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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/35257?offset=790</link>
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	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/19732/marine-bioinformatician</guid>
	<pubDate>Wed, 24 Dec 2014 05:17:27 -0600</pubDate>
	<link>https://bioinformaticsonline.com/file/view/19732/marine-bioinformatician</link>
	<title><![CDATA[Marine bioinformatician ;)]]></title>
	<description><![CDATA[<p>A marine bioinformatician at work. Sorry&nbsp;jealous biotechnologist, this is how we work.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/19732" length="35550" type="image/gif" />
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/14215/the-8000-years-old-tibetian-gene-mutation</guid>
	<pubDate>Wed, 20 Aug 2014 21:57:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/14215/the-8000-years-old-tibetian-gene-mutation</link>
	<title><![CDATA[The 8000 years old Tibetian gene mutation !!!]]></title>
	<description><![CDATA[<p>A new study has provided insight into how gene mutation around 8,000 years ago helped Tibetans' to survive in the thin air on the Tibetan Plateau, where an average elevation is of 14,800 feet.<br /><br />A study led by University of Utah scientists is the first to find a genetic cause for the adaptation, a single DNA base pair change that dates back 8,000 years and demonstrate how it contributes to the Tibetans' ability to live in low oxygen conditions.</p><p>About 8,000 years ago, the gene EGLN1 changed by a single DNA base pair. Today, a relatively short time later on the scale of human history, 88 percent of Tibetans have the genetic variation, and it was virtually absent from closely related lowland Asians. The findings indicate the genetic variation endows its carriers with an advantage.<br /><br />In those without the adaptation, low oxygen caused their blood to become thick with oxygen-carrying red blood cells, an attempt to feed starved tissues, which could cause long-term complications such as heart failure. The researchers found that the newly identified genetic variation protected Tibetans by decreasing the over-response to low oxygen.</p><p>Reference: http://www.nature.com/nature/journal/v512/n7513/abs/nature13408.html</p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/36647/bioinformatics-jobs-at-nibmg</guid>
  <pubDate>Wed, 16 May 2018 02:57:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics jobs at NIBMG]]></title>
  <description><![CDATA[
<p>NIBMG are looking for bright and motivated people in our big projects on cutting edge biomedical genomics research</p>

<p>http://www.nibmg.ac.in/academic/SyMeC-ICGC/SyMeC%20&amp;%20ICGC_May%202018.pdf</p>

<p>http://www.nibmg.ac.in/academic/plp/15_05_2018/AdvertisementMay2018.pdf</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/40577/computational-biology-summer-research-programme</guid>
  <pubDate>Mon, 20 Jan 2020 23:38:44 -0600</pubDate>
  <link></link>
  <title><![CDATA[Computational Biology Summer Research Programme]]></title>
  <description><![CDATA[
<p>IMSc has a limited programme for highly motivated bachelors and masters students interested in research in the areas of Theoretical Physics, Mathematics, Theoretical Computer Science and Computational Biology to visit the Institute over their summer vacation. In addition, IMSc also accepts students through the summer program organized by the joint Indian Academies of Science.<br />General Structure<br />This is a limited programme, depending on the availability of infrastructure and faculty advisors. We typically select about 25 students across disciplines although this number varies a bit from year to year. These visits typically span 6-8 weeks during the summer (May-July). There is also a provision for a 4-6 month visit, typically during January-April or August-November for extended project work.</p>

<p>Qualifications<br />Students currently in their pre-final or final year of BSc/BE/BTech or first year MSc/ME/MTech or equivalent with a good academic record are encouraged to apply through IMSc's formal application process.</p>

