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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/10664?offset=710</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43390/getting-started-with-nextflow</guid>
	<pubDate>Sat, 18 Sep 2021 01:28:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43390/getting-started-with-nextflow</link>
	<title><![CDATA[Getting Started with Nextflow]]></title>
	<description><![CDATA[<p>Introduction to Bioinformatics workflows with Nextflow and nf-core</p>
<p>Getting Started with Nextflow</p>
<p>Objectives Understand</p>
<p>What a workflow management system is.</p>
<p>Understand the benefits of using a workflow management system.</p>
<p>Explain the benefits of using Nextflow as part of your bioinformatics workflow.</p>
<p>Explain the components of a Nextflow script.</p>
<p>Run a Nextflow script.</p>
<h1 style="font-size: 36px; margin: 20px 0px 10px; font-weight: 500; text-align: center;"><a href="https://carpentries-incubator.github.io/workflows-nextflow/index.html">Introduction to Bioinformatics workflows with Nextflow and nf-core</a></h1>
<h1 id="getting-started-with-nextflow" style="font-size: 36px; margin: 20px 0px 10px; font-weight: 500; color: inherit; text-align: center;">Getting Started with Nextflow</h1><p>Address of the bookmark: <a href="https://carpentries-incubator.github.io/workflows-nextflow/aio/index.html" rel="nofollow">https://carpentries-incubator.github.io/workflows-nextflow/aio/index.html</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4728/3-days-intensive-course-on-understanding-omics-data-in-basel-switzerland-19-21st-november</guid>
  <pubDate>Mon, 23 Sep 2013 10:46:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[3 days intensive course on Understanding 'omics data in Basel, Switzerland, 19-21st November]]></title>
  <description><![CDATA[
<p>Benefits for the participants</p>

<p>- Plan more efficient experiments<br />- Correctly interpret results<br />- Communicate results in publications more effectively</p>

<p>The course focus is on methodologies, not on particular software tools. After the course participants should be able to apply the methods in their respective environment. However, during the course, hands-on sessions will be performed using the Genedata Expressionist® software, which enables participants to quickly apply the discussed methods and visualize results. No previous knowledge on Expressionist® is required; access to the software is free of charge during the course.</p>

<p>More @ http://www.dixa-fp7.eu/dixa-training/dixa-training-agenda/genedata-academy#!</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/43817/bioinfo-lab</guid>
  <pubDate>Fri, 04 Mar 2022 00:17:00 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinfo Lab]]></title>
  <description><![CDATA[
<p>The Institute of Bioinformatics conducts internationally renowned research and provides profound education in bioinformatics. Its research focuses on development and application of machine learning and statistical methods in biology and medicine.</p>

<p>Contact:<br />Computer Science Building (Science Park 3)<br />Altenberger Str. 69, A-4040 Linz, Austria<br />Tel. +43 732 2468 4520 / Fax +43 732 2468 4539<br />E-mail secretary@bioinf.jku.at</p>

