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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30130?offset=150</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27076/ale-a-generic-assembly-likelihood-evaluation-framework-for-assessing-the-accuracy-of-genome-and-metagenome-assemblies</guid>
	<pubDate>Tue, 26 Apr 2016 03:38:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27076/ale-a-generic-assembly-likelihood-evaluation-framework-for-assessing-the-accuracy-of-genome-and-metagenome-assemblies</link>
	<title><![CDATA[ALE: a Generic Assembly Likelihood Evaluation Framework for Assessing the Accuracy of Genome and Metagenome Assemblies]]></title>
	<description><![CDATA[<p>Assembly Likelihood Evaluation (ALE) framework that overcomes these limitations, systematically evaluating the accuracy of an assembly in a reference-independent manner using rigorous statistical methods. This framework is comprehensive, and integrates read quality, mate pair orientation and insert length (for paired-end reads), sequencing coverage, read alignment and k-mer frequency. ALE pinpoints synthetic errors in both single and metagenomic assemblies, including single-base errors, insertions/deletions, genome rearrangements and chimeric assemblies presented in metagenomes. At the genome level with real-world data, ALE identifies three large misassemblies from the Spirochaeta smaragdinae finished genome, which were all independently validated by Pacific Biosciences sequencing. At the single-base level with Illumina data, ALE recovers 215 of 222 (97%) single nucleotide variants in a training set from a GC-rich Rhodobacter sphaeroides genome. Using real Pacific Biosciences data, ALE identifies 12 of 12 synthetic errors in a Lambda Phage genome, surpassing even Pacific Biosciences' own variant caller, EviCons. In summary, the ALE framework provides a comprehensive, reference-independent and statistically rigorous measure of single genome and metagenome assembly accuracy, which can be used to identify misassemblies or to optimize the assembly process.</p>
<p>More at&nbsp;http://www.ncbi.nlm.nih.gov/pubmed/23303509</p><p>Address of the bookmark: <a href="http://sc932.github.io/ALE/about.html" rel="nofollow">http://sc932.github.io/ALE/about.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29995/hga</guid>
	<pubDate>Tue, 29 Nov 2016 07:25:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29995/hga</link>
	<title><![CDATA[HGA]]></title>
	<description><![CDATA[<p>HGA tool version 1.0 This tool helps to apply the Hierarchical Genome Assembly (HGA) method. The tool will apply: 1. Partitioning a given reads dataset into a given number of partitions. 2. Assembling each partitions using a pre-specified assembler (Velvet or SPAdes in this version) and using a given kmer size. 3. Merging all the assemblies of the partition. 4. Combining all the assemblies of the partition (using velvet with kmer value of 31). 5. Finaly, re-assembling the whole dataset with the merged contigs or the combined contigs, using a given kmer size.</p>
