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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/36758?offset=190</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42313/crbhits-from-conditional-reciprocal-best-hits-to-codon-alignments-and-kaks-in-r</guid>
	<pubDate>Wed, 11 Nov 2020 23:06:03 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42313/crbhits-from-conditional-reciprocal-best-hits-to-codon-alignments-and-kaks-in-r</link>
	<title><![CDATA[CRBHits: From Conditional Reciprocal Best Hits to Codon Alignments and Ka/Ks in R]]></title>
	<description><![CDATA[<p>CRBHits is a coding sequence (CDS) analysis pipeline in R (R Core Team, 2019). It reimplements the Conditional Reciprocal Best Hit (CRBH) algorithm crb-blast and covers all necessary steps from sequence similarity searches, codon alignments to Ka/Ks calculations and synteny. The new R package targets ecology, population and evolutionary biologists working in the field of comparative genomics.</p><p>Address of the bookmark: <a href="https://gitlab.gwdg.de/mpievolbio-it/crbhits" rel="nofollow">https://gitlab.gwdg.de/mpievolbio-it/crbhits</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36897/gmcloser-closing-gaps-in-assemblies-accurately-with-a-likelihood-based-selection-of-contig-or-long-read-alignments</guid>
	<pubDate>Mon, 11 Jun 2018 05:43:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36897/gmcloser-closing-gaps-in-assemblies-accurately-with-a-likelihood-based-selection-of-contig-or-long-read-alignments</link>
	<title><![CDATA[GMcloser: closing gaps in assemblies accurately with a likelihood-based selection of contig or long-read alignments]]></title>
	<description><![CDATA[GMcloser uses likelihood-based classifiers calculated from the alignment statistics between scaffolds, contigs and paired-end reads to correctly assign contigs or long reads to gap regions of scaffolds, thereby achieving accurate and efficient gap closure. We demonstrate with sequencing data from various organisms that the gap-closing accuracy of GMcloser is 3–100-fold higher than those of other available tools, with similar efficiency.

https://academic.oup.com/bioinformatics/article/31/23/3733/209212<p>Address of the bookmark: <a href="https://academic.oup.com/bioinformatics/article/31/23/3733/209212" rel="nofollow">https://academic.oup.com/bioinformatics/article/31/23/3733/209212</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39039/dotplotly-generate-an-interactive-dot-plot-from-mummer-or-minimap-alignments</guid>
	<pubDate>Thu, 21 Feb 2019 10:22:17 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39039/dotplotly-generate-an-interactive-dot-plot-from-mummer-or-minimap-alignments</link>
	<title><![CDATA[dotPlotly: Generate an interactive dot plot from mummer or minimap alignments]]></title>
	<description><![CDATA[<p>Create an interactive dot plot from mummer output OR PAF format</p>
<p>R script that makes a plotly interactive and/or static (png/pdf) dot plot.</p>
<p><a href="https://tom-poorten.shinyapps.io/dotplotly_shiny/">Shiny app available for testing</a></p><p>Address of the bookmark: <a href="https://github.com/tpoorten/dotPlotly" rel="nofollow">https://github.com/tpoorten/dotPlotly</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/926/list-of-popular-bioinformatics-softwaretools</guid>
	<pubDate>Tue, 16 Jul 2013 14:30:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/926/list-of-popular-bioinformatics-softwaretools</link>
	<title><![CDATA[List of popular bioinformatics software/tools]]></title>
	<description><![CDATA[<p><a href="http://samtools.sourceforge.net/swlist.shtml">I</a>n current genome era, our day to day work is to handle the huge geneome sequences, expression data, several other datasets. This link provide a comprehensive list of commonly used sofware/tools.</p><p>Address of the bookmark: <a href="http://samtools.sourceforge.net/swlist.shtml" rel="nofollow">http://samtools.sourceforge.net/swlist.shtml</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35286/alfred-bam-statistics-and-feature-counting</guid>
	<pubDate>Tue, 23 Jan 2018 05:28:38 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35286/alfred-bam-statistics-and-feature-counting</link>
	<title><![CDATA[Alfred: BAM Statistics and Feature Counting]]></title>
	<description><![CDATA[<p>The easiest way to get Alfred is to download a statically linked binary from the&nbsp;<a href="https://github.com/tobiasrausch/alfred/releases/">Alfred github release page</a>. Alternatively, you can build Alfred from source. Alfred dependencies are included as submodules so you need to do a recursive clone.</p>
<p><code>git clone --recursive https://github.com/tobiasrausch/alfred.git</code></p>
<p><code>cd alfred/</code></p>
<p><code>make all</code></p>
<p>https://github.com/tobiasrausch/alfred/</p><p>Address of the bookmark: <a href="https://gear.embl.de/alfred" rel="nofollow">https://gear.embl.de/alfred</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41487/tinycov-standalone-command-line-utility-written-in-python-to-plot-coverage-from-a-bam-file</guid>
	<pubDate>Mon, 23 Mar 2020 06:22:08 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41487/tinycov-standalone-command-line-utility-written-in-python-to-plot-coverage-from-a-bam-file</link>
	<title><![CDATA[tinycov: standalone command line utility written in python to plot coverage from a BAM file]]></title>
	<description><![CDATA[<p>Tinycov is a small standalone command line utility written in python to plot the coverage of a BAM file quickly. This software was inspired by&nbsp;<a href="https://github.com/matted/genome_coverage_plotter">Matt Edwards' genome coverage plotter</a>.</p>
