<?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/4234?offset=1250</link>
	<atom:link href="https://bioinformaticsonline.com/related/4234?offset=1250" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/44640/new-blast-core-nucleotide-database-core-nt</guid>
	<pubDate>Tue, 13 Aug 2024 07:12:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/44640/new-blast-core-nucleotide-database-core-nt</link>
	<title><![CDATA[New BLAST Core Nucleotide Database (core_nt)]]></title>
	<description><![CDATA[<p><span>The Core Nucleotide Database (core_nt) is now the default nucleotide BLAST database. Core_nt is also available on the command line. You get faster searches &amp; more focused results.</span></p><p><span><span>Core_nt contains the same eukaryotic transcript and gene-related sequences as nt. The core_nt database is nt without most eukaryotic chromosome sequences. Most nucleotide BLAST searches with core_nt will be similar to the nt database. However, core_nt is better than nt for accomplishing your most common BLAST search goals, such as identifying gene-related sequences like transcript sequences and complete bacterial chromosomes. This is because, in recent years, nt has acquired more low-relevance, non-annotated, and non-gene&nbsp;<span>content.&nbsp;</span></span></span></p><p><span> Learn more:&nbsp;https://ncbiinsights.ncbi.nlm.nih.gov/2024/07/18/new-blast-core-nucleotide-database/</span></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/11582/monitor-running-jobs-on-linux-server</guid>
	<pubDate>Fri, 06 Jun 2014 16:18:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/11582/monitor-running-jobs-on-linux-server</link>
	<title><![CDATA[Monitor running jobs on Linux server]]></title>
	<description><![CDATA[<p>You as a bioinformatican run lots of program on your servers. Sometime the shared server is also used by your colleague. If server is busy you sometime need to check the running programs and want to monitor the running programs as well. The "top" command will come in handy when you need to find out if things are still running, how long they&rsquo;ve been running, or how much memory is being used.<br /><br />&lsquo;top&rsquo; is very simple to run: type<br /><br />%% top<br /><br />You&rsquo;ll get a screen that looks like this, and is updated regularly:<br /><br /><img src="http://bioinformaticsonline.com/mod/photo/top.png" width="659" height="582" alt="image" style="border: 0px;"><br />Simple, right? Heh.<br /><br />First! Note that you can use &lsquo;q&rsquo; or &lsquo;CTRL-C&rsquo; to exit from &lsquo;top&rsquo;.<br /><br />Now let&rsquo;s read and understand at each line independently.<br /><br />The first line:<br /><br />top - 23:00:48 up 39 days,&nbsp; 2 user,&nbsp; load average: 0.00, 0.00, 0.00<br /><br />The first line tells you the current time, how long the machine has been up, how many users are logged in, and the short/medium/long-term compute load on the machine. If you run something for a long time, you&rsquo;ll see these numbers go up. Right now, the machine is basically just sitting there, so these are all close to 0.<br /><br />The second line:</p><p>Tasks:&nbsp; 239 total,&nbsp;&nbsp; 1 running,&nbsp; 238 sleeping,&nbsp;&nbsp; 0 stopped,&nbsp;&nbsp; 0 zombie<br /><br />This line tells you how many processes are running. If you are using laptops machines it&rsquo;s not so interesting because you really are the only one using this machine.<br /><br />Cpu(s):&nbsp; 0.0%us,&nbsp; 0.0%sy,&nbsp; 0.0%ni,100.0%id,&nbsp; 0.0%wa,&nbsp; 0.0%hi,&nbsp; 0.0%si,&nbsp; 0.0%st<br /><br />This line contains the CPU load. The first two numbers are how busy the system is doing computation (&ldquo;us&rdquo; stands for &ldquo;user&rdquo;) and how busy the system is doing system-y things like accessing disks or network (&ldquo;sy&rdquo; stands for &ldquo;system&rdquo;). We&rsquo;ll talk more about this later.<br /><br />Mem:&nbsp;&nbsp; 49457320k total,&nbsp;&nbsp;&nbsp; 3492174k used,&nbsp; 14535596k free,&nbsp;&nbsp;&nbsp; 1435148k buffers<br /><br />This should be easy to understand &ndash; how much memory you&rsquo;re using! <br /><br />Swap:&nbsp;&nbsp; 539356k total,&nbsp;&nbsp; 28332k used,&nbsp;&nbsp; 836562k free,&nbsp;&nbsp;&nbsp; 29862014k cached<br /><br />Swap is just on-disk memory that can be used to &ldquo;swap&rdquo; out programs from main memory. Again, we&rsquo;ll talk about this later.:<br /><br />PID USER&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; PR&nbsp; NI&nbsp; VIRT&nbsp; RES&nbsp; SHR S %CPU %MEM&nbsp;&nbsp;&nbsp; TIME+&nbsp; COMMAND<br />&nbsp; 1 root&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 39 &nbsp; 19&nbsp; 0&nbsp; 0&nbsp; 0 S&nbsp; 0.0&nbsp; 0.0&nbsp;&nbsp; 246:57.22 kipmi0<br />&nbsp; 2 root&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RT&nbsp;&nbsp; 0&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp;&nbsp;&nbsp; 0&nbsp;&nbsp;&nbsp; 0 S&nbsp; 0.0&nbsp; 0.0&nbsp;&nbsp; 0:00.00 migration/0<br /><br />And... finally! What&rsquo;s actually running! The two most important numbers are the %CPU and %MEM towards the right, as well as the COMMAND. This tells you how compute- and memory-intensive your program is. Right now, nothing&rsquo;s running so the numbers aren&rsquo;t very interesting, but just wait until we run something...</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38389/blast-options-setting-and-defaults</guid>