<p>https://github.com/aalokaily/Hierarchical-Genome-Assembly-HGA</p><p>Address of the bookmark: <a href="https://github.com/aalokaily/Hierarchical-Genome-Assembly-HGA" rel="nofollow">https://github.com/aalokaily/Hierarchical-Genome-Assembly-HGA</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/37905/phased-human-genome-assembly</guid>
	<pubDate>Mon, 08 Oct 2018 09:10:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/37905/phased-human-genome-assembly</link>
	<title><![CDATA[Phased Human Genome Assembly !]]></title>
	<description><![CDATA[<p>The new publicly available assembly (PacBio&nbsp;<a href="https://www.globenewswire.com/Tracker?data=IM2cKfZgtHafORdb9VSstujBjyW-aIzFILCtXNAkcY_yqVmxdjvG01R_FZQC7zLxs-alqquXwsW6MG98G9-g-ym8Nue2pmUZMtkIg3FIat2mYbJ-z2Ra367GlinbO13x" target="_blank" title=""><span style="text-decoration: underline;">HG00733</span></a>) has the fewest gaps of any human genome assembly, with more than half of the genome contained in gapless sequence at least 27 Mb long. The primary contig assembly is 2.89 Gb long and consists of 865 contigs that were assembled with PacBio data generated with the company&rsquo;s Sequel<span>&reg;</span>&nbsp;System. Using the&nbsp;<a href="https://www.globenewswire.com/Tracker?data=jOa6mE1Y5r8VbU1CaCgx1A0HsoVzJ7waxOiDKgvmKL6cwJq_eH4nWrGj2vLkNpxHl1-5CH4htDB4113PXT8WU60hvHQ-KKpvAwQwveEGvz3N4d0q7QHSa_X97LW8_9xEiYqfsc4d24ca-IpVYZsf7Ue-XL7fSIIZw_EHK-F96t1aaQNRcD-z1PP5qvlZbVwX" target="_blank" title=""><span style="text-decoration: underline;">FALCON-Unzip assembler</span></a>, maternal and paternal haplotypes were resolved over more than 80% of the genome. Maternal and paternal haplotype blocks were then further phased using Hi-C technology and the&nbsp;<a href="https://www.globenewswire.com/Tracker?data=jOa6mE1Y5r8VbU1CaCgx1IrQmRcKvNQm83FLTqQE6OGzutM-fEggnm4Z-nsniK0D_YmDKS_UKWE0NHtHbgvbL973Y2-9NhrWhYKizXQ4lpiTvlqPf1UZdjqVs7BDjISgDnovv8foYw8es8jQzAg5Xfq1CH36NOnWQgA_X04XSvyEEEj0q801Im6cV5M5K4eL15vb_ZgUayccOvDY_fc6lxxPAAAyA4h16-zUN44Y81KdujciCrJrv5xynMIXEjRsaIKCf6eCX_Q1j_uZlN5TD0MVr6HulTYG8lGgyL0x-eQ=" target="_blank" title=""><span style="text-decoration: underline;">FALCON-Phase method</span></a>developed in collaboration with Phase Genomics. The genome was then&nbsp;<em>de novo</em>&nbsp;scaffolded using Phase Genomics&rsquo;&nbsp;<a href="https://www.globenewswire.com/Tracker?data=4wcqEWHJpCHRJARQkC0oVkYT9htT14iVebujxcW1nMpAjmigHGQ46ObCGetRfyaZm1ADIHaV1-30B9izTAhjJ-efhFlxorUxs08kdV-9AAzQyuHJ9S7wxnRRnyegsTZd" target="_blank" title=""><span style="text-decoration: underline;">Proximo Hi-C platform</span></a>, resulting in the first chromosome-scale diploid assembly of a single individual accomplished with only two technologies. More specific details about the assembly are included on the PacBio blog.</p><p>The data are available using NCBI accession IDs: BioProject: (<a href="https://www.globenewswire.com/Tracker?data=YZtCuhY2wu5H0yIso9jtUufPXbwyHh1QOZ1jBggGpK5NtXaU_JGC9X39F3uHZ96uVmu6hW5OB2Qq805hUEW2OhSNCm630yFiEF6_nsAwYB0=" target="_blank" title=""><span style="text-decoration: underline;">PRJNA483067</span></a>), assembly: [<a href="https://www.globenewswire.com/Tracker?data=CEXZ7E56JOsRgfH4Wq3r5LVbv4QH_UIekV9idYBys9l8K7pFft824jmYWNzJqK7lQ9fMbaAtbURpm8gM7zqUbpPUrydFwrkJGGtG-NBHctjyjddiFY-p06xZPm2mHXE2" target="_blank" title=""><span style="text-decoration: underline;">RBJD00000000</span></a>] and sequence data (<a href="https://www.globenewswire.com/Tracker?data=pELP2RpqTqTRaPF9yN1N7GZYlQmTxpY0aW-B8xaNw6iyD-Lylw7X3UzMDK3YS4AIYgLtD13em2XsbzOwKhXuNbI4Ks6-LSyXl1_yVdFoB0U=" target="_blank" title=""><span style="text-decoration: underline;">SRP155659</span></a>).</p><p><span>Additional Resources</span></p><ul>
