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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/4234?offset=1170</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/44370/ncbiblast-2141-now-available</guid>
	<pubDate>Wed, 30 Aug 2023 02:36:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/44370/ncbiblast-2141-now-available</link>
	<title><![CDATA[NCBIBLAST+ 2.14.1 now available]]></title>
	<description><![CDATA[<p><a href="https://www.linkedin.com/feed/hashtag/?keywords=ncbiblast&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7101231946264924160">#NCBIBLAST</a><span>+ 2.14.1 now available with improved documentation, faster and more reliable database downloads, and some bug fixes.&nbsp;</span></p><p>Check out the changes they made.</p><p>They added the&nbsp;<code><span>cleanup-blastdb-volumes.py</span></code>&nbsp;script to remove unused BLAST database volumes. Read the documentation&nbsp;<a href="https://www.ncbi.nlm.nih.gov/books/NBK592857/">here</a>.</p><p>They also switched the protocol from&nbsp;<code><span>ftp</span></code>&nbsp;to&nbsp;<code><span>https</span></code>&nbsp;to access BLAST databases for increased performance and reliability when downloading data from the NCBI with the&nbsp;<code><span>update_blastdb.pl</span></code>&nbsp;script.</p><p>And fixed a few bugs related to downloading data from the NCBI, and&nbsp;<code><span>mt_mode</span></code>&nbsp;crashing&nbsp;<code><span>blastn</span></code>&nbsp;and&nbsp;<code><span>blastx</span></code>.</p><p>Check out the&nbsp;<a href="https://www.ncbi.nlm.nih.gov/books/NBK131777/">release notes</a>.</p><p>Download&nbsp;<a href="https://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/2.14.1/">BLAST+ 2.14.1</a></p><p>Questions or comments? Please write the&nbsp;<a href="https://support.nlm.nih.gov/support/create-case/">BLAST help desk</a>.</p><p><span><span>More info and download:</span>&nbsp;https://blast.ncbi.nlm.nih.gov/doc/blast-news/2023-BLAST-News.html</span></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/11592/xampp-starting-apache-fail-ubuntu</guid>
	<pubDate>Sat, 07 Jun 2014 05:52:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/11592/xampp-starting-apache-fail-ubuntu</link>
	<title><![CDATA[XAMPP: Starting Apache fail Ubuntu]]></title>
	<description><![CDATA[<p>Once you install XAMMP on linux, the most common problem you face is Apache failure. To fix the issues please use following command to first stop and then again start it.</p><p>sudo /etc/init.d/apache2 stop</p><p>sudo /etc/init.d/mysql stop</p><p>sudo /etc/init.d/proftpd stop</p><p>sudo /opt/lampp/lampp start</p><p>&nbsp;</p><p><strong>PhpMyAdmin &ldquo;Wrong permissions on configuration file, should not be world writable!&rdquo;</strong></p><p>Once the Xammp is installed, it might be possible to set up the configuration file in writable mode. Try the following steps:</p><p>Just chmod 0755 the file</p><pre>sudo chmod 0755 config.inc.php</pre>]]></description>
	<dc:creator>Ram Yash Pal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44709/a-step-by-step-guide-to-running-blast-offline</guid>
	<pubDate>Sat, 07 Dec 2024 22:32:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44709/a-step-by-step-guide-to-running-blast-offline</link>
	<title><![CDATA[A Step-by-Step Guide to Running BLAST Offline]]></title>
	<description><![CDATA[<p>BLAST (Basic Local Alignment Search Tool) is a powerful algorithm used to compare nucleotide or protein sequences to sequence databases, identifying regions of similarity. Running BLAST offline provides more control, ensures data security, and allows customization for specific research needs. Here&rsquo;s a detailed guide to set up and run BLAST locally on your system.</p><hr><h3>Step 1: <strong>Install BLAST</strong></h3><ol>
<li>
<p><strong>Download BLAST</strong>:</p>
<ul>
<li>Visit the <a href="https://ftp.ncbi.nlm.nih.gov/blast/executables/blast+/LATEST/">NCBI BLAST+ download page</a> to download the appropriate version for your operating system (Windows, macOS, or Linux).</li>
</ul>
</li>
<li>
<p><strong>Install BLAST</strong>:</p>
<ul>
<li>Extract the downloaded archive. For Linux/Mac, use:
<pre><code>tar -xvzf ncbi-blast-*.tar.gz
cd ncbi-blast-*
</code></pre>
</li>
<li>Add the BLAST binary folder to your system PATH for easier access:
<pre><code>export PATH=$PATH:/path/to/ncbi-blast-*/bin
</code></pre>
</li>
</ul>
</li>
<li>
<p><strong>Verify Installation</strong>:<br /> Run the following command to ensure BLAST is installed correctly:</p>
<pre><code>blastn -version
</code></pre>
</li>
</ol><hr><h3>Step 2: <strong>Prepare a Local Database</strong></h3><p>To run BLAST offline, you&rsquo;ll need a sequence database.</p><ol>
<li>
<p><strong>Download a Pre-Built Database (Optional)</strong>:</p>
<ul>