	<pubDate>Mon, 10 Dec 2018 08:29:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38389/blast-options-setting-and-defaults</link>
	<title><![CDATA[BLAST options, setting and defaults]]></title>
	<description><![CDATA[<p>BLAST stands for Basic Local Alignment Search Tool and was developed by Altschul et al. (1990) and significantly improved by&nbsp;<a href="http://www3.oup.co.uk/nar/Volume_25/Issue_17/freepdf/">Altschul et al. (1997).</a>&nbsp;It is a very fast search algorithm that is used to separately search protein or DNA databases. BLAST is best used for sequence similarity searching, rather than for motif searching. For searches using a query sequence of fewer than twenty residues,&nbsp;<a href="https://www.arabidopsis.org/servlets/tools/patmatch/">PatMatch</a>&nbsp;is the best choice. Another sequence alignment tool that may yield different results from BLAST, and may be useful for motif searching, is&nbsp;<a href="https://www.arabidopsis.org/cgi-bin/fasta/TAIRfasta.pl">FASTA</a>. To search nonplant datasets, try&nbsp;<a href="http://seqsim.ncgr.org/newBlast.html">NCGR BLAST</a>&nbsp;or&nbsp;<a href="http://www.ncbi.nlm.nih.gov/blast/blast.cgi?Jform=0">NCBI BLAST</a>.</p>
<p>A fairly complete on-line guide to BLAST searching can be found at the&nbsp;<a href="http://www.ncbi.nlm.nih.gov/BLAST/blast_help.html">NCBI BLAST Help Manual</a>. For a theoretical overview of BLAST, see the&nbsp;<a href="http://www.ncbi.nlm.nih.gov/BLAST/tutorial/Altschul-1.html">NCBI BLAST Course</a>. Additional information can be found in the&nbsp;<a href="https://www.arabidopsis.org/blast/aboutblast2.htm">BLAST 2.0 Release Notes</a></p>
<table border="1">
<tbody>
<tr><th>&nbsp;</th><th><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#methods">BLASTN</a></th><th><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#methods">BLASTP</a></th><th><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#methods">BLASTX</a></th><th><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#methods">TBLASTN</a></th><th><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#methods">TBLASTX</a></th><th><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#methods">PSIBLAST</a></th></tr>
<tr>
<td><a name="open" id="open"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#open"><strong>Gap opening penalty</strong></a>:<br>cost to open a gap [integer]</td>
<td align="center">default = 5</td>
<td align="center">default = 11<br>limited&nbsp;values&nbsp;are supported</td>
<td align="center">default = 11<br>limited&nbsp;values&nbsp;are supported</td>
<td align="center">default = 11<br>limited&nbsp;values&nbsp;are supported</td>
<td align="center">default = 11<br>limited&nbsp;values&nbsp;are supported</td>
<td align="center">default = 5</td>
</tr>
<tr>
<td><a name="extend" id="extend"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#extend"><strong>Gap extension penalty</strong></a>:<br>cost to extend a gap [integer]</td>
<td align="center">default = 2</td>
<td align="center">default = 1<br>a 0 in this field means to use the default</td>
<td align="center">default = 1<br>a 0 in this field means to use the default</td>
<td align="center">default = 1<br>a 0 in this field means to use the default</td>
<td align="center">default = 1<br>a 0 in this field means to use the default</td>
<td align="center">default = 2</td>
</tr>
<tr>
<td><a name="match" id="match"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#match"><strong>Nucleic match</strong></a>:<br>reward for a match in the BLAST portion of run [integer]</td>
<td align="center">default = 1</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">default = 1</td>
</tr>
<tr>
<td><a name="mismatch" id="mismatch"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#mismatch"><strong>Nucleic mismatch</strong></a>:<br>penalty for a mismatch in the blast portion of run [integer]</td>
<td align="center">default = -3</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">default = -3</td>
</tr>
<tr>
