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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44481?offset=40</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40208/ragoo-fast-reference-guided-scaffolding-of-genome-assembly-contigs</guid>
	<pubDate>Sun, 27 Oct 2019 00:57:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40208/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/Misassembly-Correction">Misassembly 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>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36808/whatshap-fast-and-accurate-read-based-phasing</guid>
	<pubDate>Mon, 28 May 2018 09:52:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36808/whatshap-fast-and-accurate-read-based-phasing</link>
	<title><![CDATA[WhatsHap: fast and accurate read-based phasing]]></title>
	<description><![CDATA[<p>WhatsHap is a software for phasing genomic variants using DNA sequencing reads, also called read-based phasing or haplotype assembly. It is especially suitable for long reads, but works also well with short reads.</p>
<h1>Features<a href="https://whatshap.readthedocs.io/en/latest/#features" title="Permalink to this headline"></a></h1>
<blockquote>
<div>
<ul>
<li>Very accurate results (Martin et al.,&nbsp;<a href="https://doi.org/10.1101/085050">WhatsHap: fast and accurate read-based phasing</a>)</li>
<li>Works well with Illumina, PacBio, Oxford Nanopore and other types of reads</li>
<li>It phases SNVs, indels and even &ldquo;complex&rdquo; variants (such as&nbsp;<code><span>TCG</span></code>&nbsp;&rarr;&nbsp;<code><span>AGAA</span></code>)</li>
<li>Pedigree phasing mode uses reads from related individuals (such as trios) to improve results and to reduce coverage requirements (Garg et al.,&nbsp;<a href="https://doi.org/10.1093/bioinformatics/btw276">Read-Based Phasing of Related Individuals</a>).</li>
<li>WhatsHap is&nbsp;<a href="https://whatshap.readthedocs.io/en/latest/installation.html#installation">easy to install</a></li>
<li>It is&nbsp;<a href="https://whatshap.readthedocs.io/en/latest/guide.html#user-guide">easy to use</a>: Pass in a VCF and one or more BAM files, get out a phased VCF. Supports multi-sample VCFs.</li>
<li>It produces standard-compliant VCF output by default</li>
<li>If desired, get output that is compatible with ReadBackedPhasing</li>
<li>Open Source (MIT license)</li>
</ul>
</div>
</blockquote><p>Address of the bookmark: <a href="https://whatshap.readthedocs.io/en/latest/" rel="nofollow">https://whatshap.readthedocs.io/en/latest/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37602/indexcov-fast-coverage-quality-control-for-whole-genome-sequencing</guid>
	<pubDate>Wed, 29 Aug 2018 09:20:46 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37602/indexcov-fast-coverage-quality-control-for-whole-genome-sequencing</link>
	<title><![CDATA[Indexcov: fast coverage quality control for whole-genome sequencing]]></title>
	<description><![CDATA[<p><em>indexcov</em><span>, an efficient estimator of whole-genome sequencing coverage to rapidly identify samples with aberrant coverage profiles, reveal large-scale chromosomal anomalies, recognize potential batch effects, and infer the sex of a sample.&nbsp;</span><em>Indexcov</em><span>&nbsp;is available at&nbsp;</span><a href="https://github.com/brentp/goleft" target="_blank">https://github.com/brentp/goleft</a><span>&nbsp;under the MIT license.</span></p><p>Address of the bookmark: <a href="https://github.com/brentp/goleft" rel="nofollow">https://github.com/brentp/goleft</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38208/anitools-web-a-web-tool-for-fast-genome-comparison-within-multiple-bacterial-strains</guid>
	<pubDate>Wed, 14 Nov 2018 04:34:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38208/anitools-web-a-web-tool-for-fast-genome-comparison-within-multiple-bacterial-strains</link>
	<title><![CDATA[ANItools web: a web tool for fast genome comparison within multiple bacterial strains]]></title>
