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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/13842?offset=480</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37618/snakemake%E2%80%94a-scalable-bioinformatics-workflow-engine</guid>
	<pubDate>Sun, 02 Sep 2018 16:32:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37618/snakemake%E2%80%94a-scalable-bioinformatics-workflow-engine</link>
	<title><![CDATA[Snakemake—a scalable bioinformatics workflow engine]]></title>
	<description><![CDATA[<p><span>Snakemake is a workflow engine that provides a readable Python-based workflow definition language and a powerful execution environment that scales from single-core workstations to compute clusters without modifying the workflow.&nbsp;</span></p><p>Address of the bookmark: <a href="https://bioconda.github.io/recipes/snakemake/README.html" rel="nofollow">https://bioconda.github.io/recipes/snakemake/README.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/12868/landry-lab</guid>
  <pubDate>Thu, 17 Jul 2014 14:33:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[Landry Lab]]></title>
  <description><![CDATA[
<p>EVOLUTIONARY AND INTEGRATIVE CELL BIOLOGY</p>

<p>Our research is at the crossroad between cell biology, ecological genomics, systems biology, molecular evolution and population genetics. We study the architecture and evolution of protein and signalling networks.</p>

<p>More at http://landrylab.ibis.ulaval.ca/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/8970/j-aires-de-sousa-research-group</guid>
  <pubDate>Wed, 12 Mar 2014 09:57:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[J. Aires de Sousa Research Group]]></title>
  <description><![CDATA[
<p>We are involved in the development of methods and software in chemoinformatics. Current main projects are:</p>

<p>1.automatic learning of chemical reactivity and metabolism,<br />2.simulation of NMR spectra,<br />3.modelling of properties of ionic liquids, and<br />4.representation of molecular chirality.</p>

<p>More at http://joao.airesdesousa.com/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/9030/linux-ssh-client-commands-for-bioinformatics</guid>
	<pubDate>Thu, 13 Mar 2014 17:16:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/9030/linux-ssh-client-commands-for-bioinformatics</link>
	<title><![CDATA[Linux SSH Client Commands for Bioinformatics]]></title>
	<description><![CDATA[<p>Here come on let play with the following basic command line usage of the ssh client.<br /><br /><strong>1. Check your SSH Client Version:</strong><br /><br />Checking for your SSH client is very sare, but sometimes it may be necessary to identify the SSH client that you are currently running and it&rsquo;s corresponding version number. The SSh client can be identified as follows<br /><br />$ ssh -V<br />OpenSSH_3.9p1, OpenSSL 0.9.7a Feb 19 2013<br /><br />$ ssh -V<br />ssh: SSH Secure Shell 3.2.9.1 (non-commercial version) on i686-pc-linux-gnu<br /><br /><strong>2. Connect and login to remote host:</strong></p><p>The First time when you login to the remotehost from a localhost, it will display the host key not found message and you can give &ldquo;yes&rdquo; to continue. The host key of the remote host will be added under .ssh2/hostkeys directory of your home directory, as shown below.<br /><br />localhost$ ssh -l jit remotehost.example.com<br /><br />jit@remotehost.example.com password:</p><p>remotehost.example.com$</p><p>The Second time when you login to the remote host from the localhost, it will prompt only for the password as the remote host key is already added to the known hosts list of the ssh client.<br /><br />localhost$ ssh -l jit remotehost.example.com<br />jit@remotehost.example.com password: <br />remotehost.example.com$<br /><br />For some reason, if the host key of the remote host is changed after you logged in for the first time, you may get a warning message as shown below. This could be because of various reasons such as 1) Sysadmin upgraded/reinstalled the SSH server on the remote host 2) someone is doing malicious activity etc., The best possible action to take before saying &ldquo;yes&rdquo; to the message below, is to call your sysadmin and identify why you got the host key changed message and verify whether it is the correct host key or not.<br /><br />localhost$ ssh -l jit remotehost.example.com<br /><br />jit @remotehost.example.com's password: <br />remotehost$<br /><br /><strong>4. Debug SSH Client:</strong><br /><br />Sometimes it is necessary to view debug messages to troubleshoot any SSH connection issues. For this purpose, pass -v (lowercase v) option to the ssh as shown below.<br /><br />Example without debug message:<br /><br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; localhost$ ssh -l jit remotehost.example.com<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; warning: Connecting to remotehost.example.com failed: No address associated to the name<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; localhost$</p><p>Example with debug message:<br /><br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; locaclhost$ ssh -v -l jit remotehost.example.com<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; debug: SshConfig/sshconfig.c:2838/ssh2_parse_config_ext: Metaconfig parsing stopped at line 3.<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; debug: SshConfig/sshconfig.c:637/ssh_config_set_param_verbose: Setting variable 'VerboseMode' to 'FALSE'.<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; debug: SshConfig/sshconfig.c:3130/ssh_config_read_file_ext: Read 17 params from config file.<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; debug: Ssh2/ssh2.c:1707/main: User config file not found, using defaults. (Looked for '/home/jit/.ssh2/ssh2_config')<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; debug: Connecting to remotehost.example.com, port 22... (SOCKS not used)<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; warning: Connecting to remotehost.example.com failed: No address associated to</p><p><strong>5. Escape Character: (Toggle SSH session, SSH session statistics etc.)</strong><br /><br />Escape character ~ get&rsquo;s SSH clients attention and the character following the ~ determines the escape command.<br />Toggle SSH Session: When you&rsquo;ve logged on to the remotehost using ssh from the localhost, you may want to come back to the localhost to perform some activity and go back to remote host again. In this case, you don&rsquo;t need to disconnect the ssh session to the remote host. Instead follow the steps below.</p><p>i. Login to remotehost from localhost: localhost$ssh -l jit remotehost<br />ii. Now you are connected to the remotehost: remotehost$<br />iii. To come back to the localhost temporarily, type the escape character ~ and Control-Z. When you type ~ you will not see that immediately on the screen until you press and press enter. So, on the remotehost in a new line enter the following key strokes for the below to work: ~<br /><br />&nbsp;&nbsp;&nbsp; remotehost$ ~^Z<br />&nbsp;&nbsp;&nbsp; [1]+&nbsp; Stopped&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ssh -l jit remotehost<br />&nbsp;&nbsp;&nbsp; localhost$</p><p>iv. Now you are back to the localhost and the ssh remotehost client session runs as a typical unix background job, which you can check as shown below:<br /><br />&nbsp;&nbsp;&nbsp; localhost$ jobs<br />&nbsp;&nbsp;&nbsp; [1]+&nbsp; Stopped&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ssh -l jit remotehost<br /><br />v. You can go back to the remote host ssh without entering the password again by bringing the background ssh remotehost session job to foreground on the localhost<br /><br />&nbsp;&nbsp;&nbsp; localhost$ fg %1<br />&nbsp;&nbsp;&nbsp; ssh -l jit remotehost<br />&nbsp;&nbsp;&nbsp; remotehost$</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/40881/liu-lab</guid>
  <pubDate>Tue, 04 Feb 2020 06:27:02 -0600</pubDate>
  <link></link>
  <title><![CDATA[Liu Lab]]></title>
  <description><![CDATA[
<p>Shirley is a computational biologist with expertise in cancer epigenetics. Her research focuses on algorithm development and integrative mining from big data generated on microarrays, massively parallel sequencing, and other high throughput techniques to model the specificity and function of transcription factors, chromatin regulators and lncRNAs in tumor development, progression, drug response and resistance.</p>

