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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31345?offset=70</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29123/artemis-comparison-tool-act</guid>
	<pubDate>Wed, 07 Sep 2016 03:54:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29123/artemis-comparison-tool-act</link>
	<title><![CDATA[Artemis Comparison Tool (ACT)]]></title>
	<description><![CDATA[<p><span>ACT is a Java application for displaying pairwise comparisons between two or more DNA sequences. It can be used to identify and analyse regions of similarity and difference between genomes and to explore conservation of synteny, in the context of the entire sequences and their annotation.&nbsp;It can read complete EMBL,&nbsp;GENBANK and GFF entries or sequences in FASTA or raw format.&nbsp;</span></p><p>Address of the bookmark: <a href="http://www.sanger.ac.uk/science/tools/artemis-comparison-tool-act" rel="nofollow">http://www.sanger.ac.uk/science/tools/artemis-comparison-tool-act</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29008/circos-visualize</guid>
	<pubDate>Fri, 02 Sep 2016 08:29:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29008/circos-visualize</link>
	<title><![CDATA[CIRCOS Visualize !!]]></title>
	<description><![CDATA[<p>Before uploading a data file, check the&nbsp;<a href="http://mkweb.bcgsc.ca/tableviewer/samples">samples gallery</a>&nbsp;to make sure that your data format is compatible.</p>
<ul>
<li>Your file must be&nbsp;<strong>plain text</strong>.</li>
<li>Your data values must be&nbsp;<strong>non-negative integers</strong>.</li>
<li>Data must be space-separated (<strong>one or more</strong>&nbsp;tab or space, which will be collapsed).</li>
<li>No two rows or columns may have the same name.</li>
<li>Column and row names must&nbsp;<strong>begin with a letter</strong>&nbsp;(e.g. 'A', 'A0', 'A-0') and can only contain letters, numbers and _. No punctuation!</li>
<li>Maximum row + column total is 150 &mdash; if exceeded, rows and columns are limited to 75.</li>
<li>If you are using order, size and color rows/columns in combination they must appear in that order.</li>
</ul>
<p>Need help? Post questions to the&nbsp;<a href="https://groups.google.com/forum/#!forum/circos-data-visualization">Circos Google Group</a>.</p>
<p>http://mkweb.bcgsc.ca/tableviewer/visualize/</p><p>Address of the bookmark: <a href="http://mkweb.bcgsc.ca/tableviewer/visualize/" rel="nofollow">http://mkweb.bcgsc.ca/tableviewer/visualize/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29112/sybil</guid>
	<pubDate>Wed, 07 Sep 2016 03:20:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29112/sybil</link>
	<title><![CDATA[Sybil]]></title>
	<description><![CDATA[<p><span>The Sybil software package provides a primarily web-based front-end to comparative genome datasets warehoused in a chado relational database. It was developed by the bioinformatics department at The Institute for Genomic Research (</span><a href="http://www.tigr.org/">TIGR</a><span>) and development continues at the J. Craig Venter Institute (</span><a href="http://jcvi.org/">JCVI</a><span>) and the Institute for Genome Sciences (</span><a href="http://igs.umaryland.edu/">IGS</a><span>) at the University of Maryland: Baltimore. Sybil has been used at TIGR/JCVI, IGS, NYU, New York Medical College, Novartis Vaccines and University of Maryland: College Park to support a number of research projects that involve comparative genome analysis. The following sections provide some high-level technical details about the overall architecture and external dependencies of the Sybil package.</span></p><p>Address of the bookmark: <a href="http://sybil.sourceforge.net/" rel="nofollow">http://sybil.sourceforge.net/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29382/virmet</guid>
	<pubDate>Mon, 10 Oct 2016 08:27:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29382/virmet</link>
	<title><![CDATA[VirMet]]></title>
	<description><![CDATA[<p>Watch out: only a few files are counted in coverage statistics.</p>
<p>Full documentation on&nbsp;<a href="http://virmet.rtfd.org/en/latest/">Read the Docs</a>.</p>
<p>A set of tools for viral metagenomics.</p>
<p>virmet is called with a command subcommand syntax:&nbsp;<code>virmet fetch --viral n</code>, for example, downloads the bacterial database. Other available subcommands so far are</p>
<ul>
<li><code>fetch</code>&nbsp;download genomes</li>
<li><code>update</code>&nbsp;update viral/bacterial database</li>
