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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/13842?offset=1350</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/37581/comparativegenomics-exercise2</guid>
	<pubDate>Wed, 22 Aug 2018 22:10:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/37581/comparativegenomics-exercise2</link>
	<title><![CDATA[ComparativeGenomics Exercise2]]></title>
	<description><![CDATA[<p>COMPARATIVE MICROBIAL GENOMICS ANALYSIS WORKSHOP&nbsp; @&nbsp;cbs.dtu.dk</p><p>Free Bioinformatics workbench https://www.mn.uio.no/ifi/english/research/networks/clsi/earlier_seminars/2012/tammivesth_osloseminarfinal.pdf</p>]]></description>
	<dc:creator>Neel</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/37581" length="139956" type="application/pdf" />
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38039/vgsc-a-web-based-vector-graph-toolkit-of-genome-synteny-and-collinearity</guid>
	<pubDate>Tue, 30 Oct 2018 10:46:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38039/vgsc-a-web-based-vector-graph-toolkit-of-genome-synteny-and-collinearity</link>
	<title><![CDATA[VGSC: A Web-Based Vector Graph Toolkit of Genome Synteny and Collinearity]]></title>
	<description><![CDATA[<p><span>VGSC, the Vector Graph toolkit of genome Synteny and Collinearity, and its online service, to visualize the synteny and collinearity in the common graphical format, including both raster (JPEG, Bitmap, and PNG) and vector graphic (SVG, EPS, and PDF).</span><em>&nbsp;</em></p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783527/" rel="nofollow">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783527/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/38418/charles-swanton-lab</guid>
  <pubDate>Tue, 11 Dec 2018 08:09:22 -0600</pubDate>
  <link></link>
  <title><![CDATA[CHARLES SWANTON LAB]]></title>
  <description><![CDATA[
<p>They are using the latest DNA sequencing technology to read the genetic makeup of cancer cells within tumours in ever greater detail, teasing out patterns of evolution (evolutionary rule books), cancer heterogeneity and working out what changes have happened as a tumour evolves. We’re also investigating the processes that cause mutations and accelerate tumour evolution and working out how they might be stopped. And we are running evolutionary clinical trials with immune and targeted therapies to bring the benefits of our work to patients as quickly as possible.</p>