<td><strong><a name="expect" id="expect"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#expect">Expectation value</a></strong>:<br>(E) [real]</td>
<td align="center">default = 10.0</td>
<td align="center">default = 10.0</td>
<td align="center">default = 10.0</td>
<td align="center">default = 10.0</td>
<td align="center">default = 10.0</td>
<td align="center">default = 10.0</td>
</tr>
<tr>
<td><a name="word" id="word"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#word"><strong>Word size</strong></a>:<br>the size of the initial word that must be matched between the database and the query sequence</td>
<td align="center">default = 11</td>
<td align="center">default = 3</td>
<td align="center">default = 3</td>
<td align="center">default = 3</td>
<td align="center">default = 3</td>
<td align="center">default = 11</td>
</tr>
<tr>
<td><a name="descriptions" id="descriptions"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#descriptions"><strong>Max scores</strong></a>:<br>Number of one-line descriptions (V) [Integer]</td>
<td align="center">default = 25</td>
<td align="center">default = 25</td>
<td align="center">default = 25</td>
<td align="center">default = 25</td>
<td align="center">default = 25</td>
<td align="center">default = 25</td>
</tr>
<tr>
<td><strong><a name="alignments" id="alignments"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#alignments">Max alignments</a></strong>:<br>number of alignments to show (B) [integer]</td>
<td align="center">default = 15</td>
<td align="center">default = 15</td>
<td align="center">default = 15</td>
<td align="center">default = 15</td>
<td align="center">default = 15</td>
<td align="center">default = 15</td>
</tr>
<tr>
<td><strong>Query filter</strong>:<br>filter applied to the query sequence</td>
<td align="center">default = DUST</td>
<td align="center">default = SEG</td>
<td align="center">default = SEG</td>
<td align="center">default = SEG</td>
<td align="center">default = SEG</td>
<td align="center">default = DUST</td>
</tr>
<tr>
<td><strong><a name="gencodes" id="gencodes"></a><a href="https://www.arabidopsis.org/Blast/BLAST_help.jsp#gencodes">Query genetic code</a></strong>:<br>genetic code to be used in BLASTX translation of the query</td>
<td align="center">n/a</td>
<td align="center">n/a</td>
<td align="center">default = universal</td>
<td align="center">default = universal</td>
<td align="center">default = universal</td>
<td align="center">n/a</td>
</tr>
<tr>
<td><strong><a name="matrix" id="matrix"></a><a href="http://twod.med.harvard.edu/seqanal/matrices.html">Matrix</a></strong>:<br>substitution matrix to be used for amino acid comparisons</td>
<td align="center">no default</td>
<td align="center">default = blosum62</td>
<td align="center">default = blosum62</td>
<td align="center">default = blosum62</td>
<td align="center">default = blosum62</td>
<td align="center">no default</td>
</tr>
</tbody>
</table>
<p>Supported and Suggested&nbsp;Values&nbsp;for Gap Open and Extension in BLASTP, BLASTX, TBLASTN, and TBLASTX</p>
<table border="1">
<tbody>
<tr><th>Gaps Open</th><th>Gap Extension</th></tr>
<tr>
<td align="center">10</td>
<td align="center">1</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">2</td>
</tr>
<tr>
<td align="center">11</td>
<td align="center">1</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">2</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">2</td>
</tr>
</tbody>
</table><p>Address of the bookmark: <a href="https://www.arabidopsis.org/Blast/BLASToptions.jsp" rel="nofollow">https://www.arabidopsis.org/Blast/BLASToptions.jsp</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/11355/genomics-and-personalized-medicine-breakthroughs</guid>
	<pubDate>Sun, 01 Jun 2014 23:40:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/11355/genomics-and-personalized-medicine-breakthroughs</link>
	<title><![CDATA[Genomics and Personalized Medicine Breakthroughs]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/VAR-1vNc0TE" frameborder="0" allowfullscreen></iframe>http://bit.ly/e8QGzY Human genome mapping is now enabling a breakthrough in medical innovation -- personalized medicine. What does this mean for patients? We can now identify predispositions to disease, predict how we metabolize drugs, and figure out what kinds of treatments we may respond to, and even determine when a drug may give us an adverse reaction. All medical specialties benefit from human genome intelligence -- oncology saw the first impacts -- but advances are now being seen in cardiology, obstetrics and gynecology, pediatric diseases, gastroenterology, rheumatology, immunology and other areas. This video covers the areas that genetic medicine is impacting and where the future of genomic medicine is heading.]]></description>
	
