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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/13226?offset=1350</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/39471/bioinformatics-for-precision-oncology-online-training-program-summer-2019</guid>
	<pubDate>Wed, 05 Jun 2019 15:04:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/39471/bioinformatics-for-precision-oncology-online-training-program-summer-2019</link>
	<title><![CDATA[Bioinformatics for Precision Oncology - Online Training Program, Summer 2019]]></title>
	<description><![CDATA[<p><img src="https://edu.t-bio.info/wp-content/uploads/2019/05/OncologyBioinformatics.jpeg" width="600" height="337.5" alt="image" style="border: 0px;"></p><p>The bioinforamtics for precision oncology online course provides an opportunity to learn about bioinformatics methods used in precision oncology research and practice. As a subset of precision medicine, precision oncology deals with molecular factors involved in the biological rpocesses that lead to cancer and can help diagnose, treat or prevent this disease. Oncology is driven by data, often times generated using Next Generation Sequencing (NGS) that helps us study the genomic and transcriptomic sub-cellular processes. Learn more and register:&nbsp;https://edu.t-bio.info/bioinformatics-training-precision-oncology/</p>]]></description>
	<dc:creator>eliabrodsky</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/4098/bioinformatics-algorithm-demonstrations-and-tutorials</guid>
	<pubDate>Thu, 29 Aug 2013 09:23:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/4098/bioinformatics-algorithm-demonstrations-and-tutorials</link>
	<title><![CDATA[Bioinformatics Algorithm Demonstrations and Tutorials]]></title>
	<description><![CDATA[<p>Abstract</p>
<p>This project presents demonstrations of selected computer science algorithms important in&nbsp;bioinformatics, implemented in the spreadsheet program Microsoft Excel. Spreadsheets provide an&nbsp;interesting platform for demonstration of algorithms, since various steps of the calculations can be&nbsp;exposed in a manner that is easily comprehensible to users with little programming experience. The&nbsp;algorithms demonstrated include two approaches to approximate string matching (dynamic programming&nbsp;and Shift-AND numeric approximate matching), Hierarchical Clustering (used in phylogenetic studies&nbsp;and microarray analysis of gene expression), a Naive Bayes Classifier for simulated microarray gene&nbsp;expression data, and a simple Neural Network. These demonstrations are designed to serve as&nbsp;instructional aids in bioinformatics courses.</p>
<p>Tutorial @&nbsp;http://www.cybertory.org/downloads/bae/BioinformaticsAlgorithmsInExcel.zip</p>
<p>One of the best resource for online bioinformatics learning is https://stepic.org/Bioinformatics-Algorithms-2 Enjoy the online learning.</p>
<p>Reference :&nbsp;cybertory</p>
<blockquote>
<p><span>" Please add your favourite bioinformatics algorithms and tutorial links below in the comment section, for the benefit of bioinformatics and computational biology community ".&nbsp;</span></p>
</blockquote><p>Address of the bookmark: <a href="http://www.cybertory.org/downloads/bae/BioinformaticsAlgorithmsExcelDoc.pdf" rel="nofollow">http://www.cybertory.org/downloads/bae/BioinformaticsAlgorithmsExcelDoc.pdf</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/40204/iitm-tokyo-tech-joint-symposium</guid>
	<pubDate>Thu, 24 Oct 2019 10:30:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/40204/iitm-tokyo-tech-joint-symposium</link>
	<title><![CDATA[IITM-Tokyo Tech Joint Symposium]]></title>
	<description><![CDATA[<p>The IITM-Tokyo Tech Joint Symposium is a biannual international symposium held in Indian Institute of Technology Madras (IITM), India in collaboration with Tokyo Institute of Technology (Tokyo-Tech), Japan. During the symposium, experts in various domains of Bioinformatics gather from India and Japan under one roof to discuss and present their works. This provides an unique opportunity to the researchers and students to learn the frontiers and interact with eminent scientists in Bioinformatics. The 5th IITM - Tokyo Tech Joint Symposium titled "Current trends in Bioinformatics: Big data analysis, machine learning and drug design", will be held on 6th - 7th March 2020 in IITM, Chennai, India.</p><p>The symposium will focus on topics in the below mentioned areas.</p><p>Topics: Algorithms for biomolecular sequences / structures Bioinformatics databases and tools Protein function Structure based drug design Machine learning Deep learning Large scale data analysis Big Data NGS Analysis Protein interactions/network Molecular modelling/docking/screening Biomolecular structure and function More</p><p>Info: https://web.iitm.ac.in/bioinfo2/symposium2020/home</p>]]></description>
	<dc:creator>Jit</dc:creator>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4162/4273%CF%80-bioinformatics-education-on-low-cost-arm-hardware</guid>
	<pubDate>Mon, 02 Sep 2013 07:02:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4162/4273%CF%80-bioinformatics-education-on-low-cost-arm-hardware</link>
	<title><![CDATA[4273π: Bioinformatics education on low cost ARM hardware]]></title>
	<description><![CDATA[<p>Are you teaching bioinformatics at universities and found it complicated by typical computer classroom settings. As well as running software locally and online, students should gain experience of systems administration. Hmm don't worry there is one new OS for the rescue. 4273<em>&pi;</em>, an operating system image for Raspberry Pi based on Raspbian Linux. It provides an attractive, general-purpose computing environment, within which the course 4273&pi; Bioinformatics for Biologists is embedded.<br /><br />Though far slower than current desktop and laptop computers, the Raspberry Pi is notably faster than the Cray 1 supercomputer, a marvel of computer speed in its day. The Raspberry Pi approach includes all the benefits of the laptop approach, above, but at lower cost. In addition, the Raspberry Pi is a new and exciting computer system, which in itself can add interest to the course.<br /><br />As the Raspbian operating system, Raspberry Pi firmware and hardware and 4273&pi; Bioinformatics for Biologists teaching material develop, further releases of 4273&pi; will be made available. It is anticipated that there will be a minimum of two releases per year during the next four years.</p><p>4273<em>&pi;</em> is a means to teach bioinformatics, including systems administration tasks, to undergraduates at low cost.</p><p>Descriptive paper @ http://www.biomedcentral.com/1471-2105/14/243</p><p>Image source: BMC Bioinformatics</p><p><img src="http://www.biomedcentral.com/content/download/figures/1471-2105-14-243-1.png" alt="image" style="border: 0px; border: 0px;"></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/40957/multiple-phd-positions</guid>
  <pubDate>Sun, 09 Feb 2020 03:10:28 -0600</pubDate>
  <link></link>
  <title><![CDATA[Multiple PhD positions]]></title>
  <description><![CDATA[
<p>14 PhD positions in the EU Horizon 2020 Marie Skłodowska-Curie Project PRECODE:<br />International training network which sets a joint research programme to train a new generation of leading scientists in model systems and methods for the development of new therapies for pancreatic cancer (PaCa)</p>

