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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/43384?offset=0</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33901/rnacon-web-server-for-the-prediction-and-classification-of-non-coding-rnas</guid>
	<pubDate>Mon, 17 Jul 2017 04:55:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33901/rnacon-web-server-for-the-prediction-and-classification-of-non-coding-rnas</link>
	<title><![CDATA[RNAcon: web-server for the prediction and classification of non-coding RNAs]]></title>
	<description><![CDATA[<p style="text-align: justify;">RNAcon is a web-server for the prediction and classification of non-coding RNAs. It uses SVM-based model for the discrimination between coding and ncRNAs and RandomForest-based prediction model for the classification of ncRNAs into different classes. The structural information based graph properties were used for the development of prediction model.</p>
<p style="text-align: justify;">The&nbsp;<a href="http://crdd.osdd.net/raghava/rnacon/RNAcon_v1.0.tar.gz">standalone version (Linux-based command-line) of RNAcon</a>&nbsp;is freely available for the global scientific community.</p>
<p style="text-align: justify;">Reference:&nbsp;<a href="http://www.biomedcentral.com/1471-2164/15/127/abstract">Panwar, B.; Arora, A. and Raghava, G.P.S. (2014) Prediction and classification of ncRNAs using structural information</a>BMC Genomics 2014, 15:127</p><p>Address of the bookmark: <a href="http://crdd.osdd.net/raghava/rnacon/" rel="nofollow">http://crdd.osdd.net/raghava/rnacon/</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42946/aligngraph2-similar-genome-assisted-reassembly-pipeline-for-pacbio-long-reads</guid>
	<pubDate>Sun, 14 Mar 2021 09:42:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42946/aligngraph2-similar-genome-assisted-reassembly-pipeline-for-pacbio-long-reads</link>
	<title><![CDATA[AlignGraph2: similar genome-assisted reassembly pipeline for PacBio long reads]]></title>
	<description><![CDATA[<p><span>AlignGraph2 is the second version of&nbsp;</span><a href="https://github.com/baoe/AlignGraph">AlignGraph</a><span>&nbsp;for PacBio long reads. It extends and refines contigs assembled from the long reads with a published genome similar to the sequencing genome.</span></p>
<p><span>More at&nbsp;https://academic.oup.com/bib/advance-article-abstract/doi/10.1093/bib/bbab022/6146772</span></p><p>Address of the bookmark: <a href="https://github.com/huangs001/AlignGraph2" rel="nofollow">https://github.com/huangs001/AlignGraph2</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34394/tulip-the-uncorrected-long-read-itegration-pipeline</guid>
	<pubDate>Thu, 23 Nov 2017 09:30:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34394/tulip-the-uncorrected-long-read-itegration-pipeline</link>
	<title><![CDATA[TULIP - The Uncorrected Long read Itegration Pipeline]]></title>
	<description><![CDATA[<p>#Running TULIP (The Uncorrected Long-read Integration Process), version 0.4 late 2016 (European eel)</p>
<p>TULIP currently consists of to Perl scripts, tulipseed.perl and tulipbulb.perl. These are very much intended as prototypes, and additional components and/or implementations are likely to follow.&nbsp;<br>Tulipseed takes as input alignments files of long reads to sparse short seeds, and outputs a graph and scaffold structures. Tulipbulb adds long read sequencing data to these.</p>
<p>&nbsp;</p>
<p>https://github.com/Generade-nl/TULIP</p><p>Address of the bookmark: <a href="https://github.com/Generade-nl/TULIP" rel="nofollow">https://github.com/Generade-nl/TULIP</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36632/tulip-the-uncorrected-long-read-integration-pipeline</guid>
	<pubDate>Tue, 15 May 2018 09:06:37 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36632/tulip-the-uncorrected-long-read-integration-pipeline</link>
	<title><![CDATA[TULIP - The Uncorrected Long read Integration Pipeline]]></title>
	<description><![CDATA[TULIP currently consists of two Perl scripts, tulipseed.perl and tulipbulb.perl. These are very much intended as prototypes, and additional components and/or implementations are likely to follow.