<p>To apply through the summer program jointly organized by the Academies of Science, please check the Indian Academy of Sciences for their application process: http://web-japps.ias.ac.in:8080/fellowship2018/index.html.<br />Stipend<br />Selected students will be paid 2nd class round trip train fare plus Rs.200 per diem. Accommodation will be provided in the hostel during summer, subject to availability. Since our ability to provide accomodation is often limited, we suggest that students also explore alternative possibilities for stay in Chennai. Accommodation will not be provided for longer visits.</p>

<p>Application Process<br />To apply for our summer programs please follow the instructions for the respective fields:<br />Theoretical Physics<br />Mathematics<br />Theoretical Computer Science<br />Computational Biology</p>

<p>Other information<br />If you have more questions about our application procedures, about your eligibility or simply about life and work at IMSc, do write to any of the faculty members listed on our home page.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/13025/the-5-reasons-to-mistakes-at-bioinformatics-work</guid>
	<pubDate>Thu, 24 Jul 2014 02:51:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/13025/the-5-reasons-to-mistakes-at-bioinformatics-work</link>
	<title><![CDATA[The 5 reasons to mistakes at bioinformatics work !!!]]></title>
	<description><![CDATA[<p>When you're just starting out with biological programming, it's easy to run into complex problems that make you wonder how anyone has ever managed to write a program. There are some problems that trip up nearly every bioinformatician--everything from getting started understanding the biological problems to dealing with program design. Some random mistakes are so prominent that even experienced biological programmers do it. The 8 years in bioinformatics and my few random observations, most of them are snarky. These reasons will always take longer than expected and compel you to postpone your project deadline.</p><p><strong>1.Stupid for biologist:</strong> Biology is so complex that it will make bioinformatician feel stupid. There are no any universal fixed rules; it can surprise you any time. So be nice to biologists who ask questions and resolve your biological puzzles. Sometime you will have no idea what the hell you were doing either.<br /><br /><strong>2.Puzzling why:</strong> Do not hesitate to ask question. Especially. at the beginning of project you will have to ask a lot of questions. Instead of puzzling it out at end check out and clear your doubt even for a single error. It may can leads to wrong conclusion.<br /><br /><strong>3.Running marathon:</strong> The most of the biological software&rsquo;s documentation is always incomplete. In other word they are no more than 95 percent complete. Sometime a single problem can halt your entire project for months. Compilation and running the pipelines in tedious because almost all are interdependent and need proper configuration. I face the same kind of problem with Evolver :( &hellip; <br /><br /><strong>4.Folders missing:</strong> The pipelines generate lots of data, and we keep them in several folders for future use. But sometime we delete them by mistake and move to recovery&hellip;<br /><br /><strong>5.Digging deeper:</strong> Digging deeper is fruitful, but some time it can be catastrophic. You may get frustrated or direction less. So keep a biologist with you for rescue &hellip;. Sometime an expert computer programmer to handle your server. Remember, the server will always go down when you need it the most.<br /><br />The most common frustrating&nbsp; common line: Why do we do this again?</p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44756/phd-hunt-your-gateway-to-nordic-academic-opportunities</guid>
	<pubDate>Thu, 02 Jan 2025 19:55:22 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44756/phd-hunt-your-gateway-to-nordic-academic-opportunities</link>
	<title><![CDATA[PhD Hunt: Your Gateway to Nordic Academic Opportunities]]></title>
