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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/4234?offset=420</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/37198/understanding-blastn-output-format-6</guid>
	<pubDate>Wed, 27 Jun 2018 18:38:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/37198/understanding-blastn-output-format-6</link>
	<title><![CDATA[Understanding BLASTn output format 6 !]]></title>
	<description><![CDATA[<h3 id="sites-page-title-header" style="text-align: left;"><span>BLASTn output format 6</span></h3><div id="sites-canvas-main"><div id="sites-canvas-main-content"><div dir="ltr"><div><div><em>BLASTn</em> maps DNA against DNA, for example gene sequences against a reference genome<br /><br /><code><strong>blastn</strong>  -query <span>genes.ffn</span>  -subject <span>genome.fna</span>  -outfmt <strong>6</strong></code></div><h2>BLASTn tabular output format 6</h2>
<p><strong>Column headers:</strong><br /><code>qseqid sseqid pident length mismatch gapopen qstart qend sstart send evalue bitscore</code><br /></p>
<table border="1" cellspacing="0">
<tbody>
<tr>
<td> 1.</td>
<td> qseqid</td>
<td> query (e.g., gene) sequence id</td>
</tr>
<tr>
<td> 2.</td>
<td> sseqid</td>
<td> subject (e.g., reference genome) sequence id</td>
</tr>
<tr>
<td> 3.</td>
<td> pident</td>
<td> percentage of identical matches</td>
</tr>
<tr>
<td> 4.</td>
<td> length</td>
<td> alignment length</td>
</tr>
<tr>
<td> 5.</td>
<td> mismatch</td>
<td> number of mismatches</td>
</tr>
<tr>
<td> 6.</td>
<td> gapopen</td>
<td> number of gap openings</td>
</tr>
<tr>
<td> 7.</td>
<td> qstart</td>
<td> start of alignment in query</td>
</tr>
<tr>
<td> 8.</td>
<td> qend</td>
<td> end of alignment in query</td>
</tr>
<tr>
<td> 9.</td>
<td> sstart</td>
<td> start of alignment in subject</td>
</tr>
<tr>
<td> 10.</td>
<td> send</td>
<td> end of alignment in subject</td>
</tr>
<tr>
<td> 11.</td>
<td> evalue</td>
<td> <a href="http://www.metagenomics.wiki/tools/blast/evalue">expect value</a></td>
</tr>
<tr>
<td> 12.</td>
<td> bitscore</td>
<td> <a href="http://www.metagenomics.wiki/tools/blast/evalue"><strong>bit score</strong></a></td>
</tr>
</tbody>
</table>
<p><strong><br /></strong></p>
</div><h2><a name="TOC-Define-your-own-output-format" id="TOC-Define-your-own-output-format"></a>Define your own output format</h2><div><em>by adding the option -outfmt, as for example: </em><strong><br /></strong></div>
<p><code><strong>-outfmt</strong> <strong>"6</strong> <span>qseqid sseqid pident qlen length mismatch gapope evalue bitscore</span><strong>"</strong></code><br /><br /><em><strong>supported format specifiers are:</strong></em><br /><code>qseqid    </code>Query Seq-id<br /><code>qgi       </code>Query GI<br /><code>qacc      </code>Query accesion<br /><code>qaccver   </code>Query accesion.version<br /><code>qlen      </code>Query sequence length<br /><code>sseqid    </code>Subject Seq-id<br /><code>sallseqid </code>All subject Seq-id(s), separated by a ';'<br /><code>sgi       </code>Subject GI<br /><code>sallgi    </code>All subject GIs<br /><code>sacc      </code>Subject accession<br /><code>saccver   </code>Subject accession.version<br /><code>sallacc   </code>All subject accessions<br /><code>slen      </code>Subject sequence length<br /><code>qstart    </code>Start of alignment in query<br /><code>qend      </code>End of alignment in query<br /><code>sstart    </code>Start of alignment in subject<br /><code>send      </code>End of alignment in subject<br /><code>qseq      </code>Aligned part of query sequence<br /><code>sseq      </code>Aligned part of subject sequence<br /><code>evalue    </code>Expect value<br /><code>bitscore  </code>Bit score<br /><code>score     </code>Raw score<br /><code>length    </code>Alignment length<br /><code>pident    </code>Percentage of identical matches<br /><code>nident    </code>Number of identical matches<br /><code>mismatch  </code>Number of mismatches<br /><code>positive  </code>Number of positive-scoring matches<br /><code>gapopen   </code>Number of gap openings<br /><code>gaps      </code>Total number of gaps<br /><code>ppos      </code>Percentage of positive-scoring matches<br /><code>frames    </code>Query and subject frames separated by a '/'<br /><code>qframe    </code>Query frame<br /><code>sframe    </code>Subject frame<br /><code>btop      </code>Blast traceback operations (BTOP)<br /><code>staxids   </code>Subject Taxonomy ID(s), separated by a ';'<br /><code>sscinames </code>Subject Scientific Name(s), separated by a ';'<br /><code>scomnames </code>Subject Common Name(s), separated by a ';'<br /><code>sblastnames </code>Subject Blast Name(s), separated by a ';'   (in alphabetical order)<br /><code>sskingdoms  </code>Subject Super Kingdom(s), separated by a ';'     (in alphabetical order) <br /><code>stitle      </code>Subject Title<br /><code>salltitles  </code>All Subject Title(s), separated by a '&lt;&gt;'<br /><code>sstrand   </code>Subject Strand<br /><code>qcovs     </code>Query Coverage Per Subject<br /><code>qcovhsp   </code>Query Coverage Per HSP<br /><strong><br /><em>default values are:</em></strong><br /><code><code>-outfmt "</code>6 qseqid sseqid pident length mismatch gapopen qstart qend sstart send evalue bitscore"</code></p>
</div></div></div>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/11494/postdoc-position-at-centre-mediterraneen-de-medecine-moleculaire-nice-france</guid>
  <pubDate>Wed, 04 Jun 2014 07:20:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoc position at Centre Méditerranéen de Médecine Moléculaire - Nice - France]]></title>
  <description><![CDATA[
<p>The research group of Dr. Michele Trabucchi at the Centre Méditerranéen de Médecine Moléculaire (C3M) at INSERM U1065 (University of Nice Sophia-Antipolis, France) is seeking candidates for a Postdoctoral fellow position to start on October 2014 for 3 years funded by FRM (Fondation pour la Recherche Médicale).<br />The broad interest of the lab is in understanding the expression control and function of small RNAs in activated myeloid cells (visit our webpage to check research interests and publications of the group : http://www.unice.fr/c3m/EN/Equipe10.html ). </p>