<li><a href="http://globenewswire.com/Tracker?data=zXpdadphSgIAIEWeq46yRPm5-TU0H7wTkL48ue4I9GsaHd5mJyMb9PgXgAsElREkLOCOdWdJ8uW9DHB-LyQ7xhzbd97Qis6CuAlqD0ubGgY%3D" target="_blank" title=""><span style="text-decoration: underline;">Interactive map</span></a>&nbsp;showcasing global initiatives underway to generate reference-quality human genome assemblies for diverse populations</li>
<li><a href="http://globenewswire.com/Tracker?data=EQ8NIaaa8k1Nw1MPRJYIHYrqgsDy92kU8W0siJdGQhq5IJ0dcb890PFFm-C1SrAlFf0xkxUVRxZefFK5ebhoIzmS-6OjR1G9sTxOkCOwRHCAZWmHL-e7uGSuZYcw1VsDp8AeDWO0RwcepMMB6hAoR6BBCJDiJVVZtdFlWBn2uxs%3D" target="_blank" title=""><span style="text-decoration: underline;">BioReport Podcast</span></a>&nbsp;on the value of ethnic-specific reference genomes</li>
<li><em>Nature Reviews Genetics</em>&nbsp;paper from NHGRI:&nbsp;<a href="http://globenewswire.com/Tracker?data=dffu-wPD_JX1_KVeCA6VFy-kP1tlAUbn7d85saXD59dnnJfT2BE3N_Rbm6kT4BvifA_XEs49ioa75cy4HyFi90RA_LRa2QFF6Y4mr-dcoMucljZw0K4JNDZuwWkWPE51cVC2Lqq3E3C1aZ8un6Bq3i-OO_NiVH0hh23hUw4wC84%3D" target="_blank" title=""><span style="text-decoration: underline;">Prioritizing&nbsp;diversity&nbsp;in human genomics research</span></a></li>
<li>Article in&nbsp;<em>The Journal of Precision Medicine</em>: &ldquo;<a href="http://globenewswire.com/Tracker?data=yokLqO2TCBLCdj6uZl-GYbqcGMWBerBYjSPrLMumNrWF2p5XlXq9yl5p-1b5xx3Ckfn5ZjQWkdhxLttbiNae5gccUCP-9RWPUqvTu9MuU9zgJ1c8e14lAladCuEOiVZ2oVRiqssPtLu9hgQWw4ad5EUxZemevsHE4BHC6IiFmMZ6DS6ApwZu-IonFgCFBIcjWOpitQthDASosfaqkMi9LsKgLU9F0WGVJDDOzHXpddhjfCUdEEJ7xC1p8uh9TSiCZgZV6XPlUJSe8n0C_9TtOw%3D%3D" target="_blank" title=""><span style="text-decoration: underline;">Minority Report &ndash; Ethnic Diversity and the Real Promise for Precision Medicine</span></a>&rdquo;</li>
<li>Article&nbsp;in&nbsp;<em>Bio-IT World</em>: &ldquo;<a href="http://globenewswire.com/Tracker?data=rLp1pKetctTPitNEnRjOVDZ3Cvw3FUdL6_ybXncvhjR4ksOrX3y6HUK8WtLlKHT7XZzq_woUjZ-uw20YNvsP0GZAmy5lVqETt27oBLi02wFtTH_6ubELIHtBu8vfVyKnqKp-YhosFG5K7y0RUtzmNjOAlCYPAeVXabn2a2AiSePxUXA_tSy_g79hjYm63x9dPN9oFQGYedOsyHD_ls8DKw%3D%3D" target="_blank" title=""><span style="text-decoration: underline;">Genomic Data Standards Are a Necessity</span></a>&rdquo;</li>
<li>NHGRI Project Award:&nbsp;<a href="http://globenewswire.com/Tracker?data=FbqTEeRffJ88lFryYX6MiOefXvIXFdZDAyW4nrFoYNHaJyMEYIcb7I4BIcEQmxzsKOjrlf9F8irfRJeJLOqG8KFsl-kvkhakUkg3BfYdKGnpLzKYyWbUFR0aKMeEXirHBi7oDLEUSDO45qxANwxyee-pqZXfzAIwF1Wcuaf7EIzNqRqmBUJ3TyNyI05lwAo9gDKmApMnJo5VxPj5P_6rY8lisuv1PNSAh_kJPOuhVBk%3D" target="_blank" title=""><span style="text-decoration: underline;">High Quality Human and Non-Human Primate Genome Assemblies</span></a></li>