<li>NCBI provides ready-to-use databases such as <code>nt</code>, <code>nr</code>, and <code>Swiss-Prot</code>. Use the <code>update_blastdb.pl</code> script (bundled with BLAST) to download these:
<pre><code>update_blastdb.pl --decompress nt
</code></pre>
</li>
</ul>
</li>
<li>
<p><strong>Create a Custom Database</strong>:<br /> If you have specific sequences to use as a database:</p>
<ul>
<li>Prepare a FASTA file containing the sequences.</li>
<li>Use <code>makeblastdb</code> to create a database:
<pre><code>makeblastdb -in your_sequences.fasta -dbtype [nucl|prot] -out custom_db
</code></pre>
Replace <code>[nucl|prot]</code> with <code>nucl</code> for nucleotide sequences or <code>prot</code> for protein sequences.</li>
</ul>
</li>
</ol><hr><h3>Step 3: <strong>Prepare the Query Sequence</strong></h3><ul>
<li>Save your query sequence(s) in FASTA format.</li>
<li>Ensure the file is properly formatted, with a header line starting with <code>&gt;</code> followed by the sequence name, and the sequence on subsequent lines.</li>
</ul><p>Example:</p><pre><code>&gt;query_sequence
ATGCGTAGCTAGCGTAGCTAGCTAGCTA
</code></pre><hr><h3>Step 4: <strong>Run BLAST</strong></h3><ol>
<li>
<p><strong>Choose the Appropriate BLAST Tool</strong>:<br /> Depending on your data type:</p>
<ul>
<li><strong>blastn</strong>: For nucleotide-nucleotide searches.</li>
<li><strong>blastp</strong>: For protein-protein searches.</li>
<li><strong>blastx</strong>: Translates nucleotide sequences into proteins and compares them to a protein database.</li>
<li><strong>tblastn</strong>: Compares protein sequences to a nucleotide database.</li>
<li><strong>tblastx</strong>: Translates both nucleotide query and database sequences.</li>
</ul>
</li>
<li>
<p><strong>Run the Command</strong>:<br /> Example command for <code>blastn</code>:</p>
<pre><code>blastn -query query.fasta -db custom_db -out results.txt -outfmt 6 -evalue 1e-5
</code></pre>
<p><strong>Explanation of Parameters</strong>:</p>
<ul>
<li><code>-query</code>: Specifies the query file.</li>
<li><code>-db</code>: Points to the local database.</li>
<li><code>-out</code>: Output file name.</li>
<li><code>-outfmt</code>: Output format (e.g., 6 for tabular format).</li>
<li><code>-evalue</code>: E-value cutoff for significance.</li>
</ul>
</li>
</ol><hr><h3>Step 5: <strong>Interpret Results</strong></h3><ol>
<li>
<p><strong>Output Formats</strong>:</p>
<ul>
<li><strong>Default (outfmt 0)</strong>: Human-readable format.</li>
<li><strong>Tabular (outfmt 6)</strong>: Includes fields like query ID, subject ID, percent identity, alignment length, etc.</li>
</ul>
</li>
<li>
<p><strong>Analyze Results</strong>:<br /> Use tools like <code>grep</code>, Python, or R to parse and filter results for downstream analysis.</p>
</li>
</ol><hr><h3>Step 6: <strong>Optimize Performance</strong></h3><p>For large datasets, BLAST can be resource-intensive. To improve performance:</p><ol>
<li>
<p><strong>Multithreading</strong>:<br /> Use the <code>-num_threads</code> option to leverage multiple CPU cores:</p>
<pre><code>blastn -query query.fasta -db custom_db -out results.txt -num_threads 4
</code></pre>
</li>
<li>
<p><strong>Database Subsetting</strong>:<br /> Split large databases into smaller chunks for faster searches.</p>
</li>
<li>
<p><strong>Adjust Parameters</strong>:</p>
<ul>
<li>Lower the <code>-evalue</code> threshold for stricter matches.</li>
<li>Use <code>-max_target_seqs</code> to limit the number of results per query.</li>
</ul>
</li>
</ol><hr><h3>Step 7: <strong>Update Databases (Optional)</strong></h3><p>If using NCBI databases, regularly update them to ensure the inclusion of the latest sequences:</p><pre><code>update_blastdb.pl --decompress nt
</code></pre><hr><h3>Conclusion</h3><p>Running BLAST offline is a straightforward process that offers flexibility and security for bioinformaticians working with sensitive data. By following this guide, you can harness the power of BLAST to analyze sequences efficiently and gain valuable biological insights.</p><p>For advanced use cases, explore BLAST&rsquo;s customization options, such as custom scoring matrices, filtering, and iterative searches with tools like PSI-BLAST. Happy BLASTing!</p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/12288/genomic-medicine-bruce-korf-2014</guid>
	<pubDate>Tue, 24 Jun 2014 07:58:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/12288/genomic-medicine-bruce-korf-2014</link>
	<title><![CDATA[Genomic Medicine - Bruce Korf (2014)]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/FYldIrsXHKw" frameborder="0" allowfullscreen></iframe>May 21, 2014 - Current Topics in Genome Analysis 2014
A lecture series covering contemporary areas in genomics and bioinformatics. More: http://www.genome.gov/COURSE2014]]></description>
	