	<description><![CDATA[<p><span>ANItools is a software package written by PERL scripts that can be run in a Linux/Unix system. If you want to compare bacterial genomes and calculate their average nucleotide identity (ANI), you could download and run this program directly. Or you could send us the genome sequence by email. Then we will do the analysis work for you.</span></p>
<p><span>https://academic.oup.com/database/article/doi/10.1093/database/baw084/2630454</span></p><p>Address of the bookmark: <a href="http://ani.mypathogen.cn/" rel="nofollow">http://ani.mypathogen.cn/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41592/refka-a-fast-and-efficient-long-read-genome-assembly-approach-for-large-and-complex-genomes</guid>
	<pubDate>Fri, 01 May 2020 03:00:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41592/refka-a-fast-and-efficient-long-read-genome-assembly-approach-for-large-and-complex-genomes</link>
	<title><![CDATA[RefKA: A fast and efficient long-read genome assembly approach for large and complex genomes]]></title>
	<description><![CDATA[<p><span>RefKA, a reference-based approach for long read genome assembly. This approach relies on breaking up a closely related reference genome into bins, aligning k-mers unique to each bin with PacBio reads, and then assembling each bin in parallel followed by a final bin-stitching step.</span></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/AppliedBioinformatics/RefKA" rel="nofollow">https://github.com/AppliedBioinformatics/RefKA</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44641/heliano-a-fast-and-accurate-tool-for-detection-of-helitron-like-elements</guid>
	<pubDate>Tue, 13 Aug 2024 07:16:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44641/heliano-a-fast-and-accurate-tool-for-detection-of-helitron-like-elements</link>
	<title><![CDATA[HELIANO: A fast and accurate tool for detection of Helitron-like elements]]></title>
	<description><![CDATA[<p><span>Helitron-like elements (HLE1 and HLE2) are DNA transposons. They have been found in diverse species and seem to play significant roles in the evolution of host genomes. Although known for over twenty years, Helitron sequences are still challenging to identify. Here, we propose HELIANO (Helitron-like elements annotator) as an efficient solution for detecting Helitron-like elements.</span></p>
<p>https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkae679/7730539?login=true</p><p>Address of the bookmark: <a href="https://github.com/Zhenlisme/heliano/" rel="nofollow">https://github.com/Zhenlisme/heliano/</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<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/35148/mojolicious-a-next-generation-web-framework-for-the-perl-programming-language</guid>
	<pubDate>Fri, 12 Jan 2018 16:48:10 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35148/mojolicious-a-next-generation-web-framework-for-the-perl-programming-language</link>
	<title><![CDATA[mojolicious: a next generation web framework for the Perl programming language.]]></title>
	<description><![CDATA[<p><span>Back in the early days of the web, many people learned Perl because of a wonderful Perl library called&nbsp;</span><a href="https://metacpan.org/module/CGI" target="_blank">CGI</a><span>. It was simple enough to get started without knowing much about the language and powerful enough to keep you going, learning by doing was much fun. While most of the techniques used are outdated now, the idea behind it is not. Mojolicious is a new endeavor to implement this idea using bleeding edge technologies.</span></p>
<h2>Features</h2>
<ul>
<li>An amazing&nbsp;<strong>real-time web framework</strong>, allowing you to easily grow single file prototypes into well-structured MVC web applications.
<ul>
<li>Powerful out of the box with RESTful routes, plugins, commands, Perl-ish templates, content negotiation, session management, form validation, testing framework, static file server, CGI/<a href="http://plackperl.org/" target="_blank">PSGI</a>&nbsp;detection, first class Unicode support and much more for you to discover.</li>
</ul>
</li>
<li>A powerful&nbsp;<strong>web development toolkit</strong>, that you can use for all kinds of applications, independently of the web framework.