Tulipseed takes as input alignments files of long reads to sparse short seeds, and outputs a graph and scaffold structures.<p>Address of the bookmark: <a href="https://github.com/Generade-nl/TULIP" rel="nofollow">https://github.com/Generade-nl/TULIP</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44741/bioinformatician-in-pipeline-development</guid>
  <pubDate>Tue, 17 Dec 2024 23:43:54 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatician in pipeline development]]></title>
  <description><![CDATA[
<p>Are you interested in working with pipeline development in bioinformatics, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a position as Bioinformatician in pipeline development at Uppsala University.</p>

<p>National Bioinformatics Infrastructure Sweden (NBIS) (nbis.se) plays an important role in advancing life science research in Sweden by providing expert support and developing cutting-edge bioinformatics infrastructure. Operating as a truly national initiative, NBIS employs more than 120 bioinformaticians, system developers, and data stewards across multiple locations in Sweden. It serves as the bioinformatics platform at SciLifeLab, a national resource that facilitates research in molecular biosciences by offering access to state-of-the-art technologies and technical expertise. With strong ties to data-producing facilities and ongoing collaborations with leading research groups, NBIS is ideally positioned to support world-class bioinformatics analyses. Furthermore, NBIS is the Swedish node in ELIXIR, the European infrastructure for biological information.</p>

<p>NBIS is seeking an experienced bioinformatician to support both Swedish and international projects. As part of our dynamic team, you will work closely with researchers to process large-scale biological data and contribute to advancing our data analysis infrastructure. Strong problem-solving skills, attention to detail, and the ability to troubleshoot complex bioinformatics pipelines are essential for success in this role. Flexibility and a willingness to learn are also important, as NBIS continually adapts to meet the evolving needs of the Swedish research community.</p>