	<description><![CDATA[<p>Embarking on a PhD journey is a transformative step in academia. To ease this transition, we brings you a curated list of top resources and institutions across Denmark, Sweden, Norway, and Finland. These links will guide you through finding opportunities and navigating the academic landscape in the Nordic region.</p><p><strong>PhD Opportunities in Denmark Denmark boasts a robust academic infrastructure with world-class universities. Here are some essential resources:</strong></p><p>Study in Denmark: <a>https://studyindenmark.dk</a></p><p>Aarhus University: <a>https://phd.au.dk</a></p><p>Euraxess Denmark: <a>https://euraxess.dk</a></p><p>Technical University of Denmark (DTU): <a>https://dtu.dk</a></p><p>University of Copenhagen: <a>https://phd.ku.dk</a></p><p>Copenhagen Business School: <a>https://cbs.dk</a></p><p>Jobindex: <a>https://jobindex.dk</a></p><p>Roskilde University: <a>https://ruc.dk</a></p><p>University of Southern Denmark: <a>https://sdu.dk</a></p><p>Academic Positions Denmark: <a>https://academicpositions.dk</a></p><p><strong>PhD Opportunities in Sweden Sweden is renowned for its innovation-driven academic culture. Here&rsquo;s where you can find opportunities:</strong></p><p>FindAPhD Sweden: <a>https://findaphd.com/phds/sweden</a></p><p>Euraxess Sweden: <a>https://euraxess.se</a></p><p>Academic Positions Sweden: <a>https://academicpositions.se</a></p><p>KTH Royal Institute of Technology: <a>https://kth.se</a></p><p>Lund University: <a>https://lu.se</a></p><p>Uppsala University: <a>https://uu.se</a></p><p>Chalmers University of Technology: <a>https://chalmers.se</a></p><p>Link&ouml;ping University: <a>https://liu.se</a></p><p>Stockholm University: <a>https://su.se</a></p><p>Swedish University of Agricultural Sciences (SLU): <a>https://slu.se</a></p><p>Study in Sweden: <a>https://studyinsweden.se</a></p><p>Malm&ouml; University: <a>https://mau.se</a></p><p><strong>PhD Opportunities in Norway Norway offers unique research opportunities, complemented by its stunning natural landscapes:</strong></p><p>JobbNorge: <a>https://jobbnorge.no</a></p><p>Euraxess Norway: <a>https://euraxess.no</a></p><p>University of Oslo: <a>https://uio.no</a></p><p>Norwegian University of Science and Technology (NTNU): <a>https://ntnu.edu</a></p><p>Norwegian Business School (BI): <a>https://bi.edu</a></p><p>Norwegian School of Economics: <a>https://nhh.no</a></p><p>Norwegian University of Life Sciences (NMBU): <a>https://nmbu.no</a></p><p>Norwegian School of Sport Sciences: <a>https://nih.no</a></p><p>University of Bergen: <a>https://uib.no</a></p><p>Nord University: <a>https://nord.no</a></p><p>UiT The Arctic University of Norway: <a>https://uit.no</a></p><p><strong>PhD Opportunities in Finland Finland&rsquo;s education system emphasizes research excellence and innovation. Explore these resources</strong>:</p><p>FindAPhD Finland: <a>https://findaphd.com/phds/finland</a></p><p>Euraxess Finland: <a>https://euraxess.fi</a></p><p>University of Helsinki: <a>https://helsinki.fi</a></p><p>Aalto University: <a>https://aalto.fi</a></p><p>University of Turku: <a>https://utu.fi</a></p><p>Tampere University: <a>https://tuni.fi</a></p><p>University of Eastern Finland: <a>https://uef.fi</a></p><p>University of Jyv&auml;skyl&auml;: <a>https://jyu.fi</a></p><p>&Aring;bo Akademi University: <a>https://abo.fi</a></p><p>Hanken School of Economics: <a>https://hanken.fi</a></p><p>LUT University: <a>https://lut.fi</a></p><p>Conclusion The Nordic countries offer exceptional opportunities for PhD aspirants. From top-ranked universities to specialized research institutions, the possibilities are endless. Bookmark PhD Hut as your starting point, and let these resources guide you to your academic aspirations.</p>]]></description>
	<dc:creator>LEGE</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40832/biocoder-newsletter-of-that-revolution-it%E2%80%99s-about-biology-as-it-moves-from-research-labs-into-startup-incubators-hacker-spaces-and-even-homes</guid>
	<pubDate>Sun, 02 Feb 2020 07:43:52 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40832/biocoder-newsletter-of-that-revolution-it%E2%80%99s-about-biology-as-it-moves-from-research-labs-into-startup-incubators-hacker-spaces-and-even-homes</link>
	<title><![CDATA[BioCoder : newsletter of that revolution. It’s about biology as it moves from research labs into startup incubators, hacker spaces, and even homes]]></title>
	<description><![CDATA[<div>
<h3>BioCoder features:</h3>
<ul>
<li>Novel therapeutic discovery strategies</li>
<li>Hardware such as low-cost lab equipment or diagnostics</li>
<li>Open or low&shy;-cost bioinformatics tools</li>
<li>Engineered organisms for the production of small molecules, biologics, or other products</li>
<li>Research projects at a community labspace or projects for science education or public engagement</li>
<li>Hardware or software for lab automation</li>
<li>Citizen science or DIY research projects</li>
<li>Science policy</li>