<p>To install the stable version:&nbsp;<code>pip3 install --user tinycov</code></p>
<p>To install the development version:</p>
<pre><code>git clone https://github.com/cmdoret/tinycov.git
cd tinycov
pip install .</code></pre><p>Address of the bookmark: <a href="https://github.com/cmdoret/tinycov" rel="nofollow">https://github.com/cmdoret/tinycov</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/35351/sam-to-bam-conversion</guid>
	<pubDate>Fri, 26 Jan 2018 02:36:18 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/35351/sam-to-bam-conversion</link>
	<title><![CDATA[sam to bam conversion !!]]></title>
	<description><![CDATA[<p>To do sam to bam conversion, follow the following commands :-&nbsp;</p><div><div>Code:</div><pre dir="ltr">$ samtools view -b -S file.sam &gt; file.bam</pre></div><p>Then you will need to use&nbsp;<br /><br /></p><div><div>Code:</div><pre dir="ltr">$ samtools sort file.bam file-sorted</pre></div><p>followed by<br /><br /></p><div><div>Code:</div><pre dir="ltr">$ samtools index  file-sorted.bam</pre></div><p>in order to get an indexed file.<br /><br />If you just type&nbsp;<br /><br /></p><div><div>Code:</div><pre dir="ltr">$ samtools</pre></div><p>or samtools followed by the name of one of the samtools commands, you will get a few lines of help giving the correct syntax for that command,</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40969/leaflet-javascript-libraries-for-interactive-maps</guid>
	<pubDate>Mon, 10 Feb 2020 01:35:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40969/leaflet-javascript-libraries-for-interactive-maps</link>
	<title><![CDATA[Leaflet: JavaScript libraries for interactive maps]]></title>
	<description><![CDATA[<p><a href="http://leafletjs.com/">Leaflet</a><span>&nbsp;is one of the most popular open-source JavaScript libraries for interactive maps.</span></p>
<h3>Features</h3>
<ul>
<li>Interactive panning/zooming</li>
<li>Compose maps using arbitrary combinations of:
<ul>
<li>Map tiles</li>
<li>Markers</li>
<li>Polygons</li>
<li>Lines</li>
<li>Popups</li>
<li>GeoJSON</li>
</ul>
</li>
<li>Create maps right from the R console or RStudio</li>
<li>Embed maps in&nbsp;<a href="http://yihui.name/knitr/">knitr</a>/<a href="http://rmarkdown.rstudio.com/">R Markdown</a>&nbsp;documents and&nbsp;<a href="http://shiny.rstudio.com/">Shiny</a>&nbsp;apps</li>
<li>Easily render spatial objects from the&nbsp;<code>sp</code>&nbsp;or&nbsp;<code>sf</code>&nbsp;packages, or data frames with latitude/longitude columns</li>
<li>Use map bounds and mouse events to drive Shiny logic</li>
<li>Display maps in non spherical mercator projections</li>
<li>Augment map features using chosen plugins from&nbsp;<a href="http://leafletjs.com/plugins">leaflet plugins repository</a></li>
</ul>
<p><a href="https://rstudio.github.io/leaflet/">https://rstudio.github.io/leaflet/</a></p><p>Address of the bookmark: <a href="https://rstudio.github.io/leaflet/" rel="nofollow">https://rstudio.github.io/leaflet/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41920/liftoff-an-accurate-tool-that-maps-annotations-in-gff-or-gtf-between-assemblies</guid>
	<pubDate>Tue, 30 Jun 2020 21:40:52 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41920/liftoff-an-accurate-tool-that-maps-annotations-in-gff-or-gtf-between-assemblies</link>
	<title><![CDATA[Liftoff: an accurate tool that maps annotations in GFF or GTF between assemblies]]></title>
	<description><![CDATA[<p><span>&nbsp;Liftoff, an accurate tool that maps annotations in GFF or GTF between assemblies of the same, or closely-related species. Unlike current coordinate lift-over tools which require a pre-generated &ldquo;chain&rdquo; file as input, Liftoff is a standalone tool that takes two genome assemblies and a reference annotation as input and outputs an annotation of the target genome.&nbsp;</span></p><p>Address of the bookmark: <a href="https://github.com/agshumate/Liftoff" rel="nofollow">https://github.com/agshumate/Liftoff</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43427/ogdraw-draw-organelle-genome-maps</guid>
	<pubDate>Tue, 05 Oct 2021 03:34:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43427/ogdraw-draw-organelle-genome-maps</link>
	<title><![CDATA[OGDRAW - Draw Organelle Genome Maps]]></title>
	<description><![CDATA[<p>OrganellarGenomeDRAW converts annotations in the&nbsp;<a href="https://www.ncbi.nlm.nih.gov/genbank/">GenBank</a>&nbsp;or&nbsp;<a href="https://www.ebi.ac.uk/ena">EMBL/ENA</a>&nbsp;format into graphical maps. The input has to be a&nbsp;<a href="https://www.ncbi.nlm.nih.gov/Sitemap/samplerecord.html">GenBank&nbsp;</a>or&nbsp;<a href="https://www.ebi.ac.uk/ena/submit/flat-file">EMBL/ENA flat file</a>&nbsp;wherase the output can vary among several types of files. The application is optimized to create detailed high-quality maps of organellar genomes (plastid and mitochondria). Nevertheless, you can upload most<span style="color: #0b0118;">&nbsp;database</span>&nbsp;entries.</p>
<p>&nbsp;</p>
<p>Please take a look at our&nbsp;<a href="https://chlorobox.mpimp-golm.mpg.de/OGDraw-FAQ.html">FAQ section</a>&nbsp;and do not hesitate to report bugs or suggestions for improvements by&nbsp;<a href="mailto:chlorobox@mpimp-golm.mpg.de?subject=OGDRAW">email</a>.</p><p>Address of the bookmark: <a href="https://chlorobox.mpimp-golm.mpg.de/OGDraw.html" rel="nofollow">https://chlorobox.mpimp-golm.mpg.de/OGDraw.html</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>

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