<li><code>index</code>&nbsp;index genomes</li>
<li><code>wolfpack</code>&nbsp;analyze a Miseq run</li>
<li><code>covplot</code>&nbsp;plot coverage for a specific organism</li>
</ul>
<p>A short help is obtained with&nbsp;<code>virmet subcommand -h</code>.</p>
<p>More at&nbsp;https://github.com/ozagordi/VirMet</p><p>Address of the bookmark: <a href="https://github.com/ozagordi/VirMet" rel="nofollow">https://github.com/ozagordi/VirMet</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29500/genomescope-open-source-web-tool-to-rapidly-estimate-the-overall-characteristics-of-a-genome-including-genome-size-heterozygosity-rate-and-repeat-content-from-unprocessed-short-reads</guid>
	<pubDate>Fri, 21 Oct 2016 05:46:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29500/genomescope-open-source-web-tool-to-rapidly-estimate-the-overall-characteristics-of-a-genome-including-genome-size-heterozygosity-rate-and-repeat-content-from-unprocessed-short-reads</link>
	<title><![CDATA[GenomeScope: open-source web tool to rapidly estimate the overall characteristics of a genome, including genome size, heterozygosity rate, and repeat content from unprocessed short reads]]></title>
	<description><![CDATA[<div>
<div>
<div>
<div id="content-block-markup">
<div>
<div id="abstract-1">
<p id="p-2">Summary: GenomeScope is an open-source web tool to rapidly estimate the overall characteristics of a genome, including genome size, heterozygosity rate, and repeat content from unprocessed short reads. These features are essential for studying genome evolution, and help to choose parameters for downstream analysis. We demonstrate its accuracy on 324 simulated and 16 real datasets with a wide range in genome sizes, heterozygosity levels, and error rates. Availability and Implementation: http://qb.cshl.edu/genomescope/, https://github.com/schatzlab/genomescope.git</p>
</div>
<span></span></div>
<span></span></div>
</div>
</div>
</div><p>Address of the bookmark: <a href="http://qb.cshl.edu/genomescope/" rel="nofollow">http://qb.cshl.edu/genomescope/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29628/links</guid>
	<pubDate>Fri, 04 Nov 2016 06:19:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29628/links</link>
	<title><![CDATA[LINKS]]></title>
	<description><![CDATA[<p>LINKS is a genomics application for scaffolding genome assemblies with long reads, such as those produced by Oxford Nanopore Technologies Ltd. It can be used to scaffold high-quality draft genome assemblies with any long sequences (eg. ONT reads, PacBio reads, another draft genomes, etc)</p>
<p>Paper at&nbsp;https://gigascience.biomedcentral.com/articles/10.1186/s13742-015-0076-3</p><p>Address of the bookmark: <a href="https://github.com/warrenlr/LINKS/" rel="nofollow">https://github.com/warrenlr/LINKS/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/42559/sample-bandage-input-file-for-visual-analysis</guid>
	<pubDate>Wed, 06 Jan 2021 03:51:50 -0600</pubDate>
	<link>https://bioinformaticsonline.com/file/view/42559/sample-bandage-input-file-for-visual-analysis</link>
	<title><![CDATA[Sample bandage input file for visual analysis]]></title>
	<description><![CDATA[<p>Sample bandage input file for visual analysis ...</p>]]></description>
	<dc:creator>Jit</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/42559" length="112199" type="text/plain" />
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34328/dfast-a-flexible-prokaryotic-genome-annotation-pipeline-for-faster-genome-publication</guid>
	<pubDate>Tue, 14 Nov 2017 10:26:16 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34328/dfast-a-flexible-prokaryotic-genome-annotation-pipeline-for-faster-genome-publication</link>
	<title><![CDATA[DFAST: a flexible prokaryotic genome annotation pipeline for faster genome publication]]></title>
	<description><![CDATA[<p>We developed a prokaryotic genome annotation pipeline, DFAST, that also supports genome submission to public sequence databases. DFAST was originally started as an on-line annotation server, and to date, over 7,000 jobs have been processed since its first launch in 2016. Here, we present a newly implemented background annotation engine for DFAST, which is also available as a standalone command-line program. The new engine can annotate a typical-sized bacterial genome within 10 minutes, with rich information such as pseudogenes, translation exceptions, and orthologous gene assignment between given reference genomes. In addition, the modular framework of DFAST allows users to customize the annotation workflow easily and will also facilitate extensions for new functions and incorporation of new tools in the future.</p>