<p>The work will focus on the functional studies of small RNAs by using next-generation sequencing approaches.<br /> <br />Candidates should hold a Ph.D. degree and have strong background in bioinformatics.<br />The University of Nice Sophia-Antipolis provides a wide range of facilities and training essential for biomedical research.</p>

<p>Interested applicants should send a PDF with a cover letter stating research interests and qualifications, an updated CV, a summary of previous research experience and contact information for two references to Michele Trabucchi ( mtrabucchi@unice.fr )</p>

<p>Homepage: http://www.unice.fr/c3m/EN/Equipe10.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43424/rest-api</guid>
	<pubDate>Mon, 04 Oct 2021 12:46:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43424/rest-api</link>
	<title><![CDATA[REST API]]></title>
	<description><![CDATA[<h3 id="PSIBLASTHelpandDocumentation-RESTAPI">REST API</h3><p>The&nbsp;<a href="https://www.ebi.ac.uk/seqdb/confluence/pages/viewpage.action?pageId=68165098">Representational State Transfer (REST)</a>&nbsp;sample clients are provided for a number of programming languages. For details of how to use these clients,&nbsp;<a href="https://github.com/ebi-wp/webservice-clients">download</a>&nbsp;the client and run the program without any arguments.</p><div><table><colgroup><col><col><col></colgroup>
<thead>
<tr><th scope="col">
<div>Language</div>
</th><th scope="col">
<div>Download</div>
</th><th scope="col">
<div>Requirements</div>
</th></tr>
</thead>
<tbody>
<tr><th>Perl</th>
<td><a href="https://raw.githubusercontent.com/ebi-wp/webservice-clients/master/perl/psiblast.pl">psiblast.pl</a></td>
<td><a href="http://search.cpan.org/perldoc?LWP">LWP</a>&nbsp;and&nbsp;<a href="http://search.cpan.org/perldoc?XML::Simple">XML::Simple</a></td>
</tr>
<tr><th colspan="1">
<h4 id="PSIBLASTHelpandDocumentation-Python">Python</h4>
</th>
<td colspan="1">
<p><a href="https://raw.githubusercontent.com/ebi-wp/webservice-clients/master/python/psiblast.py">psiblast.py</a></p>
</td>
<td colspan="1"><a href="https://pypi.python.org/pypi/xmltramp2/3.0.10" title="https://pypi.python.org/pypi/xmltramp2/3.0.10">xmltramp2</a></td>
</tr>
</tbody>
</table></div><p>For details see&nbsp;<a href="https://www.ebi.ac.uk/seqdb/confluence/display/JDSAT/Environment+setup+for+REST+Web+Services">Environment setup for REST Web Services</a>&nbsp;and&nbsp;<a href="https://www.ebi.ac.uk/seqdb/confluence/display/JDSAT/Examples+for+Perl+REST+Web+Services+Clients">Examples for Perl REST Web Services Clients</a>&nbsp;pages.</p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/11611/ten-recommendations-for-creating-usable-bioinformatics-command-line-software</guid>
	<pubDate>Sun, 08 Jun 2014 10:06:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/11611/ten-recommendations-for-creating-usable-bioinformatics-command-line-software</link>
	<title><![CDATA[Ten recommendations for creating usable bioinformatics command line software]]></title>
	<description><![CDATA[<p><span>Bioinformatics software varies greatly in quality. In terms of usability, the command line interface is the first experience a user will have of a tool. Unfortunately, this is often also the last time a tool will be used. Here I present ten recommendations for command line software author&rsquo;s tools to follow, which I believe would greatly improve the uptake and usability of their products, waste less user&rsquo;s time, and improve the quality of scientific analyses.</span></p><p>Address of the bookmark: <a href="http://www.gigasciencejournal.com/content/2/1/15?utm_content=buffer25ee0&amp;utm_medium=social&amp;utm_source=twitter.com&amp;utm_campaign=buffer" rel="nofollow">http://www.gigasciencejournal.com/content/2/1/15?utm_content=buffer25ee0&amp;utm_medium=social&amp;utm_source=twitter.com&amp;utm_campaign=buffer</a></p>]]></description>
	<dc:creator>RAJESH DETROJA</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36893/beap-blast-extension-and-assembly-program</guid>
	<pubDate>Mon, 11 Jun 2018 04:52:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36893/beap-blast-extension-and-assembly-program</link>
	<title><![CDATA[BEAP: Blast Extension and Assembly Program]]></title>
	<description><![CDATA[The Blast Extension and Assembly Program (BEAP) is a computer program that uses a short starting DNA fragment, often a EST or partial gene segment, as "primer", to recursively blast nucleotide databases in an attempt to obtain all sequences that overlaps, directly or indirectly, with the "primer" therefore help to "extend" the length of the original sequence for constructing a "full length" sequence for functional analysis, or at least to obtain neighboring regions of the segment for SNP discovery and linkage disequilibrium analysis. The confidence of assembling the resulting sequences is achieved by using a known genome, such as human genome, as a reference.
 
https://www.animalgenome.org/tools/beap/<p>Address of the bookmark: <a href="https://www.animalgenome.org/tools/beap/" rel="nofollow">https://www.animalgenome.org/tools/beap/</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/12206/bioinformatics-algorithms-tutorials</guid>
	<pubDate>Tue, 24 Jun 2014 00:10:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/12206/bioinformatics-algorithms-tutorials</link>
	<title><![CDATA[Bioinformatics algorithms tutorials]]></title>
	<description><![CDATA[<p>Useful bioinformatics tutorial, such as</p>
<p>De Bruijn Graphs for NGS Assembly<br>Algorithms for PacBio Reads<br>Software and Hardware Concepts for Bioinformatics<br>Finding us in Homolog.us (Search Algorithms)<br>NGS Genome and RNAseq Assembly - a Hands on Primer<br>Introduction to PERL, Python, R and C/C++ for Bioinformatics</p><p>Address of the bookmark: <a href="http://www.homolog.us/Tutorials/" rel="nofollow">http://www.homolog.us/Tutorials/</a></p>]]></description>
	<dc:creator>John Parker</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/12567/workshop-on-molecular-modeling-and-dynamics-simulation-analyses</guid>
  <pubDate>Fri, 04 Jul 2014 13:38:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[Workshop On Molecular Modeling and Dynamics Simulation Analyses]]></title>
  <description><![CDATA[
<p>Workshop On Molecular Modeling and Dynamics Simulation Analyses</p>

