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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/2727?offset=30</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/27713/mutabind</guid>
	<pubDate>Mon, 06 Jun 2016 13:34:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/27713/mutabind</link>
	<title><![CDATA[MutaBind]]></title>
	<description><![CDATA[<p><span>MutaBind is a new computational method and server created through NCBI research efforts that maps mutations on a protein structural complex, calculates changes in binding affinity, identifies deleterious mutations and produces a downloadable mutant structural model.&nbsp;</span><a href="http://www.ncbi.nlm.nih.gov/projects/mutabind/index.fcgi/" target="_blank">http://www.ncbi.nlm.nih.gov/projects/mutabind/index.fcgi/</a></p><p><img src="http://www.ncbi.nlm.nih.gov/projects/mutabind/prj-sunddg/static/myimgs/CirclesDiamondBlueThiner.png" width="471" height="258" alt="image" style="border: 0px;"></p><p><span>MutaBind guides you through this process, step by step, starting with selecting a protein complex and inputting PDB code or uploading PDB files. You can also retrieve results with a job ID number, view help documents, and review the MutaBind method and references.</span></p><p><span>More at&nbsp;http://www.ncbi.nlm.nih.gov/projects/mutabind/index.fcgi/</span></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32730/ncbi-prokaryotic-genome-annotation-pipeline</guid>
	<pubDate>Tue, 16 May 2017 08:56:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32730/ncbi-prokaryotic-genome-annotation-pipeline</link>
	<title><![CDATA[NCBI Prokaryotic Genome Annotation Pipeline]]></title>
	<description><![CDATA[<p>NCBI Prokaryotic Genome Annotation Pipeline is designed to annotate bacterial and archaeal genomes (chromosomes and plasmids).</p>
<p>Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile elements.</p>
<p>NCBI has developed an automatic prokaryotic genome annotation pipeline that combines&nbsp;<em>ab initio</em>&nbsp;gene prediction algorithms with homology based methods. The first version of NCBI Prokaryotic Genome Automatic Annotation Pipeline (PGAAP;&nbsp;<a href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&amp;db=pubmed&amp;dopt=Abstract&amp;list_uids=18416670">see Pubmed Article</a>) developed in 2005 has been replaced with an upgraded version that is capable of processing a larger data volume. You can find a more detailed description of the new version of&nbsp;the pipeline in&nbsp;<a href="https://www.ncbi.nlm.nih.gov/books/NBK174280/">NCBI Handbook chapter</a>. NCBI's annotation pipeline depends on several internal databases and is not currently available for download or use outside of the NCBI environment.</p>
<p>https://www.ncbi.nlm.nih.gov/genome/annotation_prok/</p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/genome/annotation_prok/" rel="nofollow">https://www.ncbi.nlm.nih.gov/genome/annotation_prok/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/39865/blast-nr-version-5-database-nr-v5</guid>
	<pubDate>Fri, 23 Aug 2019 11:35:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/39865/blast-nr-version-5-database-nr-v5</link>
	<title><![CDATA[BLAST nr version 5 database, (nr_v5)]]></title>
	<description><![CDATA[<p>NCBI have made changes the nr version 5 database, (nr_v5), to facilitate better search results and improved performance by reducing the number of redundant titles in the nr_v5 database used by webBLAST, which is also available for&nbsp;BLAST+ users.</p><p><span style="text-decoration: underline;"></span></p><p>The changes in nr preserve the taxonomic diversity of the entries in the database while reducing the number of titles for identical sequences. GenPept accessions are still accessible via&nbsp;<a href="http://www.ncbi.nlm.nih.gov/protein/$GENBANK_ACCESSION" target="_blank">www.ncbi.nlm.nih.gov/protein/$GENBANK_ACCESSION</a>&nbsp;or the IPG website&nbsp;<a href="https://www.ncbi.nlm.nih.gov/ipg/" target="_blank">https://www.ncbi.nlm.nih.gov/ipg/</a>.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><p>The "Identical Proteins" link in the alignments section of the webBLAST results takes you to a full list of all accessions associated with a sequence.