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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30304?offset=730</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/38302/senior-bioinformatics-scientist-at-elucidata</guid>
  <pubDate>Tue, 27 Nov 2018 04:05:57 -0600</pubDate>
  <link></link>
  <title><![CDATA[Senior Bioinformatics Scientist at Elucidata]]></title>
  <description><![CDATA[
<p>Key Responsibilities <br />- Process and analyse metabolomic, transcriptional, genomics, proteomics <br />and any other kind of biological data. <br />- Interpret the data in the context of relevant biological literature to generate <br />actionable insights. <br />- Communicate the findings from data and literature to biologists and use the <br />biological insights to derive next steps/analyses. <br />- Communicate work through blogs, meet-ups, research papers, posters, etc. <br />- Identify, troubleshoot, and implement improvements to existing pipelines <br />and algorithms. <br />- Identify and implement new tools and pipelines to use for different types of <br />biological data. <br />- Work in a multi-disciplinary team with biologists, data scientists and data <br />analysts. <br />- Help with any other requirements (from database design to generating <br />prototypes for the product team).</p>

<p>Requirements <br />- 3-5 years of relevant bioinformatics experience such as public data mining, <br />processing, analysing and visualising omics data, etc. <br />- Ph.D., Masters or Bachelors in Bioinformatics, Biotechnology, <br />Computational Biology, or related field. <br />- Understanding of molecular biology and biochemistry. <br />- Comfort and experience with biological research and data. <br />- Proficient in a programming language used for bioinformatics such as R or <br />python. <br />- Excellent communication skills. <br />- Ability to summarise and simplify complex analyses for a non-technical <br />audience. <br />- Strong analytical skills, curiosity and a knack to solve difficult problems. <br />- Work well in multi-disciplinary teams with people of vastly different <br />backgrounds. <br />- Demonstrated success in collaboration and independent work.</p>

<p>More at https://angel.co/elucidata/jobs/460104-senior-bioinformatics-scientist</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/39025/binc-exam-merged-with-dbt-bet-jrf-exam</guid>
	<pubDate>Thu, 21 Feb 2019 09:37:36 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/39025/binc-exam-merged-with-dbt-bet-jrf-exam</link>
	<title><![CDATA[BINC Exam merged with DBT- BET JRF Exam]]></title>
	<description><![CDATA[<p>Another breaking news received has been received from the Department of biotechnology &ndash; DBT. As per a notification released by DBT, Bioinformatics National Certification (BINC) Exam conducted once per year by DBT has been now merged with DBT- BET JRF Exam.</p><p>Also, Bioinformatics Industrial Training Program (BIITP) is merged with the HRD Biotechnology Industrial Training Programme (BITP).</p><p>While this comes as a surprise for a lot of participants. We believe this is a good attempt to unify and create a national benchmark for talent. And we appreciate this endeavor from Department of biotechnology.</p><p>However, such last-minute announcements can create confusion. Thus candidates are advised to go through the complete notification DBT-BET JRF 2019 via the link below.If you have any kind of doubts, you must contact DBT JRF or Biotecnika for any kind of help &amp; assistance.</p><p><br />Attention:-Bioinformatics Programs (BINC and BIITP)</p><p>1. Bioinformatics National Certification (BINC) has been merged with DBT-Junior<br />Research Fellow (BET Exam)</p><p>2. Bioinformatics Industrial Training Program (BIITP) is merged with HRDBiotechnology Industrial Training Programme (BITP).</p><p>Students of Bioinformatics, who are interested to apply for Fellowship or Industrial<br />Training may keep track of the advertisement of DBT-JRF (BET Exam) and BITP<br />of DBT.</p><p>&nbsp;More at&nbsp;http://www.bcil.nic.in/files/Attention_Bioinformatics_Programs_(BINC_and_BIITP).pdf</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34396/pore-an-r-package-for-the-visualization-and-analysis-of-nanopore-sequencing-data</guid>
	<pubDate>Thu, 23 Nov 2017 09:55:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34396/pore-an-r-package-for-the-visualization-and-analysis-of-nanopore-sequencing-data</link>
	<title><![CDATA[poRe: an R package for the visualization and analysis of nanopore sequencing data]]></title>
	<description><![CDATA[<p><strong>Motivation:</strong>&nbsp;The Oxford Nanopore MinION device represents a unique sequencing technology. As a mobile sequencing device powered by the USB port of a laptop, the MinION has huge potential applications. To enable these applications, the bioinformatics community will need to design and build a suite of tools specifically for MinION data.</p>
<p><strong>Results:</strong>&nbsp;Here we present poRe, a package for R that enables users to manipulate, organize, summarize and visualize MinION nanopore sequencing data. As a package for R, poRe has been tested on Windows, Linux and MacOSX. Crucially, the Windows version allows users to analyse MinION data on the Windows laptop attached to the device.</p>
<p><strong>Availability and implementation:</strong>&nbsp;poRe is released as a package for R at&nbsp;<a href="http://sourceforge.net/projects/rpore/" target="">http://sourceforge.net/projects/rpore/</a>&nbsp;. A tutorial and further information are available at&nbsp;<a href="https://sourceforge.net/p/rpore/wiki/Home/" target="">https://sourceforge.net/p/rpore/wiki/Home/</a></p>
<p><strong>Contact:</strong><a href="mailto:mick.watson@roslin.ed.ac.uk" target="">mick.watson@roslin.ed.ac.uk</a></p><p>Address of the bookmark: <a href="https://academic.oup.com/bioinformatics/article/31/1/114/2365693" rel="nofollow">https://academic.oup.com/bioinformatics/article/31/1/114/2365693</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40235/bioinformatics-web-development-course</guid>
	<pubDate>Wed, 06 Nov 2019 20:42:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40235/bioinformatics-web-development-course</link>
	<title><![CDATA[Bioinformatics web development course]]></title>
	<description><![CDATA[<p>This web development course, targeted at Biology and Bioinformatics students, aims at teaching from scratch all the skills needed to setup a fully working Linux web server and to develop and deploy web applications for Bioinformatics.</p>
<p>No previous programming knowledge is assumed. By following this tutorial you will learn the fundamental concepts of programming by using scripting languages: variables, types, arrays, cycles, conditional statements, functions, objects, regular expressions, files reading and manipulation et-cetera.</p><p>Address of the bookmark: <a href="http://www.cellbiol.com/bioinformatics_web_development/introduction/" rel="nofollow">http://www.cellbiol.com/bioinformatics_web_development/introduction/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/40945/the-clark-lab</guid>
  <pubDate>Fri, 07 Feb 2020 13:57:24 -0600</pubDate>
  <link></link>
  <title><![CDATA[The Clark Lab]]></title>
  <description><![CDATA[
<p>Study the process of Adaptive Evolution, during which species adopt novel traits to overcome challenges. We retrace the evolutionary histories of genomic elements to determine the changes underlying adaptation and to discover previously unknown genetic networks. These discoveries have already led to advances in human health, species conservation, and molecular biology. </p>

