<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: All site bookmarks]]></title>
	<link>https://bioinformaticsonline.com/bookmarks/all?offset=390</link>
	<atom:link href="https://bioinformaticsonline.com/bookmarks/all?offset=390" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40940/consed-a-finishing-package-bam-file-viewer-assembly-editor-autofinish-autoreport-autoedit-and-align-reads-to-reference-sequence</guid>
	<pubDate>Fri, 07 Feb 2020 07:16:22 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40940/consed-a-finishing-package-bam-file-viewer-assembly-editor-autofinish-autoreport-autoedit-and-align-reads-to-reference-sequence</link>
	<title><![CDATA[Consed--A Finishing Package (BAM File Viewer, Assembly Editor, Autofinish, Autoreport, Autoedit, and Align Reads To Reference Sequence)]]></title>
	<description><![CDATA[<ul>
<li>Supports Illumina, 454, other Next-Gen and Sanger Reads and allows mixtures of these read types</li>
<li>Consed includes BamScape which can view bam files with unlimited numbers of reads. BamScape can bring up consed to edit reads and the reference sequence in targeted regions.</li>
<li>Consed is compatible with Newbler, Cross_match, Phrap, MIRA, Velvet and PCAP output.</li>
<li>Quickly takes the user to each variant site for viewing (also available as an automated report)</li>
<li>Overview of assembly can help detect and fix misassemblies</li>
<li>Editing time reduced by the program's ability to pin-point problem areas</li>
<li>Editing is guided by error probabilities</li>
</ul><p>Address of the bookmark: <a href="http://www.phrap.org/consed/consed.html" rel="nofollow">http://www.phrap.org/consed/consed.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40937/shinycircos-an-rshiny-application-for-interactive-creation-of-circos-plot</guid>
	<pubDate>Fri, 07 Feb 2020 03:26:58 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40937/shinycircos-an-rshiny-application-for-interactive-creation-of-circos-plot</link>
	<title><![CDATA[shinyCircos: an R/Shiny application for interactive creation of Circos plot]]></title>
	<description><![CDATA[<p><span>shinyCircos, a graphical user interface for interactive creation of Circos plot. shinyCircos can be easily installed either on computers for personal use or on local or public servers to provide online use to the community. Furthermore, various types of Circos plots could be easily generated and decorated with simple mouse-click.</span></p>
<p>Tutorial&nbsp;<a href="http://shinycircos.ncpgr.cn/shinyCircos_Help_Manual.pdf">http://shinycircos.ncpgr.cn/shinyCircos_Help_Manual.pdf</a></p>
<p>Github&nbsp;<a href="https://github.com/venyao/shinyCircos">https://github.com/venyao/shinyCircos</a></p><p>Address of the bookmark: <a href="http://150.109.59.144:3838/shinyCircos/" rel="nofollow">http://150.109.59.144:3838/shinyCircos/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40897/mec-contig-misassembly-correction</guid>
	<pubDate>Tue, 04 Feb 2020 23:40:49 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40897/mec-contig-misassembly-correction</link>
	<title><![CDATA[MEC: Contig Misassembly Correction]]></title>
	<description><![CDATA[<p><span>MEC, to identify and correct misassemblies in contigs. Firstly, MEC takes fragment coverage as the feature to detect the candidate misassemblies. Then, it can distinguish a large number of false positives from the candidate misassemblies based on the distribution of paired-end reads and the statistical analysis of GC-contents. We apply MEC to four real contig datasets, and carry out experiments to analyze the influence of MEC on scaffolding results, which shows that MEC can reduce misassemblies effectively and result in quantitative improvements in scaffolding quality. MEC is publicly available for download at https://github.com/bioinfomaticsCSU/MEC.</span></p><p>Address of the bookmark: <a href="https://github.com/bioinfomaticsCSU/MEC" rel="nofollow">https://github.com/bioinfomaticsCSU/MEC</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40895/tadpole-an-assembler-error-corrector-and-read-extender</guid>
	<pubDate>Tue, 04 Feb 2020 23:35:40 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40895/tadpole-an-assembler-error-corrector-and-read-extender</link>
	<title><![CDATA[Tadpole: an assembler, error-corrector, and read-extender]]></title>
	<description><![CDATA[<p><span>Tadpole is a kmer-based assembler, with additional capabilities of error-correcting and extending reads. It does not do any complicated graph analysis or scaffolding, and therefore, is not particularly good for diploid organisms.&nbsp;</span><span>Tadpole is very conservative and optimized for correctness rather than length; which is to say, it stops at every branch, and condenses every repeat. Also, it does not currently do scaffolding.</span></p>
