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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/18381?offset=900</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/35422/postdoc-at-jaypee-institute-of-information-technology-jiit-noida-department-of-biotechnology</guid>
  <pubDate>Fri, 02 Feb 2018 11:13:25 -0600</pubDate>
  <link></link>
  <title><![CDATA[PostDoc at Jaypee Institute of Information Technology (JIIT), Noida Department of Biotechnology]]></title>
  <description><![CDATA[
<p>Lab of Dr. Rawal is supported by generous grants to build advanced applications in emerging areas of cancer genomics, network sciences, vaccine development and epidemiology. The lab has dedicated high end Xeon servers, desktops, &amp; laptops for research purpose. Currently, there are several researchers (JRFs, B. Techs, M. Tech and PhDs) working on several challenging bioinformatics projects. In addition, Dr. Rawal has collaborations with reputed national and international research teams.</p>

<p>Dr. Rawal and his US based collaborators have recently secured grant for development of vaccine against an infectious disease agent. For this project, applications are invited for the posts of Post Doctoral Fellow/Research Scientist (One Position) for the following time-bound sponsored projects as per the details given below:</p>

<p>PI: Dr. Kamal Rawal, Biotechnology Department, JIIT, Noida.</p>

<p>Essential Qualification(s) for Post Doctoral Fellow/ Research Scientist:</p>

<p>We are seeking an individual with expertise in analyzing literature information, text mining, network biology, data integration, and modeling. Competitive candidates would also have programming experience in scripting languages with perl, C, C++, and R programming. This position requires a PhD in Computational Biology, Bioinformatics, Biostatistics, Physics or related fields, and evidence of scientific productivity through publications in international journals. Motivation to gain an in-depth understanding of biological phenomena is required. Applications should include a current CV and names of at least three references. Application packages and inquiries regarding this position can be sent to Dr. Kamal Rawal (bioinfocvatgmaildotcom and kamaldotrawalatgmaildotcom). Screening of applications will commence immediately and the position will remain open until filled. Candidates having master’s degree with extensive experience in IT industry or research can also be considered for this post.</p>

<p>Salary: Rs 50000 per month.</p>

<p>Duration: 2 years or upto the project duration.</p>

<p>Number of position: 1</p>

<p>Candidate may also fill the following form:</p>

<p>https://docs.google.com/…/1FAIpQLSdZoZ21ZoNRStEeL5…/viewform</p>

<p>http://tinyurl.com/bioinfocv2017</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/36603/learning-python-programming-a-bioinformatician-perspective</guid>
	<pubDate>Mon, 14 May 2018 16:33:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/36603/learning-python-programming-a-bioinformatician-perspective</link>
	<title><![CDATA[Learning Python Programming - a bioinformatician perspective !]]></title>
	<description><![CDATA[<p>Python Programming&nbsp;is a general purpose programming language that is open source, flexible, powerful and easy to use. One of the most important features of python is its rich set of utilities and libraries for data processing and analytics tasks. In the current era of big biological data, python and biopython is getting more popularity due to its easy-to-use features which supports big data processing.</p><p>In this tutorial series article, I will explore features and packages of python which are widely used in the big data, NGS, and bioinformatics. I will also walk through a real biological example which shows NGS data processing with the help of python packages and programming.</p><p>Python has a couple of points to recommend it to biologists and scientists specifically:</p><ul>
<li>It's widely used in the scientific community</li>
<li>It has a couple of very well designed libraries for doing complex scientific computing (although we won't encounter them in this book)</li>
<li>It lend itself well to being integrated with other, existing tools</li>
<li>It has features which make it easy to manipulate strings of characters (for example, strings of DNA bases and protein amino acid residues, which we as biologists are particularly fond of)</li>
</ul><p>In general, following are some of the important features of python which makes it a perfect fit for rapid application development.</p><ul>
<li>Python is interpreted language so the program does not need to be compiled. Interpreter parses the program code and generates the output.</li>
<li>Python is dynamically typed, so the variables types are defined automatically.</li>
<li>Python is strongly typed. So the developers need to cast the type manually.</li>
<li>Less code and more use makes it more acceptable.</li>
<li>Python is portable, extendable and scalable.</li>
</ul><p>There are two major Python versions, Python 2 and Python 3. Python 2 and 3 are quite different. This tutorial uses Python 3, because it more semantically correct and supports newer features.</p><p>I will post tutorial on daily basis on this page. Check the sub-pages on right side.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39370/multiphate-bioinformatics-pipeline-for-functional-annotation-of-phage-isolates</guid>
	<pubDate>Thu, 16 May 2019 00:17:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39370/multiphate-bioinformatics-pipeline-for-functional-annotation-of-phage-isolates</link>
	<title><![CDATA[multiPhATE: bioinformatics pipeline for functional annotation of phage isolates]]></title>
	<description><![CDATA[<p><span>multiple-genome Phage Annotation Toolkit and Evaluator (multiPhATE). multiPhATE is a throughput pipeline driver that invokes an annotation pipeline (PhATE) across a user-specified set of phage genomes. This tool incorporates a&nbsp;</span><em>de novo</em><span>&nbsp;phage gene-calling algorithm and assigns putative functions to gene calls using protein-, virus-, and phage-centric databases.&nbsp;</span></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/carolzhou/multiPhATE" rel="nofollow">https://github.com/carolzhou/multiPhATE</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40272/seq-a-high-performance-pythonic-language-for-bioinformatics</guid>
	<pubDate>Sat, 23 Nov 2019 08:58:12 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40272/seq-a-high-performance-pythonic-language-for-bioinformatics</link>
	<title><![CDATA[Seq: A high-performance, Pythonic language for bioinformatics]]></title>
	<description><![CDATA[<p>&nbsp;</p>
<p>Seq is a programming language for computational genomics and bioinformatics. With a Python-compatible syntax and a host of domain-specific features and optimizations, Seq makes writing high-performance genomics software as easy as writing Python code, and achieves performance comparable to (and in many cases better than) C/C++.</p>
<p>Learn more by following the&nbsp;<a href="https://github.com/seq-lang/seq/blob/master/docs/sphinx/tutorial.rst">tutorial</a>&nbsp;or from the&nbsp;<a href="https://github.com/seq-lang/seq/blob/master/docs/sphinx/cookbook.rst">cookbook</a>.</p><p>Address of the bookmark: <a href="https://seq-lang.org" rel="nofollow">https://seq-lang.org</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40959/bioinformatics-related-group</guid>
	<pubDate>Sun, 09 Feb 2020 03:17:16 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40959/bioinformatics-related-group</link>
	<title><![CDATA[Bioinformatics related group]]></title>
	<description><![CDATA[<p>FaBI emerged from the respective groups of the four founding societies GI (German Informatics Society), DECHEMA (Society for Chemical Engineering and Biotechnology), GBM (Society for Biochemistry and Molecular Biology) and GDCh (German Chemical Society). In fall 2015, the GMDS (German Society for Medical Informatics, Biometry, and Epidemiology) joined FaBI. FaBI represents more than 750 members today and considers itself as a joint representation of interests of bioinformatics research in Germany and as an interlocutor for politics, economy, and society aiming at a strong informatics-based life science research.</p><p>Address of the bookmark: <a href="https://bioinformatik.de/en/bioinformatics-in-germany/research/research-groups.html" rel="nofollow">https://bioinformatik.de/en/bioinformatics-in-germany/research/research-groups.html</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42158/rgcb-recruitment-notification-for-bioinformatician</guid>
  <pubDate>Tue, 25 Aug 2020 00:25:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[RGCB recruitment notification for bioinformatician !]]></title>
  <description><![CDATA[
<p>RGCB Jobs 2020: RGCB released the recruitment notification to hire the candidates who completed B.Tech, M.Sc for 01 Bioinformatician Posts. The eligible candidates can apply for the post through online from 22-08-2020 to 08-09-2020. These selected candidates will be placed as Bioinformatician in Kerala. To know more details such as salary (pay scale), age limit, application fee, application process and more for RGCB recruitment 2020 by clicking apply button.<br />Organization Name : Rajiv Gandhi Centre for Biotechnology<br />Post Name : Bioinformatician<br />No of Vacancy : 01 Posts<br />Salary : Rs.22,000 (Per Month)<br />Last Date to Apply : 08-09-2020</p>

