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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/35033?offset=0</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37473/lsc-a-long-read-error-correction-tool</guid>
	<pubDate>Thu, 02 Aug 2018 07:39:46 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37473/lsc-a-long-read-error-correction-tool</link>
	<title><![CDATA[LSC :a long read error correction tool]]></title>
	<description><![CDATA[<h2>Getting Started</h2>
<p>These simple steps will help you integrate LSC into your transcriptomics analysis pipeline.</p>
<ul>
<li>Read the&nbsp;<a href="https://www.healthcare.uiowa.edu/labs/au/LSC/LSC_requirements.asp">LSC_requirements</a>&nbsp;for running LSC.</li>
<li><a href="https://www.healthcare.uiowa.edu/labs/au/LSC/LSC_download.asp">Download</a>&nbsp;and set-up the LSC package.</li>
<li>Follow the&nbsp;<a href="https://www.healthcare.uiowa.edu/labs/au/LSC/LSC_tutorial.asp">tutorial</a>&nbsp;to see how LSC works on some example data.</li>
<li>Read the&nbsp;<a href="https://www.healthcare.uiowa.edu/labs/au/LSC/LSC_manual.asp">manual</a>&nbsp;if anything is unclear.</li>
<li>You're ready, Happy LSCing!</li>
</ul>
<h2>Latest publication</h2>
<p><span>Kin Fai Au, Jason Underwood, Lawrence Lee and Wing Hung Wong&nbsp;</span><br><strong>Improving PacBio Long Read Accuracy by Short Read Alignment&nbsp;</strong><span>[</span><a href="http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0046679">Manuscript</a><span>]&nbsp;</span><br><em>PLoS ONE</em><span>&nbsp;2012. 7(10): e46679. doi:10.1371/journal.pone.0046679</span></p><p>Address of the bookmark: <a href="https://www.healthcare.uiowa.edu/labs/au/LSC/" rel="nofollow">https://www.healthcare.uiowa.edu/labs/au/LSC/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44527/alvis-a-tool-for-contig-and-read-alignment-visualisation-and-chimera-detection</guid>
	<pubDate>Wed, 08 May 2024 07:02:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44527/alvis-a-tool-for-contig-and-read-alignment-visualisation-and-chimera-detection</link>
	<title><![CDATA[Alvis: a tool for contig and read ALignment VISualisation and chimera detection]]></title>
	<description><![CDATA[<p><span>Alvis, a simple command line tool that can generate visualisations for a number of common alignment analysis tasks. Alvis is a fast and portable tool that accepts input in a variety of alignment formats and will output production ready vector images. Additionally, Alvis will highlight potentially chimeric reads or contigs, a common source of misassemblies.</span></p>
<p>More at&nbsp;https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04056-0</p><p>Address of the bookmark: <a href="https://github.com/SR-Martin/alvis" rel="nofollow">https://github.com/SR-Martin/alvis</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37645/lsc-improving-pacbio-long-read-accuracy-by-short-read-alignment</guid>
	<pubDate>Thu, 06 Sep 2018 16:27:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37645/lsc-improving-pacbio-long-read-accuracy-by-short-read-alignment</link>
	<title><![CDATA[LSC: Improving PacBio Long Read Accuracy by Short Read Alignment]]></title>
	<description><![CDATA[<ul>
<li>Added Command line argument support.</li>
<li>Multi-stage execution modes.</li>
<li>Support for parallelization. Now execution proceeds in batches of long reads the size of which can be set by --long_read_batch_size N.</li>
<li>Better compressed intermediate files.</li>
<li>Added utilities folder.</li>
<li>Added support for multiple short read files.</li>
<li>Removed use of configuration file.</li>
</ul><p>Address of the bookmark: <a href="https://www.healthcare.uiowa.edu/labs/au/LSC/" rel="nofollow">https://www.healthcare.uiowa.edu/labs/au/LSC/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36950/salsa-a-tool-to-scaffold-long-read-assemblies-with-hi-c</guid>
	<pubDate>Fri, 15 Jun 2018 04:01:15 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36950/salsa-a-tool-to-scaffold-long-read-assemblies-with-hi-c</link>
	<title><![CDATA[SALSA: A tool to scaffold long read assemblies with Hi-C]]></title>
	<description><![CDATA[This code is used to scaffold your assemblies using Hi-C data. This version implements some improvements in the original SALSA algorithm. If you want to use the old version, it can be found in the old_salsa branch.