<p>https://www.crick.ac.uk/research/labs/charles-swanton</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38735/genome-assembly-tutorial-genome-assembly-for-short-and-long-reads</guid>
	<pubDate>Sat, 19 Jan 2019 17:29:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38735/genome-assembly-tutorial-genome-assembly-for-short-and-long-reads</link>
	<title><![CDATA[Genome assembly tutorial &quot;Genome Assembly for short and long reads&quot;]]></title>
	<description><![CDATA[<p>In this lab we will perform de novo genome assembly of a bacterial genome. You will be guided through the genome assembly starting with data quality control, through to building contigs and analysis of the results. At the end of the lab you will know:</p>
<ol>
<li>How to perform basic quality checks on the input data</li>
<li>How to run a short read assembler on Illumina data</li>
<li>How to run a long read assembler on Pacific Biosciences or Oxford Nanopore data</li>
<li>How to improve the accuracy of a long read assembly using short reads</li>
<li>How to assess the quality of an assembly</li>
</ol>
<p>https://bioinformaticsdotca.github.io/high-throughput_biology_2017</p><p>Address of the bookmark: <a href="https://bioinformaticsdotca.github.io/high-throughput_biology_2017_module6_lab" rel="nofollow">https://bioinformaticsdotca.github.io/high-throughput_biology_2017_module6_lab</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39250/darwin-wga-a-co-processor-provides-increased-sensitivity-in-whole-genome-alignments-with-high-speedup</guid>
	<pubDate>Sat, 13 Apr 2019 08:55:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39250/darwin-wga-a-co-processor-provides-increased-sensitivity-in-whole-genome-alignments-with-high-speedup</link>
	<title><![CDATA[Darwin-WGA: A Co-processor Provides Increased Sensitivity in Whole Genome Alignments with High Speedup]]></title>
	<description><![CDATA[<p>Darwin-WGA, is the first hardware accelerator for whole genome alignment and accelerates the gapped filtering stage. Darwin-WGA also employs GACT-X, a novel algorithm used in the extension stage to align arbitrarily long genome sequences using a small on-chip memory, that provides better quality alignments at 2&times; improvement in memory and speed over the previously published GACT algorithm. Implemented on an FPGA, Darwin-WGA provides up to 24&times; improvement (performance/$) in WGA over iso-sensitive software.</p>
<p><a href="https://stanford.edu/~yatisht/pubs/darwin-wga.pdf">https://stanford.edu/~yatisht/pubs/darwin-wga.pdf</a></p><p>Address of the bookmark: <a href="https://github.com/gsneha26/Darwin-WGA" rel="nofollow">https://github.com/gsneha26/Darwin-WGA</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/33629/list-of-universities-offering-bachelor-master-or-phd-bioinformatics-degree-in-malaysia</guid>
	<pubDate>Thu, 22 Jun 2017 01:34:02 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/33629/list-of-universities-offering-bachelor-master-or-phd-bioinformatics-degree-in-malaysia</link>
	<title><![CDATA[List of universities offering Bachelor,  Master or PhD bioinformatics degree in Malaysia]]></title>
	<description><![CDATA[<p>Bioinformatics is a newly emerging interdisciplinary research area, which may be defined as the ―interface between biological and computational sciences. Most of the Bioinformatics work that is done can be described as analyzing biological data, although a growing number of projects deal with the organization of biological information. The global Bioinformatics industry has grown at a double-digit growth rate in the past and is expected to follow the same pattern in the next four years. US remains the largest market in the world, but Asia-Pacific countries, particularly India and China, are witnessing the fastest growth and are anticipated to emerge as the dominating forces in future. The Comparison of Bioinformatics Industry between Malaysia, India and other countries&nbsp;are discussed in this&nbsp;<span>http://ijbssnet.com/journals/Vol.%202_No._10;_June_2011/11.pdf paper.</span></p><p>Bioinformatics is full of opportunities. The sector is poised to open new avenues for the other related sectors also. But the biggest opportunity area in the Bioinformatics market will be in the drug discovery sector. Reduction of both the cost and time taken to discover a new drug due to fast development in the Bioinformatics tools and software zone is also making drug discovery an attractive field to venture in. Malaysian bioinformatics growth and future are discuss in this https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2723929/ paper.