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/12594/faculty-positions-at-central-university-of-punjab</guid>
  <pubDate>Mon, 07 Jul 2014 23:33:33 -0500</pubDate>
  <link></link>
  <title><![CDATA[Faculty Positions at Central University of Punjab]]></title>
  <description><![CDATA[
<p>Faculty Positions: Rolling/Open Advertisement Advt.No: T-10 (2013)</p>

<p>Pay Scale: Pay Band Rs.15600-39100 with AGP of Rs.6,000/-</p>

<p>Essential Qualifications for Professors, Associate Professors, and Assistant Professors: As per “UGC REGULATIONS ON MINIMUM QUALIFICATIONS FOR APPOINTMENT OF TEACHERS AND OTHER ACADEMIC STAFF IN UNIVERSITIES AND COLLEGES AND MEASURES FOR THE MAINTENANCE OF STANDARDS IN HIGHER EDUCATION 2010“ and the 2nd Amendments to the regulation issued in June 2013.</p>

<p>For details: http://www.ugc.ac.in/oldpdf/regulations/revised_finalugcregulationfinal10.pdf http://www.ugc.ac.in/pdfnews/8539300_English.pdf and University rules.</p>

<p>Procedure to apply:</p>

<p>Application forms along with API form complete in all respect along with necessary documents and application fee of Rs. 500/-. (Rs. 250/- for Scheduled Caste/Scheduled Tribe/Person with disabilities) should be sent to:</p>