<p>August1-2, 2014</p>

<p>Organised By</p>

<p>Centre of Excellence in Bioinformatics<br />Bioinformatics Infrastructure Facility<br />Department of Biochemistry<br />University of Lucknow<br />Lucknow-226007</p>

<p>Course Contents</p>

<p>Molecular Modeling<br /> Homology Modeling<br />Molecular Docking<br />Post-structural Analyses</p>

<p>Molecular Dynamics (MD)<br />Simulation<br />Linux Introduction<br />Gromacs Installation</p>

<p>MD Simulation of Protein ligand complex<br />Analyses of MD<br />Trajectories<br />Visualization of Dynamic<br />complexes</p>

<p>Important Dates</p>

<p>Registration Begins June 25, 2014<br />Registration Closes July 25, 2014</p>

<p>Brochure : www.lkouniv.ac.in/conference/Brochure_August,%202014.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/12944/orione-%E2%80%93-a-web-based-framework-for-ngs-analysis-in-microbiology</guid>
	<pubDate>Wed, 23 Jul 2014 06:43:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/12944/orione-%E2%80%93-a-web-based-framework-for-ngs-analysis-in-microbiology</link>
	<title><![CDATA[Orione – a web-based framework for NGS analysis in microbiology]]></title>
	<description><![CDATA[<p>End-to-end NGS microbiology data analysis requires a diversity of tools covering bacterial resequencing, de novo assembly, scaffolding, bacterial RNA-Seq, gene annotation and metagenomics. However, the construction of computational pipelines that use different software packages is difficult due to a lack of interoperability, reproducibility, and transparency. To overcome these limitations researchers at <a href="http://www.crs4.it/" target="_blank">CRS4</a>, Italy have developed Orione, a Galaxy-based framework consisting of publicly available research software and specifically designed pipelines to build complex, reproducible workflows for NGS microbiology data analysis. Enabling microbiology researchers to conduct their own custom analysis and data manipulation without software installation or programming, Orione provides new opportunities for data-intensive computational analyses in microbiology and metagenomics.</p>
<p>Reference</p>
<p>Cuccuru G1, Orsini M, Pinna A, Sbardellati A, Soranzo N, Travaglione A, Uva P, Zanetti G, Fotia G. (2014)<strong> Orione, a web-based framework for NGS analysis in microbiology.</strong> <em>Bioinformatics</em> [Epub ahead of print]. [<a href="http://bioinformatics.oxfordjournals.org/content/early/2014/03/10/bioinformatics.btu135.long" target="_blank">article</a>]</p><p>Address of the bookmark: <a href="http://orione.crs4.it/" rel="nofollow">http://orione.crs4.it/</a></p>]]></description>
	<dc:creator>Martin Jones</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/12883/breaking-chromosomes-to-study-cancer</guid>
	<pubDate>Fri, 18 Jul 2014 05:42:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/12883/breaking-chromosomes-to-study-cancer</link>
	<title><![CDATA[Breaking chromosomes to study cancer !!!]]></title>
	<description><![CDATA[<p>Chromosomes are present in every cell of our body and they contain the information the body needs to develop and function properly. This information is carried in genes that are arranged along the chromosomes. There are usually 46 chromosomes in every cell. These chromosomes come in pairs, one from our mother and one from our father. The chromosomes can be sorted into 23 pairs by looking at them down a microscope.</p><p>Most people who have a balanced translocation have the right amount of chromosome material but it has been rearranged in some way. This may happen if two chromosomes swap pieces (a reciprocal translocation). In other cases two whole chromosomes may become stuck together (a Robertsonian translocation). This page describes what happens when someone has a reciprocal translocation. <br /><br />Reciprocal chromosomal translocations occur following double-strand breaks (DSBs) in DNA when a section of one chromosome is exchanged with that of another, non-homologous chromosome. These exchanges may produce a dysfunctional fusion gene that disrupts cell growth and survival pathways, such as the translocations seen in leukemia and childhood sarcomas. <br /><br />Chromosomal translocations have been well studied in cancer cell lines which are associated with two types of cancer, acute myeloid leukemia and Ewing's sarcoma, but determining how they contribute to cancer development is complicated by additional mutations and altered gene expression profiles in these cultured cells. Now, Juan Carlos Ramirez, head of the Viral Vector Facility at the Fundacion Centro Nacional de Investigaciones Cardiovasculares (CNIC) and his colleagues Raul Torres at CNIC and Sandra Rodriguez-Peralez at the Spanish National Cancer Center (CNIO) in Madrid, Spain have used a new genome editing tool, CRISPR-Cas9, to induce chromosomal translocations for the first time in a human cell line and in primary cells. The study's authors conclude by stating that the use of this technology will allow for the clarification of how and why chromosomal translocation occurs, which without doubt will allow new anti-cancer therapeutic strategies to be tackled.</p><p>Using RNA-Guided Endonuclease (RGEN) technology or CRISPR/Cas9 genome engineering technology, CNIO and CNIC researchers have shown that it is possible to obtain such chromosomal translocations. The CRISPR-Cas9 system is extremely simple to introduce a cut at the desired locus, easier to design, and cheaper than many other systems. Using the CRISPR-Cas9 system, Ramirez and his colleagues reproduced the translocations observed in Ewing&rsquo;s Sarcoma (ES) and Acute Myeloid Leukemia (AML) patient cell lines in HEK293 cells and also generated the ES translocation in human mesenchymal stem cells and the AML translocation in umbilical cord blood cells.</p><p>By focusing on chromosomal translocation without the confounding characteristics of established cell lines, these new cells lines should help answer the fundamental question of what causes a cell to become cancerous. Ramirez and his team now look forward to modeling other chromosome translocations in a variety of cell types.</p><p>Reference:</p><p>http://en.wikipedia.org/wiki/Chromosomal_translocation</p><p>http://www.nature.com/ncomms/2014/140603/ncomms4964/abs/ncomms4964.html<br /><br /></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/12940/ra-at-iiser-kolkata-computational-biologybioinformatics</guid>
  <pubDate>Wed, 23 Jul 2014 06:24:28 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA at IISER Kolkata Computational Biology/Bioinformatics]]></title>
  <description><![CDATA[
<p>Applications are invited from suitable candidates for research associate (post-doc; Rs. 22000-32000)/research fellow (16000-18000)/project assistant (Rs. 10000-14000) positions in the Department of Biological Sciences, Indian Institute for Science Education and Research Kolkata in the extramural project. Condition to satisfactory performance, the positions is for a period of upto 2 years (or funding of the project).</p>

