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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44377?offset=70</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32948/simba-a-web-tool-for-managing-bacterial-genome-assembly-generated-by-ion-pgm-sequencing-technology</guid>
	<pubDate>Tue, 23 May 2017 05:28:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32948/simba-a-web-tool-for-managing-bacterial-genome-assembly-generated-by-ion-pgm-sequencing-technology</link>
	<title><![CDATA[SIMBA: a web tool for managing bacterial genome assembly generated by Ion PGM sequencing technology]]></title>
	<description><![CDATA[<p><span>SIMBA</span><span>, SImple Manager for Bacterial Assemblies, is a Web interface for managing assembly projects of bacterial genomes. SIMBA was created to assist bioinformaticians to assemble bacterial genomes sequenced with NextGeneration Sequencing (NGS) platforms quickly, easily and effectively. SIMBA also is open source tool, i.e., can be freely downloaded, shared and modified.</span></p>
<p>https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1344-7</p><p>Address of the bookmark: <a href="http://ufmg-simba.sourceforge.net/" rel="nofollow">http://ufmg-simba.sourceforge.net/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</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/bookmarks/view/39269/ragoo-fast-reference-guided-scaffolding-of-genome-assembly-contigs</guid>
	<pubDate>Wed, 17 Apr 2019 19:45:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39269/ragoo-fast-reference-guided-scaffolding-of-genome-assembly-contigs</link>
	<title><![CDATA[RaGOO: Fast Reference-Guided Scaffolding of Genome Assembly Contigs]]></title>
	<description><![CDATA[<p>Alonge M, Soyk S, Ramakrishnan S, Wang X, Goodwin S, Sedlazeck FJ, Lippman ZB, Schatz MC:&nbsp;<a href="https://www.biorxiv.org/content/early/2019/01/13/519637">Fast and accurate reference-guided scaffolding of draft genomes</a>.&nbsp;<em>bioRxiv</em>&nbsp;2019.</p>
<p>RaGOO is a tool for coalescing genome assembly contigs into pseudochromosomes via minimap2 alignments to a closely related reference genome. The focus of this tool is on practicality and therefore has the following features:</p>
<ol>
<li>Good performance. On a MacBook Pro using Arabidopsis data, pseudochromosome construction takes less than a minute and the whole pipeline with SV calling takes ~2 minutes.</li>
<li>Intact ordering and orienting of contigs.</li>
<li><a href="https://github.com/malonge/RaGOO/wiki/Breaking-Chimeric-Contigs">Chimeric contig correction</a></li>
<li><a href="https://github.com/malonge/RaGOO/wiki/GFF-File-Lift-Over">GFF lift-over</a></li>
<li><a href="https://github.com/malonge/RaGOO/wiki/Calling-Structural-Variants">Structural variant calling with and integrated version of Assemblytics</a></li>
<li>Confidence scores associated with the grouping, localization, and orientation for each contig.</li>
</ol><p>Address of the bookmark: <a href="https://github.com/malonge/RaGOO" rel="nofollow">https://github.com/malonge/RaGOO</a></p>]]></description>