<p>Registrar, Central University of Punjab, City Campus, Mansa Road, Bathinda-151001</p>

<p>For more info visit: http://www.centralunipunjab.com/Teaching/Final%20Details-t10-2013.pdf, http://www.centralunipunjab.com/Teaching/Advertisement-t10-2013.jpg</p>

<p>Last Apply Date: 31 Dec 2014</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/12787/integrative-genomics-viewer-igv-tutorial</guid>
	<pubDate>Sat, 12 Jul 2014 15:16:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/12787/integrative-genomics-viewer-igv-tutorial</link>
	<title><![CDATA[Integrative Genomics Viewer (IGV) tutorial]]></title>
	<description><![CDATA[<p>The <a href="http://www.broadinstitute.org/igv/">Integrative Genomics Viewer (IGV)</a> from the Broad Center allows you to view several types of data files involved in any NGS analysis that employs a reference genome, including how reads from a dataset are mapped, gene annotations, and predicted genetic variants.</p>
<p>http://www.broadinstitute.org/igv/</p><p>Address of the bookmark: <a href="https://wikis.utexas.edu/display/bioiteam/Integrative+Genomics+Viewer+%28IGV%29+tutorial" rel="nofollow">https://wikis.utexas.edu/display/bioiteam/Integrative+Genomics+Viewer+%28IGV%29+tutorial</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/12963/cosmos-our-workflow-management-system-for-ngs-data</guid>
	<pubDate>Wed, 23 Jul 2014 07:29:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/12963/cosmos-our-workflow-management-system-for-ngs-data</link>
	<title><![CDATA[COSMOS, our workflow management system for NGS data]]></title>
	<description><![CDATA[<p><strong>COSMOS</strong>, our Python-based management system for implementing large-scale parallel workflows focusing on, but not restricted to, large-scale short-read "NGS" sequencing data is open-access published via <a href="http://bioinformatics.oxfordjournals.org/content/early/2014/06/29/bioinformatics.btu385.abstract">Advance Access</a> in <em>Bioinformatics</em> (<a href="http://scholar.harvard.edu/lancaster/publications/cosmos-python-library-massively-parallel-workflows">Gafni et al. 2014</a>).&nbsp; It is also available for download for non-commercial academic and research purposes at:</p>
<p><strong>&nbsp;<a href="http://cosmos.hms.harvard.edu/">http://cosmos.hms.harvard.edu/</a></strong>.</p><p>Address of the bookmark: <a href="https://cosmos.hms.harvard.edu/" rel="nofollow">https://cosmos.hms.harvard.edu/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/12995/national-center-for-bioinformatics-ncb</guid>
  <pubDate>Wed, 23 Jul 2014 14:10:49 -0500</pubDate>
  <link></link>
  <title><![CDATA[National Center for Bioinformatics (NCB)]]></title>
  <description><![CDATA[
<p>NCB is offering M.Phil and Ph.D programs in the area of Bioinformatics. The major goal of NCB is to promote quality training and research in the area of Bioinformatics. Bioinformatics originated as a cross-disciplinary field as the need for computational sections to research problem raised in biomedicine. </p>

<p>More at http://ncb.qau.edu.pk/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/13276/senior-research-fellow-at-nit-rourkela</guid>
  <pubDate>Wed, 30 Jul 2014 00:53:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Research Fellow at NIT, Rourkela]]></title>
  <description><![CDATA[
<p>NATIONAL INSTITUTE OF TECHNOLOGY, ROURKELA – 769 008(ORISSA)<br />SPONSORED RESEARCH, INDUSTRIAL CONSULTANCY &amp; CONTINUING EDUCATION</p>

<p>ADVERTISEMENT NO: NITR/SR/CH-BIF/2014/30</p>

<p>Applications are invited on prescribed format for the following assignment in a purely time bound research project undertaken in the Department of Biotechnology &amp; Medical Engineering of the Institute.</p>