<p>http://www.bioinf.jku.at/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44002/interesting-bioinformatics-resources</guid>
	<pubDate>Fri, 11 Nov 2022 06:30:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44002/interesting-bioinformatics-resources</link>
	<title><![CDATA[Interesting Bioinformatics Resources !]]></title>
	<description><![CDATA[<p>1. a reproducible workflow.&nbsp;<a href="https://www.youtube.com/watch?v=s3JldKoA0zw">https://www.youtube.com/watch?v=s3JldKoA0zw</a>&nbsp;This two minute video will change your mind on reproducible research&nbsp;</p><p>2. Parallel sequencing lives, or what makes large sequencing projects successful&nbsp;<a href="https://academic.oup.com/gigascience/article/6/11/gix100/4557140?login=false">https://academic.oup.com/gigascience/article/6/11/gix100/4557140?login=false</a></p><p>3. Common-sense approaches to sharing tabular data alongside publication&nbsp;<a href="https://www.sciencedirect.com/science/article/pii/S2666389921002300">https://www.sciencedirect.com/science/article/pii/S2666389921002300</a></p><p>4. A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker&nbsp;<a href="https://psyarxiv.com/8xzqy/">https://psyarxiv.com/8xzqy/</a></p><p>5. Practical Computational Reproducibility in the Life Sciences&nbsp;<a href="https://www.cell.com/cell-systems/fulltext/S2405-4712(18)30140-6">https://www.cell.com/cell-systems/fulltext/S2405-4712(18)30140-6</a></p><p>6. A video by Dr.Keith A. Baggerly from MD Anderson [The Importance of Reproducible Research in High-Throughput Biology](<a href="https://www.youtube.com/watch?v=7gYIs7uYbMo">https://www.youtube.com/watch?v=7gYIs7uYbMo</a>) highly recommended.</p><p>7. Ten Simple Rules for Reproducible Computational Research&nbsp;<a href="http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003285">http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003285</a>)</p><p>8. Good Enough Practices in Scientific Computing&nbsp;<a href="http://arxiv.org/abs/1609.00037">http://arxiv.org/abs/1609.00037</a>&nbsp;</p><p>9. Best Practices for Scientific Computing&nbsp;<a href="https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745">https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745</a></p><p>10. A Quick Guide to Organizing Computational Biology Projects&nbsp;<a href="http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.100042">http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.100042</a>&nbsp; A must read for computational biologists!</p><p>11. Reproducibility of computational workflows is automated using continuous analysis&nbsp;<a href="https://www.nature.com/articles/nbt.3780">https://www.nature.com/articles/nbt.3780</a></p><p>12. Five selfish reasons to work reproducibly&nbsp;<a href="https://genomebiology.biomedcentral.com/articles/10.1186/s13059-015-0850-7">https://genomebiology.biomedcentral.com/articles/10.1186/s13059-015-0850-7</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4947/experimental-scientific-officer-bioinformatics</guid>
  <pubDate>Fri, 27 Sep 2013 11:09:44 -0500</pubDate>
  <link></link>
  <title><![CDATA[Experimental Scientific Officer (Bioinformatics)]]></title>
  <description><![CDATA[
<p>Closing Date:  8 October 2013</p>

<p>Salary:   £27,854 - £29,541, with progression to £36,298</p>

<p>You will perform cutting edge computational biology within the Faculty of Medical Sciences, with a particular focus on the Northern Institute for Cancer Research (NICR), and contribute to the delivery of Faculty wide programmes of training, analytical services and skill transfer between Faculty Institutes.</p>

<p>You will have a relevant first degree or equivalent qualifications and/or experience in a relevant scientific/technical role, together with previous specialist experience at a senior level in bioinformatics. A PhD is desirable.</p>

<p>This position is part of the Bioinformatics Support Unit but physically located for the majority of the time in the NICR buildings.</p>

<p>Tenable for three years.</p>

<p>Informal enquiries to unit head Dr Simon Cockell: 0191 222 7253; simon.cockell@ncl.ac.uk</p>

<p>For more information visit @ https://www15.i-grasp.com/fe/tpl_newcastle02.asp?s=4A515F4E5A565B1A&amp;jobid=50667,2552984041&amp;key=70203469&amp;c=725434237887&amp;pagestamp=sepghtjhowdqpsxuyn</p>

<p>You can also find several other jobs @http://bsu.ncl.ac.uk/support/recruitment/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44294/opportunity-at-mcdermott-center-bioinformatics-lab</guid>
  <pubDate>Sat, 01 Apr 2023 09:56:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Opportunity at McDermott Center Bioinformatics Lab]]></title>
  <description><![CDATA[
<p>Our team, composed of experts from diverse backgrounds including genetics, cancer biology, computer science, bioinformatics, and microbiology, stays current with evolving bioinformatics techniques. We offer consulting, customized service, and collaboration opportunities. We suggest visiting us to discuss your experiment design and results, as we can tailor our assistance to meet your specific research goals.</p>

<p>https://labs.utsouthwestern.edu/bioinformatics-lab/positions</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44624/bioinformatics-workshops</guid>
	<pubDate>Wed, 31 Jul 2024 02:16:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44624/bioinformatics-workshops</link>
	<title><![CDATA[Bioinformatics Workshops !]]></title>
	<description><![CDATA[<p>When delving into bioinformatics, having access to reliable resources is crucial for effective research and analysis. Key online resources include the National Center for Biotechnology Information (NCBI), which offers tools like BLAST for sequence alignment and comprehensive gene databases. For presentations and educational materials, exploring SlideShare for introductory and advanced bioinformatics topics can provide valuable insights and learning aids.</p>
<p>https://evomics.org/2024-workshop-on-genomics/</p><p>Address of the bookmark: <a href="https://evomics.org/2024-workshop-on-genomics/" rel="nofollow">https://evomics.org/2024-workshop-on-genomics/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44669/bioinformatician-at-qub-uk</guid>
  <pubDate>Tue, 01 Oct 2024 21:43:23 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatician at QUB, UK]]></title>
  <description><![CDATA[
<p>The post-holder will work under the direction of the Precision Medicine Centre of Excellence's (PMC) Bioinformatics lead and collaborate closely with the Scientific and Clinical leads. The primary responsibilities will be to develop, validate and maintain data analysis pipelines and algorithms that enable the comprehensive analysis of genomic information derived from cancer specimens, within the context of clinical studies. The PMC is an ISO 15189:2012 accredited medical laboratory (Ref 20634), providing an integrated cancer diagnostic and clinical research service that combines high throughput genomics and digital pathology (www.qub.ac.uk/research-centres/PMC).</p>