To use the latest version, first run the following commands:

  cd SALSA
  make
To run the code, you will need Python 2.7, BOOST libraries and Networkx(version lower than 1.2).

If you consider using this tool, please cite our publication which describes the methods used for scaffolding.

Ghurye, J., Pop, M., Koren, S., Bickhart, D., &amp; Chin, C. S. (2017). Scaffolding of long read assemblies using long range contact information. BMC genomics, 18(1), 527. Link

Ghurye, J., Rhie, A., Walenz, B.P., Schmitt, A., Selvaraj, S., Pop, M., Phillippy, A.M. and Koren, S., 2018. Integrating Hi-C links with assembly graphs for chromosome-scale assembly. bioRxiv, p.261149 Link

For any queries, please either ask on github issue page or send an email to Jay Ghurye (jayg@cs.umd.edu).<p>Address of the bookmark: <a href="https://github.com/machinegun/SALSA" rel="nofollow">https://github.com/machinegun/SALSA</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38304/lordfast-sensitive-and-fast-alignment-search-tool-for-long-noisy-read-sequencing-data</guid>
	<pubDate>Tue, 27 Nov 2018 04:43:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38304/lordfast-sensitive-and-fast-alignment-search-tool-for-long-noisy-read-sequencing-data</link>
	<title><![CDATA[lordFAST: sensitive and Fast Alignment Search Tool for LOng noisy Read sequencing Data]]></title>
	<description><![CDATA[<p><span>lordFAST is a sensitive tool for mapping long reads with high error rates. lordFAST is specially designed for aligning reads from PacBio sequencing technology but provides the user the ability to change alignment parameters depending on the reads and application.</span></p>
<p>lordFAST, a novel long-read mapper that is specifically designed to align reads generated by PacBio and potentially other SMS technologies to a reference. lordFAST not only has higher sensitivity than the available alternatives, it is also among the fastest and has a very low memory footprint.</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/vpc-ccg/lordfast" rel="nofollow">https://github.com/vpc-ccg/lordfast</a></p>]]></description>
	<dc:creator>BioJoker</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37776/rhat-a-seed-and-extension-based-noisy-long-read-alignment-tool</guid>
	<pubDate>Sun, 23 Sep 2018 05:12:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37776/rhat-a-seed-and-extension-based-noisy-long-read-alignment-tool</link>
	<title><![CDATA[rHAT: a seed-and-extension-based noisy long read alignment tool]]></title>
	<description><![CDATA[<p><span>rHAT is a seed-and-extension-based noisy long read alignment tool. It is suitable for aligning 3rd generation sequencing reads which are in large read length with relatively high error rate, especially Pacbio's Single Molecule Read-time (SMRT) sequencing reads.</span></p><p>Address of the bookmark: <a href="https://github.com/dfguan/rHAT" rel="nofollow">https://github.com/dfguan/rHAT</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31295/mycc-accurate-binning-of-metagenomic-contigs-via-automated-clustering-sequences-using-information-of-genomic-signatures-and-marker-genes</guid>
	<pubDate>Fri, 03 Mar 2017 08:34:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31295/mycc-accurate-binning-of-metagenomic-contigs-via-automated-clustering-sequences-using-information-of-genomic-signatures-and-marker-genes</link>
	<title><![CDATA[MyCC: Accurate binning of metagenomic contigs via automated clustering sequences using information of genomic signatures and marker genes]]></title>
	<description><![CDATA[<p><span>MyCC, an automated binning tool that combines genomic signatures, marker genes and optional contig coverages within one or multiple samples, in order to visualize the metagenomes and to identify the reconstructed genomic fragments.</span></p>