<div>Availability and Implementation</div>
<p>The software is implemented in Python 3 and runs in both Python 2.7 and 3.4&ndash; on Macintosh and Linux systems. It is freely available at&nbsp;<a href="https://github.com/nigyta/dfast_core/" target="">https://github.com/nigyta/dfast_core/</a>&nbsp;under the GPLv3 license with external binaries bundled in the software distribution. An on-line version is also available at&nbsp;<a href="https://dfast.nig.ac.jp/" target="">https://dfast.nig.ac.jp/</a>.</p><p>Address of the bookmark: <a href="https://dfast.nig.ac.jp/" rel="nofollow">https://dfast.nig.ac.jp/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30147/cisa-contig-integrator-for-sequence-assembly</guid>
	<pubDate>Thu, 15 Dec 2016 05:42:21 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30147/cisa-contig-integrator-for-sequence-assembly</link>
	<title><![CDATA[CISA: Contig Integrator for Sequence Assembly]]></title>
	<description><![CDATA[<p>A plethora of algorithmic assemblers have been proposed for the <em>de novo</em> assembly of genomes, however, no individual assembler guarantees the optimal assembly for diverse species. Optimizing various parameters in an assembler is often performed in order to generate the most optimal assembly. However, few efforts have been pursued to take advantage of multiple assemblies to yield an assembly of high accuracy. In this study, we employ various state-of-the-art assemblers to generate different sets of contigs for bacterial genomes. A tool, named CISA, has been developed to integrate the assemblies into a hybrid set of contigs, resulting in assemblies of superior contiguity and accuracy, compared with the assemblies generated by the state-of-the-art assemblers and the hybrid assemblies merged by existing tools. This tool is implemented in Python and requires MUMmer and BLAST+ to be installed on the local machine. The source code of CISA and examples of its use are available at <a href="http://sb.nhri.org.tw/CISA/">http://sb.nhri.org.tw/CISA/</a>.</p><p>Address of the bookmark: <a href="http://sb.nhri.org.tw/CISA/en/CISA" rel="nofollow">http://sb.nhri.org.tw/CISA/en/CISA</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/28199/genome-workbench-2107</guid>
	<pubDate>Fri, 01 Jul 2016 12:09:59 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/28199/genome-workbench-2107</link>
	<title><![CDATA[Genome Workbench 2.10.7]]></title>
	<description><![CDATA[<p>Genome Workbench 2.10.7 is here! New features include added support for local custom BLAST databases and improvements to Tree View.</p><p>For the full list of features, improvements and fixes, see the release notes:<a href="https://ncbi.nlm.nih.gov/tools/gbench/releasenotes" target="_blank">https://ncbi.nlm.nih.gov/tools/gbench/releasenotes</a></p><p>New Features</p><ul>
<li>BLAST Tool: added support for local custom BLAST databases</li>
<li>Graphical Sequence View: added log scaling option for graph tracks</li>
<li>Generic Table View:&nbsp;<a href="https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial17">new tutorial</a>&nbsp;added</li>
</ul><p>Bug Fixes and Improvements</p><ul>
<li>Project Tree View: Genomic Collections/Assemblies now show accessions, not just names</li>
<li>Tree View: layout updated to better accommodate nodes of different sizes</li>
<li>Table Import Dialog (MacOS): fixed issue with table visibility</li>
<li>Fixed bug where different molecules IDs in GenBank could resolve to the same sequence</li>
<li>Graphical Sequence View: fixed issue where sequence track was not shown for some sequences</li>
<li>Graphical Sequence View: fixed protein coloration methods</li>
<li>Graphical Sequence View: improved rendering of Markers to better indicate boundaries and produce higher quality PDF images</li>
<li>Create Gene Model tool: fixed scenario when gene model tool failed with local sequences</li>
<li>Search View: ORF Finder &ndash; fixed incorrect protein lengths</li>
<li>Fixed bug with not opening project file (.gbp) on a click</li>
<li>Fixed issues in GVF import</li>
<li>Fixed BLAST Search tool against NCBI databases not working</li>
<li>Fixed tblastn (protein BLAST) not working in standalone mode</li>
<li>Fixed GTF export failure</li>
</ul>]]></description>
	<dc:creator>Gudiya Pal</dc:creator>
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