	<dc:creator>BioJoker</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44366/mitofinder</guid>
	<pubDate>Tue, 29 Aug 2023 02:13:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44366/mitofinder</link>
	<title><![CDATA[MitoFinder]]></title>
	<description><![CDATA[<p dir="auto">Allio, R., Schomaker-Bastos, A., Romiguier, J., Prosdocimi, F., Nabholz, B., &amp; Delsuc, F. (2020) Mol Ecol Resour. 20, 892-905. (<a href="https://doi.org/10.1111/1755-0998.13160">publication link</a>)</p>
<p dir="auto" style="text-align: center;"><a href="https://github.com/RemiAllio/MitoFinder/blob/master/image/logo.png" target="_blank"><img src="https://github.com/RemiAllio/MitoFinder/raw/master/image/logo.png" alt="Drawing" width="250" style="border: 0px;"></a></p>
<p dir="auto"><span>Mitofinder</span>&nbsp;is a pipeline to&nbsp;<span>assemble</span>&nbsp;mitochondrial genomes and&nbsp;<span>annotate</span>&nbsp;mitochondrial genes from trimmed read sequencing data.</p>
<p dir="auto"><span>MitoFinder</span>&nbsp;is also designed to&nbsp;<span>find</span>&nbsp;and&nbsp;<span>annotate</span>&nbsp;mitochondrial sequences in existing genomic assemblies (generated from Hifi/PacBio/Nanopore/Illumina sequencing data...)</p>
<p dir="auto"><span>MitoFinder</span>&nbsp;is distributed under the&nbsp;<a href="https://github.com/RemiAllio/MitoFinder/blob/master/License/LICENSE">license</a>.</p><p>Address of the bookmark: <a href="https://github.com/RemiAllio/MitoFinder" rel="nofollow">https://github.com/RemiAllio/MitoFinder</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43652/peregrine-shimmer-genome-assembly-toolkit</guid>
	<pubDate>Thu, 16 Dec 2021 02:50:19 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43652/peregrine-shimmer-genome-assembly-toolkit</link>
	<title><![CDATA[Peregrine &amp; SHIMMER Genome Assembly Toolkit]]></title>
	<description><![CDATA[<p><span>Peregrine is a fast genome assembler for accurate long reads (length &gt; 10kb, accuracy &gt; 99%). It can assemble a human genome from 30x reads within 20 cpu hours from reads to polished consensus. It uses Sparse HIereachical MimiMizER (SHIMMER) for fast read-to-read overlaping without quadratic comparisions used in other OLC assemblers.</span></p><p>Address of the bookmark: <a href="https://github.com/cschin/Peregrine" rel="nofollow">https://github.com/cschin/Peregrine</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37211/jbrowse-embeddable-genome-browser-built-completely-with-javascript-and-html5</guid>
	<pubDate>Fri, 29 Jun 2018 09:19:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37211/jbrowse-embeddable-genome-browser-built-completely-with-javascript-and-html5</link>
	<title><![CDATA[JBrowse: Embeddable genome browser built completely with JavaScript and HTML5]]></title>
	<description><![CDATA[JBrowse is a fast, embeddable genome browser built completely with JavaScript and HTML5, with optional run-once data formatting tools written in Perl.