<p>More at https://www.uu.se/en/about-uu/join-us/jobs-and-vacancies/job-details?query=778701</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36017/alpha-a-toolkit-for-automated-local-phylogenomic-analyses</guid>
	<pubDate>Wed, 21 Mar 2018 18:12:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36017/alpha-a-toolkit-for-automated-local-phylogenomic-analyses</link>
	<title><![CDATA[ALPHA: A Toolkit for Automated Local Phylogenomic Analyses]]></title>
	<description><![CDATA[<p><span>Automated Local Phylogenomic Analyses, or ALPHA, is a python-based application that provides an intuitive user interface for phylogenetic analyses and data visualization. It has four distinct modes that are useful for different types of phylogenetic analysis: RAxML, File Converter, MS Comparison, and D-statistic.</span></p><p>Address of the bookmark: <a href="https://github.com/chilleo/ALPHA" rel="nofollow">https://github.com/chilleo/ALPHA</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41504/quartataweb-user-friendly-server-developed-for-polypharmacological-and-chemogenomics-analyses</guid>
	<pubDate>Wed, 01 Apr 2020 10:30:52 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41504/quartataweb-user-friendly-server-developed-for-polypharmacological-and-chemogenomics-analyses</link>
	<title><![CDATA[QuartataWeb: user-friendly server developed for polypharmacological and chemogenomics analyses.]]></title>
	<description><![CDATA[<p><span>Data on protein-drug and protein-chemical interactions are rapidly accumulating in databases such as&nbsp;</span><a href="http://www.drugbank.ca/" target="_blank">DrugBank</a><span>&nbsp;and&nbsp;</span><a href="http://stitch.embl.de/" target="_blank">STITCH</a><span>. These data usually reflect observed interactions, while the lack of data for a given protein-drug/chemical pair does not necessarily mean the lack of interaction. Indeed, recent studies, both computational and experimental, highlighted the promiscuity of both proteins and small molecules: many drugs have side effects i.e. they target proteins other than those known in public databases; and many proteins bind chemicals other than those known, opening the way to design repurposable drugs, new chemicals, or polypharmacological treatments.</span></p>
<p><span><a href="https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btaa210/5813333">https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btaa210/5813333</a></span></p><p>Address of the bookmark: <a href="http://quartata.csb.pitt.edu/" rel="nofollow">http://quartata.csb.pitt.edu/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42568/breedbase-is-a-comprehensive-breeding-management-and-analysis-software</guid>
	<pubDate>Wed, 06 Jan 2021 19:45:21 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42568/breedbase-is-a-comprehensive-breeding-management-and-analysis-software</link>
	<title><![CDATA[Breedbase is a comprehensive breeding management and analysis software]]></title>
	<description><![CDATA[<p><span>Breedbase is a comprehensive breeding management and analysis software. It can be used to design field layouts, collect phenotypic information using tablets, support the collection of genotyping samples in a field, store large amounts of high density genotypic information, and provide Genomic Selection related analyses and predictions. Breedbase supports the BrAPI standard.</span></p><p>Address of the bookmark: <a href="https://breedbase.org/" rel="nofollow">https://breedbase.org/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39674/simka-and-simkamin-are-comparative-metagenomics-method-dedicated-to-ngs-datasets</guid>
	<pubDate>Sat, 06 Jul 2019 13:56:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39674/simka-and-simkamin-are-comparative-metagenomics-method-dedicated-to-ngs-datasets</link>
	<title><![CDATA[Simka and SimkaMin are comparative metagenomics method dedicated to NGS datasets]]></title>
	<description><![CDATA[<p>Simka is a de novo comparative metagenomics tool. Simka represents each dataset as a k-mer spectrum and compute several classical ecological distances between them.</p>
<p>Developper:&nbsp;<a href="http://people.rennes.inria.fr/Gaetan.Benoit/">Ga&euml;tan Benoit</a>, PhD, former member of the&nbsp;<a href="http://team.inria.fr/genscale/">Genscale</a>&nbsp;team at Inria.</p>
<p>Contact: claire dot lemaitre at inria dot fr</p>
<p><span>Simka and SimkaMin are comparative metagenomics method dedicated to NGS datasets.&nbsp;</span><span></span><span><a href="https://gatb.inria.fr/software/simka/">https://gatb.inria.fr/software/simka/</a></span></p><p>Address of the bookmark: <a href="https://github.com/GATB/simka" rel="nofollow">https://github.com/GATB/simka</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44589/sourmash-quickly-search-compare-and-analyze-genomic-and-metagenomic-data-sets</guid>
	<pubDate>Sat, 06 Jul 2024 04:24:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44589/sourmash-quickly-search-compare-and-analyze-genomic-and-metagenomic-data-sets</link>
	<title><![CDATA[sourmash: Quickly search, compare, and analyze genomic and metagenomic data sets.]]></title>
	<description><![CDATA[<p dir="auto">sourmash is a k-mer analysis multitool, and we aim to provide stable, robust programmatic and command-line APIs for a variety of sequence comparisons. Some of our special sauce includes:</p>
<ul dir="auto">
<li><code>FracMinHash</code>&nbsp;sketching, which enables accurate comparisons (including ANI) between data sets of different sizes</li>
<li><code>sourmash gather</code>, a combinatorial k-mer approach for more accurate metagenomic profiling</li>
</ul>
<p dir="auto">Please see the&nbsp;<a href="https://sourmash.readthedocs.io/en/latest/publications.html#sourmash-fundamentals">sourmash publications</a>&nbsp;for details.</p>
<p dir="auto">The name is a riff off of&nbsp;<a href="https://github.com/marbl/Mash">Mash</a>, combined with @ctb's love of whiskey. (<a href="https://en.wikipedia.org/wiki/Sour_mash">Sour mash</a>&nbsp;is used in making whiskey.)</p>
<p dir="auto">Maintainers:&nbsp;<a href="mailto:titus@idyll.org">C. Titus Brown</a>&nbsp;(<a href="http://github.com/ctb">@ctb</a>),&nbsp;<a href="mailto:luiz@sourmash.bio">Luiz C. Irber, Jr</a>&nbsp;(<a href="http://github.com/luizirber">@luizirber</a>), and&nbsp;<a href="mailto:tessa@sourmash.bio">N. Tessa Pierce-Ward</a>&nbsp;(<a href="http://github.com/bluegenes">@bluegenes</a>).</p>
<p dir="auto">sourmash was initially developed by the&nbsp;<a href="http://ivory.idyll.org/lab/">Lab for Data-Intensive Biology</a>&nbsp;at the&nbsp;<a href="http://www.vetmed.ucdavis.edu/">UC Davis School of Veterinary Medicine</a>, and now includes contributions from the global research and developer community.</p><p>Address of the bookmark: <a href="https://github.com/sourmash-bio/sourmash" rel="nofollow">https://github.com/sourmash-bio/sourmash</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

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