<p>&nbsp;</p>
<p><span><span>To error-correct reads:</span><br><strong>tadpole.sh in=reads.fq out=corrected.fq mode=correct</strong><br><br><span>To extend reads by 50bp in each direction:</span><br><strong>tadpole.sh in=reads.fq out=extended.fq mode=extend el=50 er=50</strong><br><br><span>To error-correct and extend at the same time, using a kmer length of 62:</span><br><strong>tadpole.sh in=reads.fq out=extended.fq mode=extend el=50 er=50 k=62 ecc=t</strong></span></p>
<p>&nbsp;</p>
<p>More at&nbsp;<a href="http://seqanswers.com/forums/showthread.php?t=61445">http://seqanswers.com/forums/showthread.php?t=61445</a></p><p>Address of the bookmark: <a href="https://jgi.doe.gov/data-and-tools/bbtools/bb-tools-user-guide/tadpole-guide/" rel="nofollow">https://jgi.doe.gov/data-and-tools/bbtools/bb-tools-user-guide/tadpole-guide/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40893/quorum-an-error-corrector-for-illumina-reads</guid>
	<pubDate>Tue, 04 Feb 2020 23:26:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40893/quorum-an-error-corrector-for-illumina-reads</link>
	<title><![CDATA[QuorUM: An Error Corrector for Illumina Reads]]></title>
	<description><![CDATA[<p><span>We produce trimmed and error-corrected reads that result in assemblies with longer contigs and fewer errors. We compared QuorUM against several published error correctors and found that it is the best performer in most metrics we use. QuorUM is efficiently implemented making use of current multi-core computing architectures and it is suitable for large data sets (1 billion bases checked and corrected per day per core)</span></p><p>Address of the bookmark: <a href="http://www.genome.umd.edu/" rel="nofollow">http://www.genome.umd.edu/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40891/musket-a-multistage-k-mer-spectrum-based-corrector</guid>
	<pubDate>Tue, 04 Feb 2020 23:24:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40891/musket-a-multistage-k-mer-spectrum-based-corrector</link>
	<title><![CDATA[Musket - a multistage k-mer spectrum based corrector]]></title>
	<description><![CDATA[<p><strong>Musket</strong><span>&nbsp;is a well-established leading next-generation sequencing read error correction algorithm targetting Illumina sequencing. This corrector employs the&nbsp;</span><em>k</em><span>-mer spectrum approach and introduces three correction techniques in a multistage workflow. Our performance evaluation results, in terms of correction quality and de novo genome assembly measures, reveal that Musket is consistently one of the top performing substitution-error-based correctors.</span></p><p>Address of the bookmark: <a href="http://musket.sourceforge.net/homepage.htm" rel="nofollow">http://musket.sourceforge.net/homepage.htm</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40889/rcorrector-efficient-and-accurate-error-correction-for-illumina-rna-seq-reads</guid>
	<pubDate>Tue, 04 Feb 2020 23:23:16 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40889/rcorrector-efficient-and-accurate-error-correction-for-illumina-rna-seq-reads</link>
	<title><![CDATA[Rcorrector: efficient and accurate error correction for Illumina RNA-seq reads]]></title>
	<description><![CDATA[<p><span>Rcorrector has an accuracy higher than or comparable to existing methods, including the only other method (SEECER) designed for RNA-seq reads, and is more time and memory efficient. With a 5 GB memory footprint for 100 million reads, it can be run on virtually any desktop or server. The software is available free of charge under the GNU General Public License from&nbsp;</span><a href="https://github.com/mourisl/Rcorrector/" target="_blank">https://github.com/mourisl/Rcorrector/</a><span>.</span></p>
<pre><code>Usage: perl run_rcorrector.pl [OPTIONS]
OPTIONS:
	Required
	-s seq_files: comma separated files for single-end data sets
	-1 seq_files_left: comma separated files for the first mate in the paried-end data sets
	-2 seq_files_right: comma separated files for the second mate in the paired-end data sets
	-i seq_files_interleaved: comma sperated files for interleaved paired-end data sets
	Optional
	-k INT: kmer_length (&lt;=32, default: 23)
	-od STRING: output_file_directory (default: ./)
	-t INT: number of threads to use (default: 1)
	-trim : allow trimming (default: false)
	-maxcorK INT: the maximum number of correction within k-bp window (default: 4)
