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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/40497?offset=50</link>
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	<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/42826/ktrim-an-extra-fast-and-accurate-adapter-and-quality-trimmer-for-sequencing-data</guid>
	<pubDate>Thu, 11 Feb 2021 21:39:05 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42826/ktrim-an-extra-fast-and-accurate-adapter-and-quality-trimmer-for-sequencing-data</link>
	<title><![CDATA[Ktrim: an extra-fast and accurate adapter- and quality-trimmer for sequencing data]]></title>
	<description><![CDATA[<p>Ktrim&nbsp;is written in&nbsp;<code style="font-size: 13.6px; padding: 0.2em 0.4em; margin: 0px; background-color: var(--color-markdown-code-bg);">C++</code>&nbsp;for GNU Linux/Unix platforms. After uncompressing the source package, you can find an executable file&nbsp;<code style="font-size: 13.6px; padding: 0.2em 0.4em; margin: 0px; background-color: var(--color-markdown-code-bg);">ktrim</code>&nbsp;under&nbsp;<code style="font-size: 13.6px; padding: 0.2em 0.4em; margin: 0px; background-color: var(--color-markdown-code-bg);">bin/</code>&nbsp;directory compiled using&nbsp;<code style="font-size: 13.6px; padding: 0.2em 0.4em; margin: 0px; background-color: var(--color-markdown-code-bg);">g++ v4.8.5</code>&nbsp;and linked with&nbsp;<code style="font-size: 13.6px; padding: 0.2em 0.4em; margin: 0px; background-color: var(--color-markdown-code-bg);">libz v1.2.7</code>&nbsp;for Linux x86_64 system. If you could not run it (which is usually caused by low version of&nbsp;<code style="font-size: 13.6px; padding: 0.2em 0.4em; margin: 0px; background-color: var(--color-markdown-code-bg);">libc++</code>&nbsp;or&nbsp;<code style="font-size: 13.6px; padding: 0.2em 0.4em; margin: 0px; background-color: var(--color-markdown-code-bg);">libz</code>&nbsp;library) or you want to build a version optimized for your system, you can re-compile the programs:</p>
<p>user@linux$ make clean &amp;&amp; make</p><p>Address of the bookmark: <a href="https://github.com/hellosunking/Ktrim" rel="nofollow">https://github.com/hellosunking/Ktrim</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44896/jaeger-an-accurate-and-fast-deep-learning-tool-to-detect-bacteriophage-sequences</guid>
	<pubDate>Sun, 31 Aug 2025 06:30:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44896/jaeger-an-accurate-and-fast-deep-learning-tool-to-detect-bacteriophage-sequences</link>
	<title><![CDATA[Jaeger : an accurate and fast deep-learning tool to detect bacteriophage sequences]]></title>
	<description><![CDATA[<p><span>Jaeger is a tool that utilizes homology-free machine learning to identify phage genome sequences that are hidden within metagenomes. It is capable of detecting both phages and prophages within metagenomic assemblies.</span></p><p>Address of the bookmark: <a href="https://github.com/MGXlab/Jaeger" rel="nofollow">https://github.com/MGXlab/Jaeger</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41452/apollo-a-sequencing-technology-independent-scalable-and-accurate-assembly-polishing-algorithm</guid>
	<pubDate>Mon, 16 Mar 2020 10:09:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41452/apollo-a-sequencing-technology-independent-scalable-and-accurate-assembly-polishing-algorithm</link>
	<title><![CDATA[Apollo: A Sequencing-Technology-Independent, Scalable, and Accurate Assembly Polishing Algorithm]]></title>
	<description><![CDATA[<p><span>Apollo is an assembly polishing algorithm that attempts to correct the errors in an assembly. It can take multiple set of reads in a single run and polish the assemblies of genomes of any size. Described by Firtina et al. (preliminary version at&nbsp;</span><a href="https://arxiv.org/pdf/1902.04341.pdf">https://arxiv.org/pdf/1902.04341.pdf</a></p>
<p>More at&nbsp;<a href="https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btaa179/5804978?rss=1">https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btaa179/5804978?rss=1</a></p><p>Address of the bookmark: <a href="https://github.com/CMU-SAFARI/Apollo" rel="nofollow">https://github.com/CMU-SAFARI/Apollo</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44593/bear-better-emulation-for-artificial-reads</guid>
	<pubDate>Sat, 06 Jul 2024 04:27:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44593/bear-better-emulation-for-artificial-reads</link>
	<title><![CDATA[BEAR: Better Emulation for Artificial Reads]]></title>
	<description><![CDATA[<p dir="auto">Created by Stephen Johnson, Brett Trost, Dr. Jeffrey R. Long, Dr. Anthony Kusalik University of Saskatchewan, Department of Computer Science</p>
<p dir="auto">BEAR is intended to be an easy-to-use collection of scripts for generating simulated WGS metagenomic reads with read lengths, quality scores, error profiles, and species abundances derived from real user-supplied WGS data.</p><p>Address of the bookmark: <a href="https://github.com/sej917/BEAR" rel="nofollow">https://github.com/sej917/BEAR</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/860/the-centre-for-bioinformatics-mcb-lab</guid>
  <pubDate>Sun, 14 Jul 2013 12:41:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[The Centre for Bioinformatics (MCB) Lab]]></title>
  <description><![CDATA[
<p>The Centre for Bioinformatics (MCB) is a diverse collection of professors, postdoctoral fellows, and students, who share a common interest in Bioinformatics.</p>