<li>Tools to increase reproducibility in research, or anything related</li>
</ul>
</div><p>Address of the bookmark: <a href="https://www.oreilly.com/biocoder/" rel="nofollow">https://www.oreilly.com/biocoder/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/13523/megadock-40</guid>
	<pubDate>Thu, 07 Aug 2014 18:08:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/13523/megadock-40</link>
	<title><![CDATA[MEGADOCK 4.0]]></title>
	<description><![CDATA[<p>An ultra&ndash;high-performance protein&ndash;protein docking software for heterogeneous supercomputers</p>
<p id="p-4"><strong>Summary:</strong> The application of protein&ndash;protein docking in large-scale interactome analysis is a major challenge in structural bioinformatics and requires huge computing resources. In this work, we present MEGADOCK 4.0, an FFT-based docking software that makes extensive use of recent heterogeneous supercomputers and shows powerful, scalable performance of over 97% strong scaling.</p>
<p id="p-5"><strong>Availability and Implementation:</strong> MEGADOCK 4.0 is written in C++ with OpenMPI and NVIDIA CUDA 5.0 (or later) and is freely available to all academic and non-profit users at: <a href="http://www.bi.cs.titech.ac.jp/megadock">http://www.bi.cs.titech.ac.jp/megadock</a>.</p>
<p id="p-6"><strong>Contact:</strong> <a href="mailto:akiyama@cs.titech.ac.jp">akiyama@cs.titech.ac.jp</a></p><p>Address of the bookmark: <a href="http://bioinformatics.oxfordjournals.org/content/early/2014/08/06/bioinformatics.btu532.short" rel="nofollow">http://bioinformatics.oxfordjournals.org/content/early/2014/08/06/bioinformatics.btu532.short</a></p>]]></description>
	<dc:creator>Suleman Khan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/14024/grapher</guid>
	<pubDate>Thu, 14 Aug 2014 14:02:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/14024/grapher</link>
	<title><![CDATA[GrapheR !!!]]></title>
	<description><![CDATA[<p>What a wonderful gem <em>GrapheR</em> is.... Oh yes it is. <em>GrapheR</em> is a GUI for base graphics in R by http://www.maximeherve.com/. The package provides a graphical user interface for creating base charts in R. It is ideal for beginners in R, as the user interface is very clear and the code is written along side into a text file, allowing users to recreate the charts directly in the console. <br /><br />Adding and changing legends? Messing around with the plotting window settings? It is much easier/quicker with this GUI than reading the help file and trying to understand the various parameters.<br />Here is a little example using the iris data set.<br /><br />library(GrapheR)<br />data(iris)<br />run.GrapheR()<br /><br />This will bring up a window that helps me to create the chart and tweak the various parameters.</p><p><img src="http://4.bp.blogspot.com/-NbnCM1dPh3E/U9aW9YxJ9oI/AAAAAAAABgo/gEPzPhOpf2Y/s1600/GrapheR.png" alt="image" width="878" height="868" style="border: 0px; border: 0px;"><br /><br />Finally, I find the underlying R code in a file created by <em>GrapheR</em>. For more details read also the <a href="http://cran.r-project.org/web/packages/GrapheR/index.html" target="_blank">package vignette</a>, which is available in <a href="http://cran.r-project.org/web/packages/GrapheR/vignettes/manual_en.pdf" target="_blank">English</a>, <a href="http://cran.r-project.org/web/packages/GrapheR/vignettes/manual_fr.pdf" target="_blank">French</a> and <a href="http://cran.r-project.org/web/packages/GrapheR/vignettes/manual_de.pdf" target="_blank">German</a>!</p>]]></description>
	<dc:creator>John Parker</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/14186/pybedtools</guid>
	<pubDate>Wed, 20 Aug 2014 01:03:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/14186/pybedtools</link>
	<title><![CDATA[pybedtools]]></title>
	<description><![CDATA[<p>pybedtools is a Python wrapper for Aaron Quinlan's BEDtools programs (https://github.com/arq5x/bedtools), which are widely used for genomic interval manipulation or "genome algebra". pybedtools extends BEDTools by offering feature-level manipulations from with Python. See full online documentation, including installation instructions, at http://pythonhosted.org/pybedtools/.</p><p>More at http://pythonhosted.org/pybedtools/</p><p>A powerful toolset for genome arithmetic.http://code.google.com/p/bedtools/</p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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