&nbsp;Keeping all such inportance in mind, following universities in Malaysia offering bioinformatics cources:</p><p><strong>3 program(s) at AIMST University<strong>, Malaysia</strong></strong></p><p>Master of Science in Biotechnology (MSc) - Bioinformatics by Research</p><p>Master of Science (M.Sc) in Medical Microbiology (Bioinformatics) by Research</p><p>Doctor of Philosophy in Biotechnology (PhD) - Bioinformatics by Research</p><p>&nbsp;</p><p><strong>1 program(s) at INTI International University and Colleges<strong>, Malaysia</strong></strong></p><p>American Degree Transfer Program (Biosciences) in Bioinformatics</p><p>&nbsp;</p><p><strong>3 program(s) at Management and Science University (MSU)<strong>, Malaysia</strong></strong></p><p>Master in Bioinformatics (By Research)</p><p>PhD in Bioinformatics</p><p>Bachelor in Bioinformatics (Hons)</p><p>&nbsp;</p><p><strong>1 program(s) at Multimedia University (MMU)<strong>, Malaysia</strong></strong></p><p>Bachelor of Science (Honours) Bioinformatics</p><p>&nbsp;</p><p><strong>1 program(s) at Universiti Industri Selangor (UNISEL) Bestari Jaya Campus<strong>, Malaysia</strong></strong></p><p>Bachelor of Bioinformatics (Hons)</p><p>&nbsp;</p><p><strong>2 program(s) at Universiti Malaysia Sabah (UMS)<strong>, Malaysia</strong></strong></p><p>PhD - Doctor of Philosophy in Bioinformatics (By Research)</p><p>MSc - Master of Science in Bioinformatics (By Research)</p><p>&nbsp;</p><p><strong>6 program(s) at Universiti Putra Malaysia (UPM)<strong>, Malaysia</strong></strong></p><p>MSc - Master of Science in Bioinformatics by Research</p><p>Master of Science in Bioinformatics and System Biology by Research</p><p>Master of Science (M.Sc) in Bioinformatics and Systems Biology (With Thesis)</p><p>PhD - Doctor of Philosophy in Bioinformatics by Research</p><p>PhD - Doctor of Philosophy in Bioinformatics and Systems Biology (With Thesis)</p><p>PhD - Doctor of Philosophy in Bioinformatics and System Biology by Research</p><p>&nbsp;</p><p><strong>1 program(s) at Universiti Selangor (UNISEL)<strong>, Malaysia</strong></strong></p><p>Bachelor of Bioinformatics (Hons)</p><p>&nbsp;</p><p><strong>3 program(s) at Universiti Teknologi Malaysia (UTM)<strong>, Malaysia</strong></strong></p><p>M.Sc - Master of Science (Bioscience) in Bioinformatics Research Group (BIRG) By Research</p><p>PhD - Doctor of Philosophy (Bioscience) in Bioinformatics Research Group (BIRG) By Research</p><p>Bachelor of Computer Science (BioInformatics)</p><p>&nbsp;</p><p><strong>4 program(s) at University of Malaya (UM)<strong>, Malaysia</strong></strong></p><p>MSc - Master of Science in Bioinformatics by Research</p><p>Master in Bioinformatics by Coursework</p><p>PhD - Doctor of Philosophy in Bioinformatics by Research</p><p>Bachelor of Science (BSc) in Bioinformatics</p><p>&nbsp;</p><p><strong>3 program(s) at Perdana University<strong>, Malaysia</strong></strong></p><p>Master in Bioinformatics (By Research)</p><p>PhD in Bioinformatics</p><p>Bachelor in Bioinformatics (Hons)</p><p>&nbsp;</p><p><strong>3 program(s) at&nbsp;Monash University, Malaysia</strong></p><p>Master in Bioinformatics (By Research)</p><p>PhD in Bioinformatics</p><p>Bachelor in Bioinformatics (Hons)</p><p>&nbsp;</p><p><span>The real bioinformatics scope lies if there are research labs which work in this field. One has to take account of that. If so then try to get information of those labs and visit them to get a hang of the work they pursue. For detail Bioinformatics in Malaysia: Hope, Initiative, Effort, Reality, and Challenges are discussed in&nbsp;<span>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2723929/ paper.</span></span></p>]]></description>
	<dc:creator>sahabuddin</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40208/ragoo-fast-reference-guided-scaffolding-of-genome-assembly-contigs</guid>
	<pubDate>Sun, 27 Oct 2019 00:57:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40208/ragoo-fast-reference-guided-scaffolding-of-genome-assembly-contigs</link>
	<title><![CDATA[RaGOO: Fast Reference-Guided Scaffolding of Genome Assembly Contigs]]></title>
	<description><![CDATA[<p>Alonge M, Soyk S, Ramakrishnan S, Wang X, Goodwin S, Sedlazeck FJ, Lippman ZB, Schatz MC:&nbsp;<a href="https://www.biorxiv.org/content/early/2019/01/13/519637">Fast and accurate reference-guided scaffolding of draft genomes</a>.&nbsp;<em>bioRxiv</em>&nbsp;2019.</p>
<p>RaGOO is a tool for coalescing genome assembly contigs into pseudochromosomes via minimap2 alignments to a closely related reference genome. The focus of this tool is on practicality and therefore has the following features:</p>
<ol>
<li>Good performance. On a MacBook Pro using Arabidopsis data, pseudochromosome construction takes less than a minute and the whole pipeline with SV calling takes ~2 minutes.</li>
<li>Intact ordering and orienting of contigs.</li>
<li><a href="https://github.com/malonge/RaGOO/wiki/Misassembly-Correction">Misassembly correction</a></li>
<li><a href="https://github.com/malonge/RaGOO/wiki/GFF-File-Lift-Over">GFF lift-over</a></li>
<li><a href="https://github.com/malonge/RaGOO/wiki/Calling-Structural-Variants">Structural variant calling with and integrated version of Assemblytics</a></li>
<li>Confidence scores associated with the grouping, localization, and orientation for each contig.</li>
</ol><p>Address of the bookmark: <a href="https://github.com/malonge/RaGOO" rel="nofollow">https://github.com/malonge/RaGOO</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21685/uiar-short-term-trainingfinal-year-dissertation-project-in-life-sciencesbioinformaticsbiotech</guid>
  <pubDate>Mon, 16 Mar 2015 23:56:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[UIAR Short-Term Training/Final Year Dissertation Project in Life Sciences/Bioinformatics/Biotech]]></title>
  <description><![CDATA[
<p>Short-term training/Final year dissertation project</p>