<p>More at http://clark.genetics.utah.edu/</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35292/pgap-x-extension-on-pan-genome-analysis-pipeline</guid>
	<pubDate>Tue, 23 Jan 2018 11:41:43 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35292/pgap-x-extension-on-pan-genome-analysis-pipeline</link>
	<title><![CDATA[PGAP-X: Extension on pan-genome analysis pipeline]]></title>
	<description><![CDATA[<p>PGAP-X is a microbial comparative genomic analysis platform with graphic interface. Serials of algorithms and methodologies have been developed and integrated to analyze and visualize genomics structure variation, gene distribution with different conservative levels, and genetic variation from pan-genome sight. At the same time, analytical result data from many other programs, including genome alignment result and orthologs clusters, are also supported to be further analyzed or visualized in PGAP-X. The workflow and feature snapshot in PGAP-X were shown as Fig.1 and Fig.2.</p>
<div><img src="https://pgapx.ybzhao.com/image/f1.jpg" alt="image" style="border: 0px; border: 0px;"></div>
<div>&nbsp;</div>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://pgapx.ybzhao.com/" rel="nofollow">https://pgapx.ybzhao.com/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36730/bprna-large-scale-automated-annotation-and-analysis-of-rna-secondary-structure</guid>
	<pubDate>Wed, 23 May 2018 03:24:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36730/bprna-large-scale-automated-annotation-and-analysis-of-rna-secondary-structure</link>
	<title><![CDATA[bpRNA: large-scale automated annotation and analysis of RNA secondary structure]]></title>
	<description><![CDATA[<p>bpRNA, a novel annotation tool capable of parsing RNA structures, including complex pseudoknot-containing RNAs, to yield an objective, precise, compact, unambiguous, easily-interpretable description of all loops, stems, and pseudoknots, along with the positions, sequence, and flanking base pairs of each such structural feature.</p>
<p>The bpRNA code is written in perl and requires the Graph perl module. Several additional scripts for analysis are included. The source code is available at http://github.com/hendrixlab/bpRNA.</p><p>Address of the bookmark: <a href="http://github.com/hendrixlab/bpRNA" rel="nofollow">http://github.com/hendrixlab/bpRNA</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42165/bioinformatics-scientistresearch-software-engineer-at-university-of-dundee-dundee-united-kingdom</guid>
  <pubDate>Wed, 26 Aug 2020 10:31:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Scientist/Research Software Engineer at University of Dundee Dundee, United Kingdom]]></title>
  <description><![CDATA[
<p>We are recruiting for an exceptional individual to join us as a computational scientist, bioinformatician, or (research) software engineer with an interest in interactive data analysis platforms for biology and medicine within our Jalview (www.jalview.org) research software engineering team.</p>