<p>https://liulab-dfci.github.io/software/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/9341/gerstein-lab</guid>
  <pubDate>Wed, 19 Mar 2014 12:48:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[Gerstein Lab]]></title>
  <description><![CDATA[
<p>The focus of the Gerstein Lab is interpreting personal genomes, particularly in relation to disorders, such as cancer. This endeavor has a number of related aspects described below. Moreover, the approaches we take have broad connections to a variety of data-intensive fields, within the emerging discipline of data science. </p>

<p>Personal Genome Variation: SVs<br />Human Genome Annotation: Processing Next-Gen Sequencing Data<br />Comparative Genomics: Pseudogenes as Molecular Fossils<br />Protein Structure and Function: Macromolecular Motions<br />Analysis of Diverse Networks<br />Genomics at the Forefront of Data Science</p>

<p>Lab page: http://www.gersteinlab.org/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9519/bioinformatics-phd-at-university-of-calcutta</guid>
  <pubDate>Mon, 31 Mar 2014 08:41:04 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics PhD at University of Calcutta]]></title>
  <description><![CDATA[
<p>University of Calcutta<br />Department of Biophysics, Molecular Biology &amp; Bioinformatics</p>

<p>Applications are invited for admission to the Ph.D. programme in the Department of Biophysics, Molecular Biology &amp; Bioinformatics, University of Calcutta for the year 2014 from eligible candidates who would be placed under the departmental teachers or affiliated research supervisors for the pursuance of their Ph.D. programme.</p>

<p>Candidates are requested to download the Ph.D. admission test application form from the University website and apply in the prescribed proforma by paying Rs. 100/- through a challan available through different University Cash counters. The challan is to be duly forwarded through the Head, Department of Biophysics, Molecular Biology &amp; Bioinformatics, University of Calcutta.</p>

<p>The completed application form with a copy of the paid challan is to be submitted to the office of the Department by April 16, 2014.</p>

<p>Syllabus for the Test: The questions for the admission test and interview will be based on topics in the following areas:</p>

<p>Mathematical methods, Molecular and Cellular Biophysics, Molecular and Cell Biology, Biochemistry, Genetics, Plant Biology, Developmental biology, Neurobiology, Biotechnology and Bioinformatics.</p>

<p>However, the interview will be primarily based on the research emphasis of the candidate. Candidates must clearly indicate the program in which they want to apply.</p>

<p>Date of Admission test : April 22, 2014 (Tuesday)</p>

<p>Date of publication of selection list for the interview : April 22, 2014(Tuesday)</p>