<p>http://precode-project.eu/jobs-board/#1572451761376-39d75f63-c6fb</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/42166/software-for-genome-assembly</guid>
	<pubDate>Sun, 30 Aug 2020 09:51:38 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/42166/software-for-genome-assembly</link>
	<title><![CDATA[Software for genome assembly !]]></title>
	<description><![CDATA[<p>List of bioinformatics tools/Software Website References for genome assembly:</p><p>1 Falcon&nbsp;https://github.com/PacificBiosciences/pb-assembly</p><p>2 Canu assembler http://canu.readthedocs.io/en/latest/index.html</p><p>3 Miniasm assembler https://github.com/lh3/miniasm</p><p>4 PBJelly scaffolding tool https://sourceforge.net/projects/pb-jelly/</p><p>5 ARCS scaffolding tool https://github.com/bcgsc/arcs</p><p>6 Redundans reduction and scaffolding tool https://github.com/Gabaldonlab/redundans</p><p>7 Arrow error correction https://github.com/PacificBiosciences/ GenomicConsensus</p><p>8 PILON error correction https://github.com/broadinstitute/pilon/wiki</p><p>9 BUSCO single copy gene markers http://busco.ezlab.org/</p><p>10 Bandage graph assembly viewer https://rrwick.github.io/Bandage/</p><p>11 Gepard dotter http://cube.univie.ac.at/gepard</p><p>12 MUMmer aligner and plotter http://mummer.sourceforge.net/</p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43256/senior-scientist-bioinformatics-eurofins-genomics-india-pvt-ltd-bengaluru</guid>
  <pubDate>Sat, 14 Aug 2021 13:17:36 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Scientist bioinformatics @ Eurofins Genomics India Pvt Ltd, Bengaluru.]]></title>
  <description><![CDATA[
<p>Eurofins hiring @ Eurofins Genomics India Pvt Ltd, Bengaluru.</p>

<p>Designation: Senior Scientist bioinformatics<br />Experience: 8-9 years of experience in bioinformatics analysis of various NGS applications such as WGS, RNASeq, Metagenome, small RNA.</p>

<p>Location: Bangalore</p>

<p>Roles &amp; Responsibilities:<br />-Develop NGS pipeline for analysis and interpretation of NGS data<br />-Organizing and managing large scale genomic data<br />-Should have experience in NGS data analysis, such as WGS, RNASeq, Small RNA, Metagenome (16S, ITS, Whole metagenome)etc.<br />-Should also have good programming skills in perl or python, PHP,J Query, MySql.<br />-Manage project timelines and deliverables.<br />-Implement and execute data processing workflows and automate the pipelines.</p>

<p>If you are interested, please send your profile to me at arpitaghosh@eurofins.com with “Senior Scientist bioinformatics for Genomics” as the subject.</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43890/immediate-opening-for-senior-and-lead-bioinformatics-engineers-at-medgenome</guid>
  <pubDate>Sat, 04 Jun 2022 09:00:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[Immediate opening for senior and lead bioinformatics engineers at MedGenome]]></title>
  <description><![CDATA[
<p>Immediate opening for senior and lead bioinformatics engineers at MedGenome</p>

<p>Mandatory requirements<br />Knowledge of #Python,#PERL,#R (one or more) and shell environment (#linux )<br />Knowledge about database - #mysql, #oracle, #mongodb (one or more)<br />Past industry experience &gt;= 2 years or equivalent</p>