</item>
<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/opportunity/view/11441/assistant-professor-in-bioinformatics-at-dr-d-y-patil-biotechnology-bioinformatics-institute</guid>
  <pubDate>Tue, 03 Jun 2014 19:54:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor 	in Bioinformatics at Dr. D. Y. Patil Biotechnology &amp; Bioinformatics Institute]]></title>
  <description><![CDATA[
<p>Dr. D. Y. Patil Biotechnology &amp; Bioinformatics Institute <br />Tathawade, Pune 411033.</p>

<p>Assistant Professor 	in Bioinformatics </p>

<p>Essential :<br />First Class Master’s Degree in the appropriate branch of Life Sciences / Technology (Tech.)<br />OR<br />Ph.D in Life Sciences or in the respective subject area of specialization<br />OR<br />Good Academic record with at least 55% marks (or an equivalent grade) at the Master’s Degree level, in the relevant subject or an equivalent degree from an Indian / Foreign University.<br />Besides fulfilling the above qualifications, candidates should have cleared the eligibility test (NET) for lecturers conducted by the UGC, CSIR or similar test accredited by the UGC and as per the requirements of UGC guidelines.</p>

<p>Desirable :<br />Teaching, research industrial and/or professional experience in a reputed organization. <br />Papers presented at Conferences and/or in refereed journals</p>

<p>Note : Application are invited in prescribed form Click here for Application Form<br />Kindly send your applications to “Registrar, Dr. D. Y. Patil Vidyapeeth, Pune, Sant Tukaram Nagar, Pimpri, Pune – 411018., Maharashtra, India.” should reach in the University office within 15 days from the publication.</p>

<p>More Info: http://www.dpu.edu.in/BiotechResearchPositions.aspx</p>
]]></description>
</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/opportunity/view/11656/faculty-post-at-zhejiang-university</guid>
  <pubDate>Tue, 10 Jun 2014 03:40:40 -0500</pubDate>
  <link></link>
  <title><![CDATA[Faculty post at Zhejiang University]]></title>
  <description><![CDATA[
<p>Zhejiang University (ZJU) is seeking faculty candidates for its newly launched, highly competitive and well funded “Hundred Talents Program”. This search covers all colleges and departments at ZJU. Applicants, expected to be about 35 years old, should hold PhD degree, and postdoctoral experiences are preferred for applicants in most fields. Applicants should have demonstrated commitment to excellence in teaching and research at a level comparable to the academic achievement of assistant professor or associate professor in world-renowned universities. Successful candidates must work full-time and are expected to establish internationally competitive and independent research program in cutting-edge areas of the relevant field at ZJU.</p>

<p>As one of the leading research-intensive universities in China, ZJU is located in the beautiful city of Hangzhou. Successful candidates will be employed as Principal Investigators and are qualified to supervise doctoral students. ZJU will offer an internationally competitive salary and the opportunity to purchase university's apartment at a price much lower than the market price, and will provide office and laboratory spaces as well as internationally competitive research startup packages.</p>

<p>Qualified applicants are strongly encouraged to submit their applications electronically to tr@zju.edu.cn. Applicants should include the following materials in pdf format: a comprehensive CV, a statement of research and teaching plan, and a list of 3 to 5 references with detailed contact information.</p>

<p>Contact：Talents Office, ZJU</p>

<p>Tel：+86-571-88981345, +86-571-88981390</p>

<p>Fax：+86-571-88981976</p>

<p>E-mail:tr@zju.edu.cn</p>
]]></description>
</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/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>

</channel>
</rss>