</p><p><span style="text-decoration: underline;"></span></p><p>For&nbsp;BLAST+ users downloading nr_v5: the database is now approximately 50% smaller, resulting in faster downloads and&nbsp;BLAST&nbsp;searches, and smaller disk space requirements. The database is downloadable at: &nbsp;<a href="ftp://ftp.ncbi.nlm.nih.gov/blast/db/v5/" target="_blank">ftp://ftp.ncbi.nlm.nih.gov/blast/db/v5/</a></p><p><span style="text-decoration: underline;"></span></p><p>For&nbsp;BLAST+ there is a cleanup script to help you manage the transition to this smaller database. The script removes unused database volumes:&nbsp;<a href="ftp://ftp.ncbi.nlm.nih.gov/blast/temp/cleanup-blastdb-volumes.py" target="_blank">ftp://ftp.ncbi.nlm.nih.gov/blast/temp/cleanup-blastdb-volumes.py</a></p><p><span style="text-decoration: underline;"></span></p><p>Here are the new rules on how we keep titles in nr_v5:</p><p><span style="text-decoration: underline;"></span></p><p>1.&nbsp;&nbsp;&nbsp; We keep all refseq, swissprot, pir and PDB titles.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><p>2.&nbsp; &nbsp;&nbsp;We keep any GenPept titles with a TAXID that has not already been seen in the record.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><p>3.&nbsp; &nbsp;&nbsp;We keep at least five GenPept titles regardless of whether the TAXIDS have been seen before or not in this record.</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/42370/ncbi-blast-have-added-new-columns-to-the-descriptions</guid>
	<pubDate>Tue, 01 Dec 2020 09:56:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/42370/ncbi-blast-have-added-new-columns-to-the-descriptions</link>
	<title><![CDATA[NCBI BLAST have added new columns to the Descriptions]]></title>
	<description><![CDATA[<p><span>NCBI BLAST have added new columns to the Descriptions Table for web BLAST output. The new columns are&nbsp; Scientific Name, Common Name, Taxid, and Accession Length. Common Name and Accession Length are now part of the default display. You can click 'Select columns' or 'Manage columns' to add or remove columns from the display Your preferences will be saved for your next visit to BLAST, and when you download your results, whatever columns you have displayed will be saved. See the NCBI Insights post (</span><a href="https://go.usa.gov/x7fPE" target="_blank">https://go.usa.gov/x7fPE</a><span>) for more details.</span></p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/88/regular-expression-cheat-sheet</guid>
	<pubDate>Tue, 09 Jul 2013 17:38:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/88/regular-expression-cheat-sheet</link>
	<title><![CDATA[Regular Expression Cheat Sheet]]></title>
	<description><![CDATA[<p><span>The Regular Expression are the sole of Perl language, and for bioinformatician it is just a magical stick to resolve gingatic string data. We did not find any good and user friendly regular expression cheat sheet, hence write our own cheat sheet.&nbsp;</span><span>The Regular Expressions Cheat Sheet, a quick reference guide for regular expressions, including symbols, ranges, grouping, assertions and some sample patterns to get you started.</span></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/88" length="14944" type="application/pdf" />
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/783/perl-module-installation</guid>
	<pubDate>Fri, 12 Jul 2013 11:19:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/783/perl-module-installation</link>
	<title><![CDATA[Perl Module Installation]]></title>
	<description><![CDATA[<p>Nice step wide information on perl module installation.</p><p>Address of the bookmark: <a href="http://bioinformaticsonline.com/blog/view/710/how-to-install-perl-modules-manually-using-cpan-command-and-other-quick-ways" rel="nofollow">http://bioinformaticsonline.com/blog/view/710/how-to-install-perl-modules-manually-using-cpan-command-and-other-quick-ways</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/fun/view/2053/perl-poem-parse-it-in-both-perl-and-english</guid>
	<pubDate>Mon, 12 Aug 2013 19:00:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/fun/view/2053/perl-poem-parse-it-in-both-perl-and-english</link>
	<title><![CDATA[Perl Poem: Parse it in both Perl and English!]]></title>