<p>1. Name of the Temporary Post : Senior Research Fellow-01<br />2. Name of the Research Project: “ Bioinformatics Infrastructure Facility (BIF)”<br />3. Name of the Sponsoring Agency: DBT, Government of India, 4 Tenure of the Project : 12th Five year Plan<br />5 Tenure of the Assignment : 01 year [Likely to be extended for 04 more years]<br />6 Job Description : BIF Maintenance and Active Research in Bioinformatics<br />7. Consolidated monthly compensation / Fellowship: Rs.18,000/- P.M.</p>

<p>8. Essential Qualifications and experience: B.Tech with valid GATE Score or M.Tech degree in Biotechnology/Bioinformatics/Computer Science/Computational Biology<br />9. Desirable Qualifications/ Experiences: Experience of Programming in PERL,R, Python, Unix and Visual Studio + Knowledge in NGS data analysis work flows ,WGS and statistical packages such as CRAN-R,MATLAB etc.</p>

<p>10. Accommodation : Bachelor accommodation in the Institute may be provided subject to availability.<br />11. For technical information on the project, the candidate may contact the Principal Investigator at the following address:</p>

<p>Name : Prof. Mukesh K Gupta<br />Address : Dept. of Biotechnology &amp; Medical Engineering,<br />N.I.T.Rourkela-769 008<br />Telephone No : 0661-2462294<br />E-mail : guptam@nitrkl.ac.in</p>

<p>Eligible persons may apply in the prescribed format (available in the Institute Website)affixed with coloured photographs to be submitted in duplicate along with photo copies of relevant certificates, grade/ mark sheets, publications etc., to Asst. Registrar, SRICCE,<br />National Institute of Technology, Rourkela–769 008 before 22.08.2014. The cover should be super- scribed clearly the post applied for &amp; Name of the Project.</p>

<p>Mere possession of minimum qualification does not guarantee invitation to the interview.<br />Candidates will be short listed based on merit and need of the project.</p>

<p>Advertisement:</p>

<p>http://www.nitrkl.ac.in/IntraWeb/Jobs_Tenders/Jobs/ProjectFellowship/2014/141707192838_1.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/13510/studentship-and-traineeship-in-bioinformatics-at-barkatullah-university-bhopal</guid>
  <pubDate>Thu, 07 Aug 2014 16:57:00 -0500</pubDate>
  <link></link>
  <title><![CDATA[Studentship and Traineeship in Bioinformatics at Barkatullah University, Bhopal]]></title>
  <description><![CDATA[
<p>Department of Biotechnology &amp; Bioinformatics Center<br />Barkatullah University, Bhopal – 462 026</p>

<p>Studentship and Traineeship in Bioinformatics</p>

<p>Applications are invited on plain paper from suitable candidates for Studentship and Traineeship (One each) at Bioinformatics Sub-Center as detailed below:</p>

<p>1. Studentship: Studentship is for those who have completed M. Sc. Degrees in Life Science.</p>

<p>Number of seats : One</p>

<p>Duration : Six months</p>

<p>Eligibility : Passed M.Sc. degree in Life Sciences.</p>

<p>Fellowship : Rs. 5000/- (Five thousand only) per month</p>

<p>2. Traineeship: Traineeship is for those who have completed M. Sc. Degrees in Life Science/Registered Ph. D. student in Life Sciences.</p>

<p>Number of seats : One</p>

<p>Duration : Six months</p>

<p>Eligibility : Passed M.Sc. degree in Life Sciences/ Registered Ph. D. student in Life Sciences</p>

<p>Fellowship : Rs. 5000/- (Five thousand only) per month</p>

<p>Preferences will be given to person who has experience in Bioinformatics and Computer<br />sciences. The application along with detailed bio-data should reach the undersigned, on or before 25th August 2014. Both, the studentship and the traineeship are temporary, will be discontinued after the six months from the date of Joining. It may be discontinued in-between without any notice, if the work is not found satisfactory.</p>

<p>Advertisement www.bioinfobubpl.nic.in/Advertisement_st.pdf</p>
]]></description>
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