</ul><p>More details are available on the PacBio website:</p><ul>
<li>Blog post:&nbsp;<a href="http://globenewswire.com/Tracker?data=ycj-ujgsKzVyljNa11buVmIS5tk9B733VsFZEw77nBXo-IkBvcoG16dN9vuTiY3nm2G5dJZS5Iva3w_znrEtJVDuU8cVlFpozY2ibinKwrMGxkXZVSqW8_uD8fbySRjM5Q_cjuPU22ARFSSLCc9vHJx9WHnb9Rza-qPbuWgewa0rWWStq2fQY5mLpeaQf5fcDJnyQkvDAMI3fauXdzyThg%3D%3D" target="_blank" title=""><span style="text-decoration: underline;">Data Release: Highest-Quality, Most Contiguous Individual Human Genome Assembly to Date</span></a></li>
<li>Blog post:&nbsp;<a href="http://globenewswire.com/Tracker?data=GlZZ9nyp5mDSjJPPfhVD1-dZ_W2l8s0eAUox3TQs949zyGjzO7dx9xodyvyqerdqPC-G3ZhdPEs9xNhJwflrwgHPYQL3kTofprKHBBq3O4gn9E75YUBweJw9b6tTE89sMLUQzF-vRNNDjero3mibm_uG-fSHoYBTm2ZlyEmwzZ5E9tXVd5_RjG0Xnej2E0scA0SncEItAF6Q7vdOydTV_Yr9yYT2TmKY5jtyAt6ZrNGn3McqfV9mMRkR-8dYJLqrQln9JiEkWTwUae6Blj56HyjyXKl6Dfa_CyNuy4r-EWU%3D" target="_blank" title=""><span style="text-decoration: underline;">For Reference-Grade Human Genome Assemblies, SMRT Sequencing Yields Optimal Results</span></a></li>
<li>Webinar: &nbsp;<a href="http://globenewswire.com/Tracker?data=xlnfDwMNLGZZvtexJYsUgMe-DV8HNrYx2QqjwIjfj40dToVtqrBi-gvhknHZmIe8GV_3WU3_9LIlP6GzG3ZoajnDIpwECzdMV5Vyy8Ast4Y2AiHJckf7rBhZVEU4_mV4JB0k3I9XjN2jHK8Cp5uBxyIWWqPdI6qBBdCYYhYLXUTkKpaZEV98oCfC5ET2Q7OSwUM7NieKa75yzMHwaPEYwg%3D%3D" target="_blank" title=""><span style="text-decoration: underline;">Assembling High-Quality Human Reference Genomes for Global Populations</span></a></li>
<li>FALCON-Phase&nbsp;<a href="http://globenewswire.com/Tracker?data=4Z9LDdRq3w2zYFQXEFGmz6u-Vrbfh96syfzrQMKhegLRo2PUvk7s3Xz_y1o--NuTLoCQMrHsqOEBUHIL1IPeOmhyf6Eqwdp8dv8xYo9gSVI%3D" target="_blank" title=""><span style="text-decoration: underline;">press release</span></a>&nbsp;and article&nbsp;<a href="http://globenewswire.com/Tracker?data=4Z9LDdRq3w2zYFQXEFGmz9Ts_IJqHWWrKd33x_ldJEU9mSKXpcVTTi9ioY0kVqrbrXHeCKDf4TdPnAoPJaGBK3YeZtYp-nXZacgyPESZ1XboSUZEJ9rIhDyW7bTLL5HN" target="_blank" title=""><span style="text-decoration: underline;">preprint</span></a></li>
<li>PacBio research focus webpage about&nbsp;<a href="http://globenewswire.com/Tracker?data=E-zzUkw4N01KR4muPun47qg4HX8ToDvLS4sX953hLM2wRyQZ2upkLR4WidyXTFDRLWQORpqxnkbD-CNzsOJyIfH8mJPbrLwRf04J4yjuNdem-Fulc8QIT3OCi4wx5LpqgC2ymLE0rYX5UOpbFPBgvA%3D%3D" target="_blank" title=""><span style="text-decoration: underline;">Human Population Genetics</span></a></li>
</ul><p>&nbsp;Ref:&nbsp;https://stockguru.com/2018/10/08/pacific-biosciences-releases-highest-quality-most-contiguous-individual-human-genome-assembly-to-date/</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/19555/a-3d-map-of-the-human-genome</guid>
	<pubDate>Fri, 12 Dec 2014 22:27:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/19555/a-3d-map-of-the-human-genome</link>
	<title><![CDATA[A 3D Map of the Human Genome]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/dES-ozV65u4" frameborder="0" allowfullscreen></iframe>Suhas Rao and Miriam Huntley (of the Aiden Lab) describe a 3D map of the human genome at kilobase resolution, revealing the principles of chromatin looping. Guest Origami Folding: Sarah Nyquist.