Headline Features:
Fast, smooth scrolling and zooming. Explore your genome with unparalleled speed.
Scales easily to multi-gigabase genomes and deep-coverage sequencing.
Quickly open and view data files on your computer without uploading them to any server.
Supports GFF3, BED, FASTA, Wiggle, BigWig, BAM, VCF (with either .tbi or .idx index), REST, and more.  BAM, BigBed, BigWig, and VCF data are displayed directly from chunks of the compressed binary files, no conversion needed.
Includes an optional “faceted” track selector (see demo) suitable for large installations with thousands of tracks.
Very light server resource requirements. In fact, JBrowse has no back-end server code, just tools for formatting data files to be read directly over HTTP. Serve huge datasets from a single low-cost cloud instance.
Can run as a stand-alone app on OSX and Windows using the Electron platform
Highly extensible plugin architecture, with a large plugin registry of existing examples here https://gmod.github.io/jbrowse-registry

https://jbrowse.org/<p>Address of the bookmark: <a href="https://github.com/GMOD/jbrowse" rel="nofollow">https://github.com/GMOD/jbrowse</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38023/mitos-improved-de-novo-metazoan-mitochondrial-genome-annotation</guid>
	<pubDate>Fri, 26 Oct 2018 08:25:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38023/mitos-improved-de-novo-metazoan-mitochondrial-genome-annotation</link>
	<title><![CDATA[MITOS: improved de novo metazoan mitochondrial genome annotation]]></title>
	<description><![CDATA[<p><span>Allows automatic annotation of metazoan mitochondrial genomes. MITOS is a pipeline designed to compute a consistent de novo annotation of the mitogenomic sequences. The software allows for a systematic error screening, the standardisation of gene name and gene boundary designation, anticodon labelling of tRNAs, and provides the means for the assessment of the validity of a gene assignment.</span></p><p>Address of the bookmark: <a href="http://mitos.bioinf.uni-leipzig.de/index.py" rel="nofollow">http://mitos.bioinf.uni-leipzig.de/index.py</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40531/shasta-long-read-assembler</guid>
	<pubDate>Tue, 14 Jan 2020 06:47:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40531/shasta-long-read-assembler</link>
	<title><![CDATA[Shasta long read assembler]]></title>
	<description><![CDATA[<p>The goal of the Shasta long read assembler is to rapidly produce accurate assembled sequence using as input DNA reads generated by&nbsp;<a href="https://nanoporetech.com/">Oxford Nanopore</a>&nbsp;flow cells.</p>
<p>Computational methods used by the Shasta assembler include:</p>
<ul>
<li>Using a&nbsp;<a href="https://en.wikipedia.org/wiki/Run-length_encoding">run-length</a>&nbsp;representation of the read sequence. This makes the assembly process more resilient to errors in homopolymer repeat counts, which are the most common type of errors in Oxford Nanopore reads.</li>
<li>Using in some phases of the computation a representation of the read sequence based on&nbsp;<em>markers</em>, a fixed subset of short k-mers (k &asymp; 10).</li>
</ul>
<p>More at&nbsp;<a href="https://chanzuckerberg.github.io/shasta/index.html">https://chanzuckerberg.github.io/shasta/index.html</a></p><p>Address of the bookmark: <a href="https://github.com/chanzuckerberg/shasta" rel="nofollow">https://github.com/chanzuckerberg/shasta</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43791/comparative-genomics-visualisation-tools</guid>
	<pubDate>Thu, 17 Feb 2022 05:37:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43791/comparative-genomics-visualisation-tools</link>
	<title><![CDATA[Comparative genomics visualisation tools !]]></title>
	<description><![CDATA[<p>Comparative genomics visualisation tools !</p><p>Address of the bookmark: <a href="https://cmdcolin.github.io/awesome-genome-visualization/?latest=true&amp;selected=%23BRIG&amp;tag=Comparative" rel="nofollow">https://cmdcolin.github.io/awesome-genome-visualization/?latest=true&amp;selected=%23BRIG&amp;tag=Comparative</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/34418/spades-hybrid-genome-assembly</guid>
	<pubDate>Mon, 27 Nov 2017 08:05:40 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/34418/spades-hybrid-genome-assembly</link>
	<title><![CDATA[SPAdes hybrid genome assembly]]></title>
	<description><![CDATA[<p>When you have both Illumina and Nanopore data, then SPAdes remains a good option for hybrid assembly - SPAdes was used to produce the&nbsp;<a href="https://gigascience.biomedcentral.com/articles/10.1186/s13742-015-0101-6">B fragilis assembly</a>&nbsp;by Mick Watson&rsquo;s group.</p><p>Again, running spades.py will show you the options:</p><div><pre><code>spades.py
</code></pre></div><p>This produces:</p><div><pre><code>SPAdes genome assembler v3.10.1

Usage: /usr/local/SPAdes-3.10.1-Linux/bin/spades.py [options] -o &lt;output_dir&gt;

Basic options:
-o      &lt;output_dir&gt;    directory to store all the resulting files (required)
--sc                    this flag is required for MDA (single-cell) data
--meta                  this flag is required for metagenomic sample data
--rna                   this flag is required for RNA-Seq data
--plasmid               runs plasmidSPAdes pipeline for plasmid detection
--iontorrent            this flag is required for IonTorrent data
--test                  runs SPAdes on toy dataset
-h/--help               prints this usage message
-v/--version            prints version