	<description><![CDATA[<p>Larry's, er, corpus has fortunately been overshadowed by that of the reigning Perl Poet, Sharon Hopkins. She has written quite a few Perl poems, as well as a paper on Perl poetry that she presented at the Usenix Winter 1992 Technical Conference, entitled "Camels and Needles: Computer Poetry Meets the Perl Programming Language". (The paper is available as misc/<a href="http://poetry.ps/" target="_blank">poetry.ps</a>&nbsp;on CPAN.) Besides being the most prolific Perl poet, Sharon is also the most widely published, having had the following poem published in both the Economist and the Guardian:</p><p>#!/usr/bin/perl</p><p>APPEAL:</p><p>listen (please, please);</p><p>open yourself, wide;<br />join (you, me),<br />connect (us,together),</p><p>tell me.</p><p>do something if distressed;</p><p>@dawn, dance;<br />@evening, sing;<br />read (books,$poems,stories) until peaceful;<br />study if able;</p><p>write me if-you-please;</p><p>sort your feelings, reset goals, seek (friends, family, anyone);</p><p>do*not*die (like this)<br />if sin abounds;</p><p>keys (hidden), open (locks, doors), tell secrets;<br />do not, I-beg-you, close them, yet.</p><p>accept (yourself, changes),<br />bind (grief, despair);</p><p>require truth, goodness if-you-will, each moment;</p><p>select (always), length(of-days)</p><p># listen (a perl poem)<br /># Sharon Hopkins<br /># rev. June 19, 1995</p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4193/bioinformatics-101-running-blast</guid>
	<pubDate>Tue, 03 Sep 2013 14:59:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4193/bioinformatics-101-running-blast</link>
	<title><![CDATA[Bioinformatics 101 -  Running BLAST]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/CYnjROfGXv8" frameborder="0" allowfullscreen></iframe>How to format the database for BLAST, run the command, view the output file, and use BioPerl and Perl to parse the output. By David Francis, Ohio State University. Delivered live at the Tomato Disease Workshop 2010. For more information, please visit http://www.extension.org/pages/32521/bioinformatics-101-video.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/11181/perl-one-liner-for-bioinformatician</guid>
	<pubDate>Fri, 30 May 2014 05:49:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/11181/perl-one-liner-for-bioinformatician</link>
	<title><![CDATA[Perl one-liner for bioinformatician !!!]]></title>
	<description><![CDATA[<p>With the emergence of NGS technologies, and sequencing data most of the bioinformaticians mung and wrangle around massive amounts of genomics text. There are several "standardized" file formats (FASTQ, SAM, VCF, etc.) and some tools for manipulating them (fastx toolkit, samtools, vcftools, etc.), there are still times where knowing a little bit of Perl onliner is extremely helpful.</p><p>Perl one-liners are small and awesome Perl programs that fit in a single line of code and they do one thing really well. These things include changing line spacing, numbering lines, doing calculations, converting and substituting text, deleting and printing certain lines, parsing logs, editing files in-place, doing statistics, carrying out system administration tasks, updating a bunch of files at once, and many more. Perl one-liners will make you the shell warrior. Anything that took you minutes to solve, will now take you seconds!<br /><br />perl -pe '$\="\n"'&nbsp; &nbsp;<br />#double space a file<br /><br />perl -pe '$_ .= "\n" unless /^$/' <br />#double space a file except blank lines<br /><br />perl -pe '$_.="\n"x7' <br />#7 space in a line.<br /><br />perl -ne 'print unless /^$/' <br />#remove all blank lines<br /><br />perl -lne 'print if length($_) &lt; 20' <br />#print all lines with length less than 20.<br /><br />perl -00 -pe '' <br />#If there are multiple spaces, delete all leaving one(make the file a single spaced file).<br /><br />perl -00 -pe '$_.="\n"x4' <br />#Expand single blank lines into 4 consecutive blank lines<br /><br />perl -pe '$_ = "$. $_"'<br />#Number all lines in a file<br /><br />perl -pe '$_ = ++$a." $_" if /./' <br />#Number only non-empty lines in a file<br /><br />perl -ne 'print ++$a." $_" if /./' <br />#Number and print only non-empty lines in a file<br /><br />perl -pe '$_ = ++$a." $_" if /regex/' <br />#Number only lines that match a pattern<br /><br />perl -ne 'print ++$a." $_" if /regex/' <br />#Number and print only lines that match a pattern<br /><br />perl -ne 'printf "%-5d %s", $., $_ if /regex/' <br />#Left align lines with 5 white spaces if matches a pattern (perl -ne 'printf "%-5d %s", $., $_' : for all the lines)<br /><br />perl -le 'print scalar(grep{/./}&lt;&gt;)' <br />#prints the total number of non-empty lines in a file<br /><br />perl -lne '$a++ if /regex/; END {print $a+0}' <br />#print the total number of lines that matches the pattern<br /><br />perl -alne 'print scalar @F' <br />#print the total number fields(words) in each line.