<p>Candidates desirous of doing a short-term training / final year dissertation project for MSc (Life Sciences/Bioinformatics/Biotechnology or any science discipline) at UIAR Biophysics and Bioinformatics department may please drop an email atanju@iiar.res.in along with their resume.</p>

<p>Selected candidates will be further intimated. There will be a fees charged for doing the project at UIAR. The projects will be experimental or computational or involve both.</p>

<p>The training scope will be in the following areas but not limited to:</p>

<p>Bioinformatics analysis, Docking and Virtual screening, Molecular Dynamics simulation, Cloning, expression and purification of proteins, Biophysical and Biochemical characterisation of proteins, Crystallization and Structural Studies.</p>

<p>Advertisement: www.iiar.res.in/?q=node/450</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40613/genome-in-a-bottle-giab-consortium</guid>
	<pubDate>Sat, 25 Jan 2020 13:50:52 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40613/genome-in-a-bottle-giab-consortium</link>
	<title><![CDATA[Genome in a Bottle (GIAB) Consortium]]></title>
	<description><![CDATA[<p><span>The</span><a href="http://www.genomeinabottle.org/"> Genome in a Bottle (GIAB) Consortium</a><span> is a public-private-academic consortium hosted by </span><a href="http://www.nist.gov/" target="_blank">NIST</a><span> to develop the technical infrastructure (reference standards, reference methods, and reference data) to enable translation of whole human genome sequencing to clinical practice. </span></p>
<p><span><a href="https://www.nist.gov/news-events/news/2016/09/nist-releases-new-family-standardized-genomes">https://www.nist.gov/news-events/news/2016/09/nist-releases-new-family-standardized-genomes</a></span></p><p>Address of the bookmark: <a href="https://jimb.stanford.edu/giab/" rel="nofollow">https://jimb.stanford.edu/giab/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42415/sneakysnake-a-fast-and-accurate-universal-genome-pre-alignment-filter-for-cpus-gpus-and-fpgas</guid>
	<pubDate>Sun, 20 Dec 2020 01:39:54 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42415/sneakysnake-a-fast-and-accurate-universal-genome-pre-alignment-filter-for-cpus-gpus-and-fpgas</link>
	<title><![CDATA[SneakySnake: A Fast and Accurate Universal Genome Pre-Alignment Filter for CPUs, GPUs, and FPGAs]]></title>
	<description><![CDATA[<p><span>The first and the only pre-alignment filtering algorithm that works efficiently and fast on modern CPU, FPGA, and GPU architectures. SneakySnake greatly (by more than two orders of magnitude) expedites sequence alignment calculation for both short (Illumina) and long (ONT and PacBio) reads. Described by Alser et al. (preliminary version at&nbsp;</span><a href="https://arxiv.org/abs/1910.09020">https://arxiv.org/abs/1910.09020</a><span>).</span></p><p>Address of the bookmark: <a href="https://github.com/CMU-SAFARI/SneakySnake" rel="nofollow">https://github.com/CMU-SAFARI/SneakySnake</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

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