Suhas S.P. Rao*, Miriam H. Huntley*, Neva C. Durand, Elena K. Stamenova, Ivan D. Bochkov, James T. Robinson, Adrian L. Sanborn, Ido Machol, Arina D. Omer, Eric S. Lander, Erez Lieberman Aiden. (2014). A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping. Cell.]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28417/wisescaffolder</guid>
	<pubDate>Wed, 13 Jul 2016 08:08:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28417/wisescaffolder</link>
	<title><![CDATA[WiseScaffolder]]></title>
	<description><![CDATA[<p>Function</p>
<p>WiseScaffolder is a stand-alone semi-automatic application for genome scaffolding of pre-assembled contigs using mate-pair data. It also produces editable scaffold maps, allowing either to build gapped scaffolds or usable as a common thread for the manual improvement of scaffolds.</p>
<p>Description&nbsp;</p>
<p>WiseScaffolder includes 4 subcommands: dumpconfig generates a configuration file that notably specifies the average insert size of the mate-pair library preprocess allows the detection and correction of chimerae, the estimation of contigs copy number and produces valuable outputs for the manual improvement of scaffolds scaffold constitutes the central scaffold-builder and comprises two modules:</p>
<p>i) the interative_scaffold_extender, which works with big, unambiguous contigs, or when they run out, single copy contigs, and</p>
<p>ii) the small_contig_inserter, which inserts the small contigs within scaffolds buildfasta converts the scaffold(s) map(s) into Fasta sequences.</p><p>Address of the bookmark: <a href="http://abims.sb-roscoff.fr/wisescaffolder" rel="nofollow">http://abims.sb-roscoff.fr/wisescaffolder</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/29638/r-graphical-cookbook-by-winston-chang</guid>
	<pubDate>Fri, 04 Nov 2016 12:50:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/29638/r-graphical-cookbook-by-winston-chang</link>
	<title><![CDATA[R Graphical Cookbook by Winston Chang]]></title>
	<description><![CDATA[<p>R Graphical Cookbook by Winston Chang</p><p>A very nice book by Winston Chang for R ethusiast. The R code presented in these pages is the R code actually used to produce the Figures in the book. There will be differences compared to the code chunks shown in the text of the book, but in most cases the differences will be that these pages contain additional code to lay out multiple plots on a single "page".</p><p>The code presented for each figure is self-contained, i.e., all code required to produce the figure is included. This means that there is sometimes considerable overlap of code between several figures  In some cases, it may be necessary to install an add-on package from CRAN to get the code to run.</p><p>More books at http://www.e-reading.club/bookreader.php/137370/C486x_APPb.pdf</p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/29638" length="37521" type="image/png" />
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27427/rcircos-an-r-package-for-circos-2d-track-plots</guid>
	<pubDate>Fri, 20 May 2016 11:01:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27427/rcircos-an-r-package-for-circos-2d-track-plots</link>
	<title><![CDATA[RCircos: an R package for Circos 2D track plots]]></title>
	<description><![CDATA[<p>RCircos package provides a simple and flexible way to make Circos 2D track plots with R and could be easily integrated into other R data processing and graphic manipulation pipelines for presenting large-scale multi-sample genomic research data. It can also serve as a base tool to generate complex Circos images.</p>
<p>More at https://bitbucket.org/henryhzhang/rcircos/src</p><p>Address of the bookmark: <a href="https://bitbucket.org/henryhzhang/rcircos/src" rel="nofollow">https://bitbucket.org/henryhzhang/rcircos/src</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30540/progressive-cactus</guid>