<br /><br />perl -alne '$t += @F; END { print $t}' <br />#Find total number of words in the file<br /><br />perl -alne 'map { /regex/ &amp;&amp; $t++ } @F; END { print $t }' <br />#find total number of fields that match the pattern<br /><br />perl -lne '/regex/ &amp;&amp; $t++; END { print $t }' <br />#Find total number of lines that match a pattern<br /><br />perl -le '$n = 20; $m = 35; ($m,$n) = ($n,$m%$n) while $n; print $m' <br />#will calculate the GCD of two numbers.<br /><br />perl -le '$a = $n = 20; $b = $m = 35; ($m,$n) = ($n,$m%$n) while $n; print $a*$b/$m' <br />#will calculate lcd of 20 and 35.<br /><br />perl -le '$n=10; $min=5; $max=15; $, = " "; print map { int(rand($max-$min))+$min } 1..$n' <br />#Generates 10 random numbers between 5 and 15.<br /><br />perl -le 'print map { ("a".."z",&rdquo;0&rdquo;..&rdquo;9&rdquo;)[rand 36] } 1..8'<br />#Generates a 8 character password from a to z and number 0 &ndash; 9.<br /><br />perl -le 'print map { ("a",&rdquo;t&rdquo;,&rdquo;g&rdquo;,&rdquo;c&rdquo;)[rand 4] } 1..20'<br />#Generates a 20 nucleotide long random residue.<br /><br />perl -le 'print "a"x50'<br />#generate a string of &lsquo;x&rsquo; 50 character long<br /><br />perl -le 'print join ", ", map { ord } split //, "hello world"'<br />#Will print the ascii value of the string hello world.<br /><br />perl -le '@ascii = (99, 111, 100, 105, 110, 103); print pack("C*", @ascii)'<br />#converts ascii values into character strings.<br /><br />perl -le '@odd = grep {$_ % 2 == 1} 1..100; print "@odd"'<br />#Generates an array of odd numbers.<br /><br />perl -le '@even = grep {$_ % 2 == 0} 1..100; print "@even"'<br />#Generate an array of even numbers<br /><br />perl -lpe 'y/A-Za-z/N-ZA-Mn-za-m/' file <br />#Convert the entire file into 13 characters offset(ROT13)<br /><br />perl -nle 'print uc' <br />#Convert all text to uppercase:<br /><br />perl -nle 'print lc' <br />#Convert text to lowercase:<br /><br />perl -nle 'print ucfirst lc' <br />#Convert only first letter of first word to uppercas<br /><br />perl -ple 'y/A-Za-z/a-zA-Z/' <br />#Convert upper case to lower case and vice versa<br /><br />perl -ple 's/(\w+)/\u$1/g' <br />#Camel Casing<br /><br />perl -pe 's|\n|\r\n|' <br />#Convert unix new lines into DOS new lines:<br /><br />perl -pe 's|\r\n|\n|' <br />#Convert DOS newlines into unix new line<br /><br />perl -pe 's|\n|\r|' <br />#Convert unix newlines into MAC newlines:<br /><br />perl -pe '/regexp/ &amp;&amp; s/foo/bar/' <br />#Substitute a foo with a bar in a line with a regexp.</p><p>Reference/Sources:</p><p>http://genomics-array.blogspot.in/2010/11/some-unixperl-oneliners-for.html</p><p><a href="http://genomespot.blogspot.com/2013/08/a-selection-of-useful-bash-one-liners.html">http://genomespot.blogspot.com/2013/08/a-selection-of-useful-bash-one-liners.html</a></p><p><a href="http://biowize.wordpress.com/2012/06/15/command-line-magic-for-your-gene-annotations/">http://biowize.wordpress.com/2012/06/15/command-line-magic-for-your-gene-annotations/</a></p><p><a href="http://genomics-array.blogspot.com/2010/11/some-unixperl-oneliners-for.html">http://genomics-array.blogspot.com/2010/11/some-unixperl-oneliners-for.html</a></p><p><a href="http://bioexpressblog.wordpress.com/2013/04/05/split-multi-fasta-sequence-file/">http://bioexpressblog.wordpress.com/2013/04/05/split-multi-fasta-sequence-file/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/22571/pattern-matching-problem-solution-with-perl</guid>
	<pubDate>Tue, 09 Jun 2015 23:58:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/22571/pattern-matching-problem-solution-with-perl</link>
	<title><![CDATA[Pattern Matching Problem Solution with Perl]]></title>
	<description><![CDATA[<p>Problem at http://rosalind.info/problems/1c/</p><p>#Find all occurrences of a pattern in a string.<br />#Given: Strings Pattern and Genome.<br />#Return: All starting positions in Genome where Pattern appears as a substring. Use 0-based indexing.<br /><br />use strict;<br />use warnings;<br /><br />my $string="GATATATGCATATACTT";<br />my $subStr="ATAT";<br />my $kmer=length($subStr);<br /><br />kmerMatch ($string, $subStr, $kmer);<br /><br />sub kmerMatch { #Check the exact matching kmers with sliding window<br />my ($string, $myStr, $kmer)=@_;<br />for (my $aa=0; $aa&lt;=(length($string)-$kmer); $aa++) {<br />&nbsp;&nbsp;&nbsp; my $myWin=substr&nbsp; $string, $aa,$kmer;<br />&nbsp;&nbsp;&nbsp; if ($myWin eq $myStr) {<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; #print "$myWin eq $myStr\n";<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; print $aa;<br />&nbsp;&nbsp;&nbsp; }<br />}<br />}</p>]]></description>
	<dc:creator>Jit</dc:creator>
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