<p>About the person:</p>

<p>Essential criteria:</p>

<p>Hold or be about to obtain* a PhD in Computational biology, Bioinformatics, computing science or related subjects. (*must be obtained within 3 months of the closing date for the post) or MSc equivalent with at least 3 years' work experience in a relevant role.<br />Significant relevant research experience in genomics or work experience in a relevant technical/scientific role.<br />Significant experience in managing and analysing NGS data and other big data.<br />Experience in developing and maintaining analysis pipelines.<br />Experience working with Linux/UNIX environments.<br />Proficiency with python, bash, R and/or equivalent languages.<br />To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document linked on our website.</p>

<p>More at https://hrwebapp.qub.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44702/postdoc-in-comparative-single-cell-genomics-at-university-of-basel</guid>
  <pubDate>Fri, 06 Dec 2024 23:41:20 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoc in Comparative Single Cell Genomics at University of Basel]]></title>
  <description><![CDATA[
<p>A fully funded 4-year Postdoc position is available in the lab of Patrick<br />Tschopp at the University of Basel, Switzerland, study the molecular and<br />tissue-scale dynamics during the embryonic formation of the vertebrate<br />skeleton and compare it across different vertebrate species with distinct<br />habitats.</p>

<p>We are looking for a highly motivated candidate with a PhD degree in<br />Bioinformatics or a related field. Candidates are expected to have a<br />strong background in evolutionary biology and/or comparative functional<br />genomics. Additional experiences in single cell functional genomics<br />analyses, statistics and computational data analyses are a plus, as is<br />an interest in comparative developmental (EvoDevo) questions.</p>

<p>We offer a dynamic and interactive research environment with state-of-the<br />art research facilities, good research funding and internationally<br />competitive salaries.</p>

<p>The Tschopp lab (www.evolution.unibas.ch/tschopp/research/)<br />studies the gene regulatory mechanisms of cell type<br />specification and evolution in vertebrates. See also our<br />preprints at https://doi.org/10.1101/2024.03.26.586769 and<br />https://doi.org/10.1101/2024.11.28.625862 Applications should include<br />a motivation letter, a CV, a list of publications, a statement about<br />research interests, as well as the names and contact details of at<br />least two referees. Applications (in the form of a single .pdf file)<br />should be sent to Patrick Tschopp (patrick.tschopp@unibas.ch); review<br />of applications will begin on January 1st 2025, and will continue until<br />the position is filled.</p>

<p>Patrick Tschopp</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/5663/network-analysis-indian-statistical-institute</guid>
  <pubDate>Wed, 16 Oct 2013 08:06:50 -0500</pubDate>
  <link></link>
  <title><![CDATA[Network Analysis @ Indian Statistical Institute]]></title>
  <description><![CDATA[
<p>Indian Statistical Institute Kolkata invites applications for the following posts</p>

<p>2013 Oct Advertisement from Indian Statistical Institute</p>

<p>Post: Network Analysis</p>

<p>No. of Positions:  01</p>

<p>Educational Qualifications:</p>

<p>Candidate should have passed BE/B.Tech Or Equivalent in Computer Science / Electrical Engineering / Electronics / Information Technology / Bioinformatics / Biotechnology with throughout first Class<br />Experience:</p>

<p>(details of experience required)<br />Pay Scale: INR Rs.16000-20000/-P.M.</p>

<p>Walk-In-Interview : 22 Oct 2013 at 10:30 AM</p>

<p>Download Official Notification:<br />http://www.isical.ac.in/JobApplicationFiles/MIU_0310201311433700.pdf</p>
]]></description>
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