<p>More at https://www.jobs.dundee.ac.uk/fe/tpl_uod01.asp?s=4A515F4E5A565B1A&amp;jobid=104342,2382988671&amp;key=147934117&amp;c=99413415238921&amp;pagestamp=sesxbbuyifokdsfygf</p>

<p>Last date: 30th August 2020</p>

<p>Informal enquiries about this position may be made to Prof. Geoff Barton (gjbarton@dundee.ac.uk) or Dr Jim Procter (jprocter@dundee.ac.uk). To find out more about Jalview research software engineering team please visit www.jalview.org and www.compbio.dundee.ac.uk</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40298/environment-for-tree-exploration-ete-is-a-python-programming-toolkit-that-assists-in-the-recontruction-manipulation-analysis-and-visualization-of-phylogenetic-trees</guid>
	<pubDate>Wed, 27 Nov 2019 05:32:33 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40298/environment-for-tree-exploration-ete-is-a-python-programming-toolkit-that-assists-in-the-recontruction-manipulation-analysis-and-visualization-of-phylogenetic-trees</link>
	<title><![CDATA[Environment for Tree Exploration (ETE) is a Python programming toolkit that assists in the recontruction, manipulation, analysis and visualization of phylogenetic trees]]></title>
	<description><![CDATA[<p><span>The Environment for Tree Exploration (ETE) is a Python programming toolkit that assists in the recontruction, manipulation, analysis and visualization of phylogenetic trees (although clustering trees or any other tree-like data structure are also supported).</span></p>
<p><span>Other tools</span></p>
<p><span><a href="https://github.com/shenwei356/taxonkit">https://github.com/shenwei356/taxonkit</a></span></p>
<p>&nbsp;</p>
<ul>
<li>ETE, version:&nbsp;<a href="https://pypi.org/project/ete3/3.1.1/">3.1.1</a></li>
<li>BioPython, version:&nbsp;<a href="https://pypi.org/project/biopython/1.73/">1.73</a></li>
<li>taxadb, version:&nbsp;<a href="https://pypi.org/project/taxadb/0.9.0">0.10.1</a></li>
<li>TaxonKit, version:&nbsp;<a href="https://github.com/shenwei356/taxonkit/releases/tag/0.10.1">0.5.0</a></li>
</ul><p>Address of the bookmark: <a href="https://pypi.org/project/ete3/3.1.1/" rel="nofollow">https://pypi.org/project/ete3/3.1.1/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42227/two-faculty-positions-at-national-taiwan-university-taipei-taiwan</guid>
  <pubDate>Thu, 22 Oct 2020 04:53:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[Two Faculty Positions at National Taiwan University, Taipei, Taiwan]]></title>
  <description><![CDATA[
<p>The Department of Agronomy at National Taiwan University, Taipei, Taiwan,<br />invites applications for two full-time faculty positions beginning August<br />1, 2021 at the rank of Assistant Professor, Associate Professor or<br />Professor in Biometry and Bioinformatics and Plant Breeding and Genetics,<br />respectively.</p>

<p>A qualified candidate should hold a Ph.D. in a relevant field including<br />Agronomy, Statistics, Bioinformatics, Plant Breeding, Plant Genetics or<br />Quantitative Genetics. For the position in Biometry and Bioinformatics, the<br />applicants capable of teaching fundamental statistics/bioinformatics<br />courses or with experience in crop science are preferable; for Plant<br />Breeding and Genetics, the applicants capable of teaching fundamental plant<br />breeding courses, with experience in crop breeding, or training in<br />quantitative genetics are preferred.</p>

<p>The application package should include two letters of reference and five<br />printed copies of the following documents (1) curriculum vitae, (2)<br />publication list, (3) undergraduate and graduate transcripts if applying<br />for the Assistant Professorship, (4) a photocopy of the Ph.D. diploma, (5)<br />teaching plan and course outline or syllabus (6) research proposal, (7) a<br />cover letter indicating the rank to apply, and one representative original<br />research article which was published by the applicant being the 1st or<br />corresponding author in an SCI peer-reviewed journal within 5 years (after<br />August 1, 2016); a copy of doctoral dissertation can be the representative<br />article if applying for the Assistant Professorship; (8) reprints of the<br />selected publications published within 7 years (after August 1, 2014).</p>

<p>The application package should mail to the Chair, Dr. Li-yu Daisy Liu<br />(lyliu@ntu.edu.tw), in the Department of Agronomy, National Taiwan<br />University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan, before<br />December 15, 2020 for full consideration.</p>
]]></description>
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