	<pubDate>Tue, 17 Jan 2017 03:40:06 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30540/progressive-cactus</link>
	<title><![CDATA[Progressive Cactus]]></title>
	<description><![CDATA[<h1><em style="font-size: 12.8px; font-weight: normal;">v0.0 by Glenn Hickey (<a href="mailto:hickey@soe.ucsc.edu">hickey@soe.ucsc.edu</a>)</em></h1>
<p>Progressive Cactus is a whole-genome alignment package.</p>
<h3><a href="https://github.com/glennhickey/progressiveCactus#requirements"></a>Requirements</h3>
<ul>
<li>git</li>
<li>gcc 4.2 or newer</li>
<li>python 2.7</li>
<li>wget</li>
<li>64bit processor and build environment</li>
<li>150GB+ of memory on at least one machine when aligning mammal-sized genomes; less memory is needed for smaller genomes.</li>
<li>Parasol or SGE for cluster support.</li>
<li>750M disk space</li>
</ul>
<h3><a href="https://github.com/glennhickey/progressiveCactus#instructions"></a>Instructions</h3>
<p>IMPORTANT NOTE: Progressive Cactus does not presently support installation into paths that contain spaces. Until this is resolved, you can use a softlink as a workaround: ln -s "path with spaces" "installation path without spaces"</p>
<p>In the parent directory of where you want Progressive Cactus installed:</p>
<pre><code>git clone git://github.com/glennhickey/progressiveCactus.git
cd progressiveCactus
git pull
git submodule update --init
make
</code></pre>
<p>It is also convenient to add the location of&nbsp;<code>progressiveCactus/bin</code>&nbsp;to your PATH environment variable. In order to run the included tools (ex hal2maf) in the submodules/ directory structure, first source&nbsp;<code>progressiveCactus/environment</code>&nbsp;to load the installed environment.</p>
<p>If any errors occur during the build process, you are unlikely to be able to use the tool. Please submit a GitHub issue so we can help out: not only will you help yourself, but others who wish to use the tool as well.</p>
<p><em>Note that all dependencies are also built and included in the submodules/ directory. This increases the size and build time but greatly simplifies installation and version management. The installation does not create or modify any files outside the progressiveCactus/ directory.</em></p><p>Address of the bookmark: <a href="https://github.com/glennhickey/progressiveCactus" rel="nofollow">https://github.com/glennhickey/progressiveCactus</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41991/sequence-ontology-bioinformatics-analysis-soba-tool-to-provide-a-simple-statistical-and-graphical-summary-of-an-annotated-genome</guid>
	<pubDate>Wed, 22 Jul 2020 10:11:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41991/sequence-ontology-bioinformatics-analysis-soba-tool-to-provide-a-simple-statistical-and-graphical-summary-of-an-annotated-genome</link>
	<title><![CDATA[Sequence Ontology Bioinformatics Analysis (SOBA) tool to provide a simple statistical and graphical summary of an annotated genome]]></title>
	<description><![CDATA[<p><span>We have developed the Sequence Ontology Bioinformatics Analysis (SOBA) tool to provide a simple statistical and graphical summary of an annotated genome. We envisage its use during annotation jamborees, genome comparison and for use by developers for rapid feedback during annotation software development and testing. SOBA also provides annotation consistency feedback to ensure correct use of terminology within annotations, and guides users to add new terms to the Sequence Ontology when required. SOBA is available at http://www.sequenceontology.org/cgi-bin/soba.cgi.</span></p>
<p><span>More at <a href="https://pubmed.ncbi.nlm.nih.gov/20494974/">https://pubmed.ncbi.nlm.nih.gov/20494974/</a></span></p><p>Address of the bookmark: <a href="http://www.sequenceontology.org/cgi-bin/soba.cgi" rel="nofollow">http://www.sequenceontology.org/cgi-bin/soba.cgi</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

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