Input data:
--12    &lt;filename&gt;      file with interlaced forward and reverse paired-end reads
-1      &lt;filename&gt;      file with forward paired-end reads
-2      &lt;filename&gt;      file with reverse paired-end reads
-s      &lt;filename&gt;      file with unpaired reads
--pe&lt;#&gt;-12      &lt;filename&gt;      file with interlaced reads for paired-end library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--pe&lt;#&gt;-1       &lt;filename&gt;      file with forward reads for paired-end library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--pe&lt;#&gt;-2       &lt;filename&gt;      file with reverse reads for paired-end library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--pe&lt;#&gt;-s       &lt;filename&gt;      file with unpaired reads for paired-end library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--pe&lt;#&gt;-&lt;or&gt;    orientation of reads for paired-end library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9; &lt;or&gt; = fr, rf, ff)
--s&lt;#&gt;          &lt;filename&gt;      file with unpaired reads for single reads library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--mp&lt;#&gt;-12      &lt;filename&gt;      file with interlaced reads for mate-pair library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--mp&lt;#&gt;-1       &lt;filename&gt;      file with forward reads for mate-pair library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--mp&lt;#&gt;-2       &lt;filename&gt;      file with reverse reads for mate-pair library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--mp&lt;#&gt;-s       &lt;filename&gt;      file with unpaired reads for mate-pair library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--mp&lt;#&gt;-&lt;or&gt;    orientation of reads for mate-pair library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9; &lt;or&gt; = fr, rf, ff)
--hqmp&lt;#&gt;-12    &lt;filename&gt;      file with interlaced reads for high-quality mate-pair library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--hqmp&lt;#&gt;-1     &lt;filename&gt;      file with forward reads for high-quality mate-pair library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--hqmp&lt;#&gt;-2     &lt;filename&gt;      file with reverse reads for high-quality mate-pair library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--hqmp&lt;#&gt;-s     &lt;filename&gt;      file with unpaired reads for high-quality mate-pair library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--hqmp&lt;#&gt;-&lt;or&gt;  orientation of reads for high-quality mate-pair library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9; &lt;or&gt; = fr, rf, ff)
--nxmate&lt;#&gt;-1   &lt;filename&gt;      file with forward reads for Lucigen NxMate library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--nxmate&lt;#&gt;-2   &lt;filename&gt;      file with reverse reads for Lucigen NxMate library number &lt;#&gt; (&lt;#&gt; = 1,2,..,9)
--sanger        &lt;filename&gt;      file with Sanger reads
--pacbio        &lt;filename&gt;      file with PacBio reads
--nanopore      &lt;filename&gt;      file with Nanopore reads
--tslr  &lt;filename&gt;      file with TSLR-contigs
--trusted-contigs       &lt;filename&gt;      file with trusted contigs
--untrusted-contigs     &lt;filename&gt;      file with untrusted contigs

Pipeline options:
--only-error-correction runs only read error correction (without assembling)
--only-assembler        runs only assembling (without read error correction)
--careful               tries to reduce number of mismatches and short indels
--continue              continue run from the last available check-point
--restart-from  &lt;cp&gt;    restart run with updated options and from the specified check-point ('ec', 'as', 'k&lt;int&gt;', 'mc')
--disable-gzip-output   forces error correction not to compress the corrected reads
--disable-rr            disables repeat resolution stage of assembling

Advanced options:
--dataset       &lt;filename&gt;      file with dataset description in YAML format
-t/--threads    &lt;int&gt;           number of threads
                                [default: 16]
-m/--memory     &lt;int&gt;           RAM limit for SPAdes in Gb (terminates if exceeded)
                                [default: 250]
--tmp-dir       &lt;dirname&gt;       directory for temporary files
                                [default: &lt;output_dir&gt;/tmp]
-k              &lt;int,int,...&gt;   comma-separated list of k-mer sizes (must be odd and
                                less than 128) [default: 'auto']
--cov-cutoff    &lt;float&gt;         coverage cutoff value (a positive float number, or 'auto', or 'off') [default: 'off']
--phred-offset  &lt;33 or 64&gt;      PHRED quality offset in the input reads (33 or 64)
                                [default: auto-detect]
</code></pre></div><p>As you can see this is also a &ldquo;pipeline&rdquo; of tools that can be switched on or off. SPAdes takes quite a long time, so for the purposes of this practical, something like this may suffice:</p><div><pre><code>spades.py -t 4 <span>\</span>
          -m 32 <span>\</span>
          -k 31,51,71 <span>\</span>
          --only-assembler <span>\</span>
          -1 miseq.1.fastq -2 miseq.2.fastq <span>\</span>
          --nanopore minion.fastq <span>\</span>
          -o hybrid_assembly
</code></pre></div><p>In turn, these parameters mean</p><ul>
<li>use 4 threads</li>
<li>max memory is 32Gb</li>
<li>use 3 kmer values to build the de bruijn graph(s) - 31, 51 and 71</li>
<li>only run the assembler, not the correction algorithm (for speed)</li>
<li>read 1 and read 2 of the MiSeq data</li>
<li>the nanopore data</li>
<li>put the output in folder &ldquo;hybrid_assembly&rdquo;</li>
</ul>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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