	-wk FLOAT: the proportion of kmers that are used to estimate weak kmer count threshold, lower for more divergent genome (default: 0.95)
	-ek INT: expected number of kmers; does not affect the correctness of program but affects the memory usage (default: 100000000)
	-stdout: output the corrected reads to stdout (default: not used)
	-verbose: output some correction information to stdout (default: not used)
	-stage INT: start from which stage (default: 0)
		0-start from begining(storing kmers in bloom filter) ;
		1-start from count kmers showed up in bloom filter;
		2-start from dumping kmer counts into a jf_dump file;
		3-start from error correction.</code></pre><p>Address of the bookmark: <a href="https://github.com/mourisl/Rcorrector/" rel="nofollow">https://github.com/mourisl/Rcorrector/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40871/nanopore-adaptor</guid>
	<pubDate>Mon, 03 Feb 2020 00:10:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40871/nanopore-adaptor</link>
	<title><![CDATA[Nanopore adaptor !]]></title>
	<description><![CDATA[<p>Porechop is a tool for finding and removing adapters from&nbsp;<a href="https://nanoporetech.com/">Oxford Nanopore</a>&nbsp;reads. Adapters on the ends of reads are trimmed off, and when a read has an adapter in its middle, it is treated as chimeric and chopped into separate reads. Porechop performs thorough alignments to effectively find adapters, even at low sequence identity.</p>
<p>Porechop also supports demultiplexing of Nanopore reads that were barcoded with the&nbsp;<a href="https://store.nanoporetech.com/native-barcoding-kit-1d.html">Native Barcoding Kit</a>,&nbsp;<a href="https://store.nanoporetech.com/pcr-barcoding-kit-96.html">PCR Barcoding Kit</a>&nbsp;or&nbsp;<a href="https://store.nanoporetech.com/rapid-barcoding-sequencing-kit.html">Rapid Barcoding Kit</a>.</p>
<p><span>The known Nanopore adapters that Porechop looks for are defined</span></p>
<p><a href="https://github.com/rrwick/Porechop/blob/master/porechop/adapters.py">https://github.com/rrwick/Porechop/blob/master/porechop/adapters.py</a></p>
<p>They are:</p>
<ul>
<li>Ligation kit adapters</li>
<li>Rapid kit adapters</li>
<li>PCR kit adapters</li>
<li>Barcodes</li>
<li>Native barcoding</li>
<li>Rapid barcoding</li>
</ul><p>Address of the bookmark: <a href="https://github.com/rrwick/Porechop/blob/master/porechop/adapters.py" rel="nofollow">https://github.com/rrwick/Porechop/blob/master/porechop/adapters.py</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40865/dminda2-an-integrated-web-server-for-dna-motif-identification-and-analyses</guid>
	<pubDate>Sun, 02 Feb 2020 14:26:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40865/dminda2-an-integrated-web-server-for-dna-motif-identification-and-analyses</link>
	<title><![CDATA[DMINDA2: an integrated web server for DNA motif identification and analyses]]></title>
	<description><![CDATA[<p><span>DMINDA (</span><strong>D</strong><span>NA&nbsp;</span><strong>m</strong><span>otif&nbsp;</span><strong>i</strong><span>dentification a</span><strong>nd a</strong><span>nalyses) is an integrated web server for DNA motif identification and analyses</span></p>
<p><span>More at&nbsp;http://bmbl.sdstate.edu/DMINDA2/</span></p>
<p><span><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086085/">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4086085/</a></span></p><p>Address of the bookmark: <a href="http://bmbl.sdstate.edu/DMINDA2/" rel="nofollow">http://bmbl.sdstate.edu/DMINDA2/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40862/alien-index-identify-potential-contaminants-or-horizontally-transferred-genes-in-transcriptomes</guid>
	<pubDate>Sun, 02 Feb 2020 13:51:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40862/alien-index-identify-potential-contaminants-or-horizontally-transferred-genes-in-transcriptomes</link>
	<title><![CDATA[alien_index : identify potential contaminants or horizontally transferred genes in transcriptomes.]]></title>
	<description><![CDATA[<p><span>identify potential contaminants or horizontally transferred genes in transcriptomes.</span></p>
<p><span><span>algorithm is based on alogorithm described in the following: Gladyshev, Eugene A., Matthew Meselson, and Irina R. Arkhipova. "Massive horizontal gene transfer in bdelloid rotifers." science 320.5880 (2008): 1210-1213.</span></span></p>
<p><a href="https://github.com/josephryan/alien_index">alien_index</a></p><p>Address of the bookmark: <a href="https://github.com/josephryan/alien_index" rel="nofollow">https://github.com/josephryan/alien_index</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

</channel>
</rss>