<p><span>More at&nbsp;http://www.nature.com/articles/srep24175</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/sb2nhri/files/MyCC/" rel="nofollow">https://sourceforge.net/projects/sb2nhri/files/MyCC/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/45314/nf-coremag-v5-advancing-genome-resolved-metagenomics</guid>
	<pubDate>Sat, 12 Sep 2026 20:27:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/45314/nf-coremag-v5-advancing-genome-resolved-metagenomics</link>
	<title><![CDATA[nf-core/mag v5: Advancing Genome-Resolved Metagenomics]]></title>
	<description><![CDATA[<p>Metagenomics is rapidly moving beyond short-read sequencing. With the increasing adoption of long-read technologies, researchers can generate more contiguous assemblies&mdash;but converting these reads into reliable metagenome-assembled genomes (MAGs) remains computationally challenging.</p><p>nf-core/mag v5 (https://github.com/nf-core/mag) addresses this challenge by extending its reproducible Nextflow-based workflow for modern genome-resolved metagenomics.</p><p>A key addition is support for long-read-only metagenomic assembly and bin refinement, enabling long-read data to be processed through an integrated workflow. The release also introduces five additional binning tools, providing complementary strategies for recovering genomes from complex microbial communities.</p><p>The workflow has also expanded beyond conventional bacterial and archaeal MAGs, with improved classification of viruses and eukaryotes, together with enhanced genome-quality assessment.</p><p>Conceptually, the workflow brings together:</p><p>Reads &rarr; QC &rarr; Assembly &rarr; Binning &rarr; Bin refinement &rarr; Taxonomic classification &rarr; MAG quality assessment</p><p>The real strength of nf-core/mag is not any single algorithm, but the integration and reproducibility of multiple tools within a standardized workflow. This is particularly important for large-scale metagenomic studies where software versions, parameters, databases and computational environments can strongly influence results.</p><p>After seven years of development involving multiple curator teams and the wider nf-core community, v5 demonstrates how community-driven workflow development can keep metagenomic analysis aligned with rapidly evolving sequencing technologies.</p><p>The future of genome-resolved metagenomics is not simply longer reads&mdash;it is better integration of assembly, binning, refinement and quality control within reproducible computational workflows.</p><p>Read the full paper in Bioinformatics https://academic.oup.com/bioinformatics/article/42/9/btag628/8770536?</p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/33842/awesome-perl-frameworks-libraries-and-software-part-5</guid>
	<pubDate>Fri, 07 Jul 2017 04:12:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/33842/awesome-perl-frameworks-libraries-and-software-part-5</link>
	<title><![CDATA[Awesome perl frameworks, libraries and software - PART 5]]></title>
	<description><![CDATA[<ul>
<li><a href="https://github.com/robelix/sub2srt">robelix/sub2srt</a>&nbsp;- subtitle converter</li>
<li><a href="https://github.com/reyjrar/graphite-scripts">reyjrar/graphite-scripts</a>&nbsp;- A Collections of Scripts for Working with Graphite</li>
<li><a href="https://github.com/regilero/check_nginx_status">regilero/check_nginx_status</a>&nbsp;- Nagios check for nginx status report</li>
<li><a href="https://github.com/omniti-labs/resmon">omniti-labs/resmon</a>&nbsp;- resmon</li>
<li><a href="https://github.com/motemen/App-htmlcat">motemen/App-htmlcat</a>&nbsp;- redirect stdin to web browser</li>
<li><a href="https://github.com/moose/Moo">moose/Moo</a>&nbsp;- Minimalist Object Orientation (with Moose compatibility)</li>
