More at http://www.icrisat.org/careers/</p>
]]></description>
</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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/>Get:19 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 python-jinja2 all 2.8-1 [109 kB]<br />Get:20 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 python-pycurl amd64 7.43.0-1ubuntu1 [43,3 kB]<br />Get:21 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-tornado amd64 4.2.1-1ubuntu3 [273 kB]<br />Get:22 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-zmq amd64 15.2.0-0ubuntu4 [200 kB]<br />Get:23 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 ipython-notebook all 2.4.1-1 [48,4 kB]<br />Get:24 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 isympy all 0.7.6.1-1 [82,5 kB]<br />Get:25 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 libaec0 amd64 0.3.2-1 [18,0 kB]<br />Get:26 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 libamd2.4.1 amd64 1:4.4.6-1 [21,3 kB]<br />Get:27 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 libglpk36 amd64 4.57-1build3 [386 kB]<br />Get:28 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 libgsl2 amd64 2.1+dfsg-2 [840 kB]<br />Get:29 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 libsz2 amd64 0.3.2-1 [5.048 B]<br />Get:30 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 libhdf5-10 amd64 1.8.16+docs-4ubuntu1 [995 kB]<br />Get:31 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-antlr all 2.7.7+dfsg-6ubuntu1 [19,0 kB]<br />Get:32 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 python-bs4 all 4.4.1-1 [64,2 kB]<br />Get:33 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 python-chardet all 2.3.0-2 [96,3 kB]<br />Get:34 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 libdsdp-5.8gf amd64 5.8-9.1ubuntu2 [192 kB]<br />Get:35 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-cvxopt amd64 1.1.4-1.4 [1.344 kB]<br />Get:36 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-cycler all 0.9.0-1 [5.426 B]<br />Get:37 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 python-dateutil all 2.4.2-1 [42,5 kB]<br />Get:38 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 python-glade2 amd64 2.24.0-4ubuntu1 [9.078 B]<br />Get:39 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-gmpy amd64 1.17-1 [91,1 kB]<br />Get:40 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 python-html5lib all 0.999-4 [83,1 kB]<br />Get:41 http://be.archive.ubuntu.com/ubuntu xenial-updates/main amd64 python-pil amd64 3.1.2-0ubuntu1.1 [312 kB]<br />Get:42 http://be.archive.ubuntu.com/ubuntu xenial-updates/universe amd64 python-imaging all 3.1.2-0ubuntu1.1 [4.596 B]<br />Get:43 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-jdcal all 1.0-1build1 [7.702 B]<br />Get:44 http://be.archive.ubuntu.com/ubuntu xenial/universe amd64 python-joblib all 0.9.4-1 [74,6 kB]<br />Get:45 http://be.archive.ubuntu.com/ubuntu xenial/main amd64 python-lxml amd64 3.5.0-1build1 [819 kB]<br />Get:46 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-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 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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>

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