<ul>
<li>Full stack HTTP and WebSocket client/server implementation with IPv6, TLS, SNI, IDNA, HTTP/SOCKS5 proxy, UNIX domain socket, Comet (long polling), Promises/A+, keep-alive, connection pooling, timeout, cookie, multipart and gzip compression support.</li>
<li>Built-in non-blocking I/O web server, supporting multiple event loops as well as optional pre-forking and hot deployment, perfect for building highly scalable web services.</li>
<li>JSON and HTML/XML parser with CSS selector support.</li>
</ul>
</li>
<li>Very clean, portable and object-oriented pure-Perl API with no hidden magic and no requirements besides Perl 5.24.0 (versions as old as 5.10.1 can be used too, but may require additional CPAN modules to be installed)</li>
<li>Fresh code based upon years of experience developing&nbsp;<a href="http://catalystframework.org/" target="_blank">Catalyst</a>, free and open source.</li>
<li>Hundreds of 3rd party&nbsp;<a href="https://metacpan.org/requires/distribution/Mojolicious">extensions</a>&nbsp;and high quality spin-off projects like the&nbsp;<a href="https://metacpan.org/pod/Minion">Minion</a>&nbsp;job queue.</li>
</ul>
<p>http://mojolicious.org/</p><p>Address of the bookmark: <a href="http://mojolicious.org/" rel="nofollow">http://mojolicious.org/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38489/biotite-a-general-framework-for-computational-biology</guid>
	<pubDate>Mon, 17 Dec 2018 18:52:27 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38489/biotite-a-general-framework-for-computational-biology</link>
	<title><![CDATA[Biotite: A general framework for computational biology]]></title>
	<description><![CDATA[<p><span>The package is open source and freely available at GitHub (</span><span><a href="https://github.com/biotite-dev/biotite" target="_blank">https://github.com/biotite-dev/biotite</a></span><span>). This package is simple to use especially for the beginners in programming and computationally efficient because of the implementation of Numpy and Cython.&nbsp;Biotite consists of four sub packages: sequence, structure, databases, and application. The&nbsp;</span><em>sequence</em><span>&nbsp;and&nbsp;</span><em>structure</em><span>&nbsp;modules serve for the analysis of sequence and structural data analysis respectively,&nbsp;</span><em>database</em><span>&nbsp;downloads files from the other databases such as RCSB PDB, and&nbsp;</span><em>application</em><span>&nbsp;provides interface for external software.&nbsp;</span></p>
<p><span><span>The&nbsp;</span><em>Biotite</em><span>&nbsp;package bundles popular tasks in computational biology into an unifying framework, which is easy to use on the one hand side, but is also computationally efficient due to intensive usage of&nbsp;</span><em>NumPy</em><span>&nbsp;and&nbsp;</span><em>Cython</em><span>. This package focuses on working with sequence and structure data and supports various file formats and analysis and manipulation functions.</span></span></p><p>Address of the bookmark: <a href="https://github.com/biotite-dev/biotite" rel="nofollow">https://github.com/biotite-dev/biotite</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40221/dash-a-web-application-framework-that-provides-pure-python-abstraction-around-html-css-and-javascript</guid>
	<pubDate>Tue, 05 Nov 2019 06:39:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40221/dash-a-web-application-framework-that-provides-pure-python-abstraction-around-html-css-and-javascript</link>
	<title><![CDATA[Dash: a web application framework that provides pure Python abstraction around HTML, CSS, and JavaScript.]]></title>
	<description><![CDATA[<p style="margin-top: 0px; margin-bottom: 0.75rem;">Dash is a web application framework that provides pure Python abstraction around HTML, CSS, and JavaScript.</p>
<p style="margin-top: 0px; margin-bottom: 0.75rem;">Dash Bio is a suite of bioinformatics components that make it simpler to analyze and visualize bioinformatics data and interact with them in a Dash application.</p>
<p style="margin-top: 0px; margin-bottom: 0.75rem;">The source can be found on GitHub at<span>&nbsp;</span><a href="https://github.com/plotly/dash-bio">plotly/dash-bio</a>.</p>
<p style="margin-top: 0px; margin-bottom: 0.75rem;">These docs are using Dash Bio version 0.1.4.</p><p>Address of the bookmark: <a href="https://dash.plot.ly/dash-bio" rel="nofollow">https://dash.plot.ly/dash-bio</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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