<p>Research Area</p>

<p>We are interested in the development of the statistics and computational methods for the analysis of this data in breast cancer.<br />We have worked on probabilistic models for subcellular localization, protein-protein interactions, and problems related to chemical genomics.<br />We are interested in the development of bioinformatics/biostatistical methodology in the analysis of epigenetic/epigenomic data.<br />We are interested in integrative bioinformatics approaches to learn the gene, gene products, interactions, and regulatory mechanisms involved in mental retardation.</p>

<p>Link @ http://www.mcgill.ca/mcb/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/2001/the-ontario-institute-for-cancer-research-oicr-genomics-lab-toronto-canada</guid>
  <pubDate>Mon, 12 Aug 2013 01:43:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[The Ontario Institute for Cancer Research (OICR) Genomics Lab , Toronto, Canada.]]></title>
  <description><![CDATA[
<p>The Human Genome Project led to the development of a wide array of technologies to screen the genome and its products (genes, proteins, metabolites) and molecules that interact with these products (chemicals, RNAi). The existence of these tools resulted in the creation of facilities that use robotics and informatics to generate high-throughput screens of DNA, RNA, protein, tissue, chemicals and other substances.</p>

<p>The genomics platform uses cancer genome sequencing and other high-throughput techniques to identify genes critical to the development of cancer and anomalies in the genomic profile of the tumours.</p>

<p>For more info visit : http://oicr.on.ca/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4656/pandey-lab</guid>
  <pubDate>Fri, 20 Sep 2013 13:19:18 -0500</pubDate>
  <link></link>
  <title><![CDATA[Pandey Lab]]></title>
  <description><![CDATA[
<p>The Pandey Lab at Johns Hopkins University is a Systems Biology lab that combines molecular biology, analytical chemistry and computational biology with various "Omics" technologies including genomics and proteomics to understand signaling pathways and to identify therapeutic targets and biomarkers in a number of cancers.</p>

<p>More at http://pandeylab.igm.jhmi.edu/</p>

<p>http://scholar.google.com/citations?user=OhuG0FcAAAAJ&amp;hl=en</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4873/vveks-lab</guid>
  <pubDate>Thu, 26 Sep 2013 11:11:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Vvek's Lab]]></title>
  <description><![CDATA[
<p>Broad Area of Research: RNA biology (microRNA, lncRNA), Stem cells, Functional genomics, Epigenomics and Cancer</p>

<p>RNAs, especially non-coding RNAs (such as microRNA, long ncRNAs) are recently identified to be very abundant in mammalian organisms and play some key roles in gene expression regulation, gene silencing, and also implicated in disease progression, stem cell pluripotency etc. Current research activities of our lab include analysis of expression pattern of ncRNAs by microarray and next-gen sequencing data and understanding the role of miRNAs or other regulatory RNAs in various diseases, especially cancer and validation by reporter assays (renilla/luciferase) and other experimental tools.</p>

<p>More @ http://vvekslab.in/index.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/6052/university-of-california-irvine-center-for-complex-biological-systems</guid>
	<pubDate>Mon, 04 Nov 2013 17:10:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/6052/university-of-california-irvine-center-for-complex-biological-systems</link>
	<title><![CDATA[University of California, Irvine - Center for Complex Biological Systems]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/chPJ6OdVl4o" frameborder="0" allowfullscreen></iframe>The University of California Irvine's Center for Complex Biological Systems got its start just as there was a revolution in biology. Systems Biology requires that scientists work across many disciplines including engineering, physics and mathematics. The Center specializes in helping form the kinds of teams that will propel biological research into the future. It is also proud to be able to train students in the new interdisciplinary approach.

http://ccbs.uci.edu]]></description>
	
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