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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31207?offset=650</link>
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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/opportunity/view/43262/bioinformatics-research-scientist-oklahoma-state-university-osu</guid>
  <pubDate>Tue, 17 Aug 2021 13:24:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Research Scientist @ Oklahoma State University (OSU)]]></title>
  <description><![CDATA[
<p>This position is an early career research scientist in the area of Bioinformatics to support research projects involving faculty and staff, at Oklahoma State University (OSU). This is a highly technical position that requires a strong research background in biomedical or life sciences, including a high level of expertise with bioinformatics algorithms, databases, and analyses with a focus on next-generation sequence data. Although most of the projects will deal directly with the analysis of DNA and RNA sequence data the individual should be well versed in other types of data sources as well (i.e., microarrays) and handling of large datasets (using data analytics, machine learning, and deep learning techniques). </p>

<p>More at https://okstate.csod.com/ats/careersite/JobDetails.aspx?site=8&amp;id=9874</p>
]]></description>
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	<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/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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4409/huber-lab</guid>
  <pubDate>Mon, 09 Sep 2013 21:57:03 -0500</pubDate>
  <link></link>
  <title><![CDATA[Huber Lab]]></title>
  <description><![CDATA[
<p>The Huber group develops computational and statistical methods to design and analyse novel experimental approaches in genetics and cell biology. </p>

<p>Future projects and goals</p>

<p>Large-scale systematic maps of gene-gene and gene-environment interactions by automated phenotyping, using image analysis, machine learning, sparse model building and causal inference.<br />DNA-, RNA- and ChIP-Seq and their applications to gene expression regulation: statistical and computational foundations.<br />Cancer genomics, genomes as biomarkers, cancer phylogeny.<br />Image analysis for systems biology: measuring the dynamics of cell cycle and of cell migration of individual cells under normal conditions and many different perturbations (RNAi, drugs).</p>

<p>More @ http://www.embl.de/research/units/genome_biology/huber/index.html</p>
]]></description>
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  <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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4456/asst-prof-in-bioinformatics-at-jaipur-national-university</guid>
  <pubDate>Thu, 12 Sep 2013 07:18:02 -0500</pubDate>
  <link></link>
  <title><![CDATA[Asst. PROF IN BIOINFORMATICS at JAIPUR NATIONAL UNIVERSITY]]></title>
  <description><![CDATA[
<p>JAIPUR NATIONAL UNIVERSITY, SCHOOL OF LIFE SCIENCES (SIILAS CAMPUS) URGENTLY REQUIRES</p>

<p>Asst. PROF IN BIOINFORMATICS.</p>

<p>QUALIFICATION: AS PER UGC</p>

<p>DESIRABLE: 1 YEAR EXPERIENCE IN ACADEMICS</p>

<p>CONTACT immediately</p>

<p>Prof D.S.Bhatia<br />Director<br />9351288070</p>

<p>Last date within 7 days of the publication.</p>

<p>Find more @ http://jnujaipur.ac.in/downloads/AdvtDec2012.jpg</p>
]]></description>
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<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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/6715/research-associate-school-of-computational-and-integrative-sciences-under-jawaharlal-nehru-university</guid>
  <pubDate>Fri, 22 Nov 2013 19:06:44 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Associate@ School of Computational and Integrative Sciences under Jawaharlal Nehru University]]></title>
  <description><![CDATA[
<p>School of Computational and Integrative Sciences under Jawaharlal Nehru University, New Delhi invited applications for filling up 4 posts of Research Associates (RA) and Junior Research Fellow (JRF) (2 posts each)  purely on temporary basis, liable to be terminated at any time without prior notice or ceased/withdrawn by the funding agency. The vacancies are for a Department of Biotechnology, Government of India funded project entitled "Computational Core for Plant Metabolomics" (Project ID: 632) being administered by Prof Indira Ghosh. Interested candidates should send their applications till 13 December 2013.<br />Important Dates<br />Last Date for receipt of applications: 13 December 2013<br />Vacancy Details<br />Total Vacancies: 4 posts<br />Type of recruitment: Temporary<br />Sl. No.: 01<br />Name of the Post: Research Associate<br />No of Posts: 1 post<br />Remuneration: Rs.  23000 + 30%<br />Qualifications: PhD in Bioinformatics / computational biology / Biophysics / Physical Chemistry / Computer Science. Computational experience, proven by paper published, is a necessary qualification.<br /> Sl. No.: 02<br />Name of the Post: Research Associate<br />No of Posts: 1 post<br />Remuneration: Rs. 23000 + 30%<br />Qualifications: PhD in Computational Biology / Bioinformatics &amp; related subjects. Computational experience, proven by paper published, is a necessary qualification.<br />Sl. No.: 03<br />Name of the Post: Junior Research Fellow<br />No of Posts: 1 post<br />Remuneration: Rs. 12000 + 30%<br />Qualifications: M. Sc. / B. Tech. preferably in Computational Biology /Bioinformatics and related fields with experience in Website designing &amp; maintenance of Database.<br />Sl. No.: 04<br />Name of the Post: Junior Research Fellow<br />No of Posts: 1 post<br />Remuneration: Rs.  12000 + 30%<br />Qualifications: M. Sc. / MCA / B. Tech. preferably in Computational Biology / Computer science with experience in Programming in Java / Python, C++ etc &amp; designing of Database.<br />Selection Procedure: Selection will be done on the basis of candidates’ performance in the Interview.  <br />Candidates short-listed / selected for Interview will be informed through email only.<br />How to Apply: Interested eligible candidates should send their applications, in the prescribed format, along with their current CV by post to “Prof Indira Ghosh, Project Investigator,  Hall#6, School of Computational and Integrative Sciences,  Jawaharlal Nehru University,  New Delhi-110 067” so as to reach the concerned authority by 13 December 2013.<br />Name of the post applied for’ must be superscripted on the envelope containing the application.<br />NOTE: For the post of Research Associates, only those candidates who have submitted thesis are eligible to apply. However, salary will be provided as per DBT / DST guidelines (i.e. candidates who have qualified NET /BET / BINC will have higher pay scale).<br />Candidates interested to register for PhD may not apply for JRF.<br />More @ http://www.jnu.ac.in/Career/currentjobs.htm</p>
]]></description>
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  <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>
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