<p>Brief description: We are looking for suitable candidates in the area o computational biology/bioinformatics/genomics or related field for next-generation sequencing (NGS) data analysis for small-RNAs, RNA-Seq and targeted resequencing of plants and associated organisms. We are an interdisciplinary group where projects equally involve bioinformatics and systems biology (specially microarrays and next-generation sequencing (NGS) data analysis and its use), along with plant molecular biology, genetic engineering, field biology, and analytical plant chemistry for understanding response of plants to biotic stresses.</p>

<p>Essential qualification: MSc/BTech/MTech/PhD (or other suitable qualification) in disciplines preferable to bioinformatics, computational biology, computer application (or equivalent)/ ‘Advance Post-Graduate Diploma in Bioinformatics’. Proficiency in programming languages (such as Perl, C++) and/or statistics (proficient in R for example) is compulsory.</p>

<p>Desirable qualification: Experience in the field of genomics e.g. microarray analysis, NGS, genome annotation, database development and management, software development, systems and network biology (or related fields) will be preferred.</p>

<p>Application process: Applications should contain CV along with brief description (maximum 1 page) of research conducted (highlighting skills and experience) till now. Applications should be sent by e-mail to Shree Prakash Pandey, Department of Biological Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur Campus, WB, India within 14 days of this advertisement.</p>

<p>E-mail: sppiiserkol@gmail.com, sppandey@iiserkol.ac.in</p>

<p>Advertisement:</p>

<p>http://www.iiserkol.ac.in/announcements/adverts/671-advt_ra_shree_prakash_july_2014</p>
]]></description>
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