<p>More at https://rgcb.res.in/jobs.php</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42468/applied-computational-genomics-course-at-uu-spring-2020</guid>
	<pubDate>Wed, 23 Dec 2020 03:30:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42468/applied-computational-genomics-course-at-uu-spring-2020</link>
	<title><![CDATA[Applied Computational Genomics Course at UU: Spring 2020]]></title>
	<description><![CDATA[<p><span>This course will provide a comprehensive introduction to fundamental concepts and experimental approaches in the analysis and interpretation of experimental genomics data. It will be structured as a series of lectures covering key concepts and analytical strategies. A diverse range of biological questions enabled by modern DNA sequencing technologies will be explored including sequence alignment, the identification of genetic variation, structural variation, and ChIP-seq and RNA-seq analysis. Students will learn and apply the fundamental data formats and analysis strategies that underlie computational genomics research.<span>&nbsp;</span></span><strong>The primary goal of the course is for students to be grounded in theory and leave the course empowered to conduct independent genomic analyses.</strong></p><p>Address of the bookmark: <a href="https://github.com/quinlan-lab/applied-computational-genomics" rel="nofollow">https://github.com/quinlan-lab/applied-computational-genomics</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42793/fully-funded-position-as-phd-research-fellow-in-genomicsbioinformatics</guid>
  <pubDate>Wed, 03 Feb 2021 04:18:57 -0600</pubDate>
  <link></link>
  <title><![CDATA[Fully funded position as PhD Research Fellow in genomics/bioinformatics]]></title>
  <description><![CDATA[
<p>A fully funded position as PhD Research Fellow in genomics/bioinformatics is available at the Section for Genetics and Evolutionary Biology (EVOGENE) at the Department of Biosciences, University of Oslo.</p>

<p>The fellowship will be for a period of 3 years, or for a period of 4 years, with 25 % compulsory work (e.g. teaching responsibilities at the department) contingent on the qualifications of the candidate and the teaching needs of the department.</p>

<p>Starting date no later than October 1, 2021.</p>

<p>More at https://www.jobbnorge.no/en/available-jobs/job/199984/phd-research-fellow-in-genomics-and-bioinformatics</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/9868/raghavas-group</guid>
  <pubDate>Tue, 15 Apr 2014 23:59:48 -0500</pubDate>
  <link></link>
  <title><![CDATA[Raghava's Group]]></title>
  <description><![CDATA[
<p>Raghava's group is known for developing open source software or web servers. Group have developed large number of web-based services.</p>

<p>Find more at http://www.imtech.res.in/raghava/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43243/interactive-bioinformatics-resources</guid>
	<pubDate>Thu, 12 Aug 2021 00:09:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43243/interactive-bioinformatics-resources</link>
	<title><![CDATA[Interactive Bioinformatics Resources !]]></title>
	<description><![CDATA[<p>Learn how to use bioinformatics tools right from your browser.<br>Everything runs in a sandbox, so you can experiment all you want.</p>
<p>More at sandbox.bio</p><p>Address of the bookmark: <a href="http://sandbox.bio" rel="nofollow">http://sandbox.bio</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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