<p>Other skill sets<br />Knowledge of #nextflow and/or #snakemake<br />Basic knowledge of bioinformatics/genomics</p>

<p>Send your applications to careers@medgenome.com</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4653/human-genome-meeting-2014-geneva-switzerland</guid>
  <pubDate>Fri, 20 Sep 2013 12:36:44 -0500</pubDate>
  <link></link>
  <title><![CDATA[Human Genome Meeting 2014, Geneva, Switzerland]]></title>
  <description><![CDATA[
<p>The spectacular advances of the last few years resulted in the rapid analysis of the genome sequence of each individual. The biomedical world is now faced with the enormous challenges of assigning pathogenicity to each genomic variant, the functional analysis of the genome of each individual, and the accurate and detailed phenotypic characterization. Advances in these challenges are likely to fundamentally change the medical practice in a global scale.</p>

<p>This 2014 HUGO Meeting in Geneva will be a Forum for discussions on innovative approaches, and proposals to tackle the anticipated challenges.</p>

<p>Time : 27 April 2014 - 30 April 2014 </p>

<p>For enquiries, please email hugo2014@mci-group.com or visit www.hugo-international.org</p>

<p>More at http://www.hgm2014-geneva.org/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43084/frequently-used-bioinformatics-tools-for-viral-genome-analysis</guid>
	<pubDate>Wed, 23 Jun 2021 07:40:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43084/frequently-used-bioinformatics-tools-for-viral-genome-analysis</link>
	<title><![CDATA[Frequently used bioinformatics tools for viral genome analysis !]]></title>
	<description><![CDATA[<p><strong>IVA: accurate de novo assembly of RNA virus genomes.</strong><br /> Hunt M, Gall A, Ong SH, Brener J, Ferns B, Goulder P, Nastouli E, Keane JA, Kellam P, Otto TD.<br /> Bioinformatics. 2015 Jul 15;31(14):2374-6. doi: <a href="http://bioinformatics.oxfordjournals.org/content/31/14/2374.long">10.1093/bioinformatics/btv120</a>. Epub 2015 Feb 28.</p><p><a href="http://www.nature.com/nmeth/journal/v9/n1/full/nmeth.1814.html"><strong>Adapter sequences</strong></a>:<br /> <strong>Optimal enzymes for amplifying sequencing libraries.</strong><br /> Quail, M. a et al. Nat. Methods 9, 10-1 (2012).</p><p><a href="http://genome.cshlp.org/content/early/2012/01/12/gr.131383.111"><strong>GAGE</strong></a>:<br /> <strong>GAGE: A critical evaluation of genome assemblies and assembly algorithms.</strong><br /> Salzberg, S. L. et al. Genome Res. 22, 557-67 (2012).</p><p><a href="http://www.biomedcentral.com/1471-2105/14/160"><strong>KMC</strong></a>:<br /> <strong>Disk-based k-mer counting on a PC.</strong><br /> Deorowicz, S., Debudaj-Grabysz, A. &amp; Grabowski, S. BMC Bioinformatics 14, 160 (2013).</p><p><a href="http://genomebiology.com/2014/15/3/R46"><strong>Kraken</strong></a>:<br /> <strong>Kraken: ultrafast metagenomic sequence classification using exact alignments.</strong><br /> Wood, D. E. &amp; Salzberg, S. L. Genome Biol. 15, R46 (2014).</p><p><a href="http://genomebiology.com/2004/5/2/r12"><strong>MUMmer</strong></a>:<br /> <strong>Versatile and open software for comparing large genomes.</strong><br /> Kurtz, S. et al. Genome Biol. 5, R12 (2004).</p><p><strong>R</strong>:<br /> <strong>R: A language and environment for statistical computing.</strong><br /> R Core Team (2013). R Foundation for Statistical Computing, Vienna, Austria. URL <a href="http://www.R-project.org/">http://www.R-project.org/</a>.</p><p><a href="http://nar.oxfordjournals.org/content/39/9/e57"><strong>RATT</strong></a>:<br /> <strong>RATT: Rapid Annotation Transfer Tool.</strong><br /> Otto, T. D., Dillon, G. P., Degrave, W. S. &amp; Berriman, M. Nucleic Acids Res. 39, e57 (2011).</p><p><a href="http://bioinformatics.oxfordjournals.org/content/25/16/2078.abstract"><strong>SAMtools</strong></a>:<br /> <strong>The Sequence Alignment/Map format and SAMtools.</strong><br /> Li, H. et al. Bioinformatics 25, 2078-9 (2009).</p><p><a href="http://bioinformatics.oxfordjournals.org/content/early/2014/04/12/bioinformatics.btu170"><strong>Trimmomatic</strong></a>:<br /> <strong>Trimmomatic: A flexible trimmer for Illumina Sequence Data.</strong><br /> Bolger, A. M., Lohse, M. &amp; Usadel, B. Bioinformatics 1-7 (2014).</p>]]></description>
	<dc:creator>Neel</dc:creator>
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