<li><a href="https://github.com/miyagawa/fastpass">miyagawa/fastpass</a>&nbsp;- Tiny, XS free, standalone and preforking FastCGI daemon for PSGI</li>
<li><a href="https://github.com/miyagawa/Filesys-Notify-Simple">miyagawa/Filesys-Notify-Simple</a>&nbsp;- Simple and dumb file system watcher</li>
<li><a href="https://github.com/mhop/fhem-mirror">mhop/fhem-mirror</a>&nbsp;- Branch 'master' is a read-only-mirror of svn://svn.code.sf.net/p/fhem/code which is updated once a day. On branch 'enocean' I am going to add some Enocean-Devices</li>
<li><a href="https://github.com/lopnor/Plack-App-DAV">lopnor/Plack-App-DAV</a>&nbsp;- simple DAV server for Plack</li>
<li><a href="https://github.com/kazuho/url_compress">kazuho/url_compress</a>&nbsp;- a static PPM-based URL compressor / decompressor</li>
<li><a href="https://github.com/jnthn/6model">jnthn/6model</a>&nbsp;- Just a place that I'm keeping some meta-model prototyping; anything that matters will make it to another repo (e.g. nqp-rx one or Rakudo one) at some point.</li>
<li><a href="https://github.com/jasonhancock/nagios-puppetdb">jasonhancock/nagios-puppetdb</a>&nbsp;- Nagios plugins and pnp4nagios templates related to Puppetlab's PuppetDB project.</li>
<li><a href="https://github.com/goccy/p5-Compiler-Parser">goccy/p5-Compiler-Parser</a>&nbsp;- Create Abstract Syntax Tree for Perl5</li>
<li><a href="https://github.com/cgutteridge/Grinder">cgutteridge/Grinder</a>&nbsp;- Create RDF data from spreadsheets or CSV</li>
<li><a href="https://github.com/c9s/Plack-Middleware-OAuth">c9s/Plack-Middleware-OAuth</a>&nbsp;- Plack Middleware for OAuth1 and OAuth2</li>
<li><a href="https://github.com/bzip2-cuda/bzip2-cuda">bzip2-cuda/bzip2-cuda</a>&nbsp;- Parallel implementation of bzip2 using cuda</li>
<li><a href="https://github.com/alanstevens/ChocoPackages">alanstevens/ChocoPackages</a>&nbsp;- Chocolatey Nuget Packages</li>
<li><a href="https://github.com/SoylentNews/slashcode">SoylentNews/slashcode</a>&nbsp;- The slashcode repository for SoylentNews. The initial code base was uploaded as it appeared on Sourceforge as of the last commit in September 2009</li>
<li><a href="https://github.com/Miserlou/XSS-Harvest">Miserlou/XSS-Harvest</a>&nbsp;- XSS Weaponization</li>
</ul>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34877/recovery-of-complete-genomes-from-metagenomes</guid>
	<pubDate>Wed, 27 Dec 2017 00:04:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34877/recovery-of-complete-genomes-from-metagenomes</link>
	<title><![CDATA[Recovery of complete genomes from metagenomes]]></title>
	<description><![CDATA[<p>This project contains scripts and tutorials on how to assemble individual microbial genomes from metagenomes, as described in:</p>
<p><strong>Genome sequences of rare, uncultured bacteria obtained by differential coverage binning of multiple metagenomes</strong></p>
<p><a href="http://personprofil.aau.dk/120257">Mads Albertsen</a>,&nbsp;<a href="http://ecogenomic.org/users/phil-hugenholtz">Philip Hugenholtz</a>,&nbsp;<a href="http://ecogenomic.org/users/adam-skarshewski">Adam Skarshewski</a>,&nbsp;<a href="http://www.ecogenomic.org/users/gene-tyson">Gene W. Tyson</a>,&nbsp;<a href="http://personprofil.aau.dk/103057">K&aring;re L. Nielsen</a>&nbsp;and&nbsp;<a href="http://personprofil.aau.dk/105842">Per .H. Nielsen</a></p>
<p>Nature Biotechnology 2013, doi:&nbsp;<a href="http://www.nature.com/nbt/journal/vaop/ncurrent/abs/nbt.2579.html">10.1038/nbt.2579</a></p><p>Address of the bookmark: <a href="http://madsalbertsen.github.io/multi-metagenome/" rel="nofollow">http://madsalbertsen.github.io/multi-metagenome/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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