<p>Date of Interview : April 23, 2014 (Wednesday)</p>

<p>Number of vacancies for the Ph.D. programme : 12</p>

<p>Reservation policy will be followed as per rules.</p>

<p>Candidates with valid NET/GATE/M.Phil. or equivalent qualifications are not required to appear at the admission test but would need to qualify in the interview.</p>

<p>Advertisement:</p>

<p>http://www.caluniv.ac.in/admission%20notice/PHD_BIO_PHYSICS.pdf</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/9666/phylogenomicsphylogenetic-website</guid>
	<pubDate>Mon, 07 Apr 2014 02:17:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/9666/phylogenomicsphylogenetic-website</link>
	<title><![CDATA[Phylogenomics/Phylogenetic website]]></title>
	<description><![CDATA[<div>
<p>Welcome to phylobabble.org, a discussion forum for phylogenetic theory and applications. The primary goal of this forum is to discuss best practice and new developments in phylogenetics. Although we do have a Troubleshooting category for getting feedback on analyses, this is not a help site for running phylogenetics programs.</p>
<p>A great place to chat about phylogenetics for researchers and the broader community of students and science-interested citizens. </p>
</div><p>Address of the bookmark: <a href="http://phylobabble.org/" rel="nofollow">http://phylobabble.org/</a></p>]]></description>
	<dc:creator>Aaryan Lokwani</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/10182/biocodesbioscripts</guid>
	<pubDate>Tue, 22 Apr 2014 20:53:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/10182/biocodesbioscripts</link>
	<title><![CDATA[BioCodes/BioScripts]]></title>
	<description><![CDATA[<p>Over the years most bioinformatics people amass a collection of small utility scripts which make their lives easier. Too often they are kept either in private repositories or as part of a public collection to which noone else can contribute. Biocode is a curated repository of general-use utility scripts.</p>
<p>Algorithms scripts @ https://github.com/jschendel/bioinformatics-algorithms-coursera</p><p>Address of the bookmark: <a href="https://github.com/jorvis/biocode" rel="nofollow">https://github.com/jorvis/biocode</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/44352/bioinformatics-tools-for-genome-assembly</guid>
	<pubDate>Mon, 24 Jul 2023 07:04:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/44352/bioinformatics-tools-for-genome-assembly</link>
	<title><![CDATA[Bioinformatics tools for genome assembly !]]></title>
	<description><![CDATA[<p>There are numerous genome assembly tools available, each with its strengths and weaknesses. Here is a list of some widely used genome assembly tools as of my last update in September 2021:</p><ol>
<li>
<p><span>SPAdes:</span> An assembler specifically designed for single-cell and multi-cell bacterial genomes, as well as small eukaryotic genomes.</p>
</li>
<li>
<p><span>ABySS:</span> A parallelized assembler for large genomes that uses de Bruijn graphs.</p>
</li>
<li>
<p><span>Velvet:</span> Another de Bruijn graph-based assembler optimized for short-read sequencing data.</p>
</li>
<li>
<p><span>SOAPdenovo:</span> A de Bruijn graph-based assembler designed for short reads, widely used for assembling large and complex genomes.</p>
</li>
<li>
<p><span>MaSuRCA:</span> A hybrid assembler that combines data from multiple sequencing technologies, such as Illumina and PacBio.</p>
</li>
<li>
<p><span>Canu:</span> A long-read assembler optimized for PacBio and Oxford Nanopore sequencing data.</p>
</li>
<li>
<p><span>Flye:</span> A long-read assembler suitable for bacterial and small eukaryotic genomes.</p>
</li>
<li>
<p><span>SMARTdenovo:</span> An assembler designed for long reads, particularly suited for PacBio data.</p>
</li>
<li>
<p><span>SPAdes Long Read (SPAdesLR):</span> An extension of SPAdes for long-read data, such as those from PacBio or Nanopore.</p>
</li>
<li>
<p><span>Minia:</span> An assembler optimized for low memory consumption, suitable for small and medium-sized genomes.</p>
</li>
<li>
<p><span>Unicycler:</span> A hybrid assembler that combines short and long reads for circular bacterial genome assembly.</p>
</li>
<li>
<p><span>wtdbg2:</span> A de Bruijn graph assembler for long reads, efficient for very large genomes.</p>
</li>
<li>
<p><span>Shasta:</span> A long-read assembler that uses the Overlap-Layout-Consensus approach, suitable for PacBio and Nanopore data.</p>
</li>
<li>
<p><span>Sparc:</span> An assembler designed to handle noisy long reads from Nanopore sequencing.</p>
</li>
<li>
<p><span>CANA:</span> An assembler for metagenomic data, particularly for complex and diverse microbial communities.</p>
</li>
<li>
<p><span>Ra</span> Assembler: A metagenome assembler for long reads, designed for highly complex metagenomic samples.</p>
</li>
</ol><p>Please note that the field of bioinformatics is constantly evolving, and new assembly tools may have emerged since my last update. Additionally, the performance of these tools can vary depending on the characteristics of the sequencing data and the genome being assembled. When selecting an assembly tool, consider the specific requirements of your project, the available data types, and the computational resources at your disposal. Always refer to the respective tool's documentation and publications for the most up-to-date information and recommendations.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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