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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/29142?offset=990</link>
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	<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>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4178/phd-position-in-biochemistry-towards-bioinformatics-at-the-department-of-biochemistry-and-biophysics</guid>
  <pubDate>Tue, 03 Sep 2013 06:09:03 -0500</pubDate>
  <link></link>
  <title><![CDATA[PhD position in biochemistry towards bioinformatics at the Department of Biochemistry and Biophysics.]]></title>
  <description><![CDATA[
<p>PhD position in biochemistry towards bioinformatics at the Department of Biochemistry and Biophysics. Reference number: SU FV-2293-13. Deadline for application: September 10, 2013.</p>

<p>Project title: Functional Inference from Domain Architecture and Orthology</p>

<p>Requirements</p>

<p>To be accepted as a PhD student, credits corresponding to four years of full-time studies at the undergraduate level are required, including credits corresponding to at least two years of fulltime studies in chemistry, life sciences or physics, depending on the program. The credits should include courses at the advanced level (second cycle) corresponding to one year and of these one semester should be a degree thesis. In order to facilitate the evaluation of merits and suitability for the PhD studies the curriculum vitae (CV) should contain information about the extent and focus of the academic studies. The quantity (as part of an academic year) and the quality mark of courses in chemistry and physics are of particular interest. The title, number of credits and the length in full-time months of undergraduate thesis and project work, should be specified.</p>

<p>Information</p>

<p>More information about the project can be provided by the project leader. General information about the PhD training program may be requested from the director of graduate studies, Stefan Nordlund, stefan@dbb.su.se or from Lena Mäler, Head of Department (prefekt), lenam@dbb.su.se</p>

<p>Further information on the web:</p>

<p>The Department of Biochemistry and Biophysics: www.dbb.su.se</p>

<p>Stockholm University: www.su.se/english</p>

<p>Faculty of Science: www.science.su.se/english</p>

<p>The handbook for postgraduate students: www.doktorandhandboken.nu/english</p>

<p>Application The application should contain a personal letter (a letter of intent explaining why you are interested in the specific project, why you are interested in studying for a PhD, what you hope to accomplish during your PhD studies, and what skills you can bring to this project), a curriculum vitae, a list of two persons who may act as referees (with telephone numbers and e-mail addresses), copies of degree certificates and transcripts of academic records, and a copy of your undergraduate thesis and articles, if any.</p>

<p>In order to apply for this position, please use the Stockholm University web-based application form (where it is possible to select language):</p>

<p>To the application form for this position.</p>

<p>Welcome with your application no later than September 10, 2013.</p>

<p>Project leader: Erik Sonnhammer, Erik.Sonnhammer@sbc.su.se,<br />www.sonnhammer.sbc.su.se</p>

<p>Advertisement: http://www.su.se/english/about/vacancies/phd-studies/phd-position-in-biochemistry-towards-bioinformatics-1.143446</p>
]]></description>
</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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/2931/senior-bioinformatics-programmer-and-srf-at-biotech-park-lucknow</guid>
  <pubDate>Fri, 23 Aug 2013 04:55:51 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Bioinformatics Programmer and SRF at  BIOTECH PARK Lucknow]]></title>
  <description><![CDATA[
<p>BIOTECH PARK</p>

<p>Advt. No. 3 (8)/BP/13</p>

<p>A walk-in-interview will be held in the Biotech Park Office at Sector G, Jankipuram, Kursi Road, Lucknow (U.P.) August 27, 2013 at 11.00 a.m. for the following posts of DBT sponsored project tenable at Biotech Park. Interested candidates fulfilling the requisite qualifications, experience and age as given below, may appear on the date of interview, before the Selection Committee. The candidate will have to join immediately.</p>

<p>INTERVIEW ON August 27, 2013 at 11.00 A.M.</p>

<p>2. SENIOR PROGRAMMER (ONE POST)</p>

<p>a)  Educational Qualification M.Sc. Bioinformatics with minimum 60% marks with two years of relevant experience or B.Tech. Bioinformatics or Biotechnology with minimum 60% marks with two years experience in Bioinformatics.</p>

<p>b) Job Requirement Development of databases in multi user environment and application softwares, maintenance of website, Drug designing and QSAR study etc.</p>

<p>c) Desirable Knowledge of Bioinformatics tools, Windows, Linux, C++, JAVA / JAVA Script, Visual Basic, CGI, DBMS/RDBMS and HTML. Experience in various domains of bioinformatics such as structure based drug designing, Newtonian dynamics and OSAR studies.</p>

<p>d)  Age  Below 35 years (as on the date of interview)</p>

<p>e) Emoluments  Rs. 12,000/- per month fixed.</p>

<p>Appointment will be made initially for one year extendable on satisfactory performance till the duration of the project.</p>

<p>3. SENIOR RESEARCH FELLOW: (ONE POST)</p>

<p>a)  Educational Qualification M.Sc. in Biotechnology/Botany with minimum 60% marks and knowledge of handling database &amp; database searching.</p>

<p>b) Essential Qualification Expertise in windows, Microsoft excel.</p>

<p>c) Desirable Good knowledge of statistical software packages like SPSS.</p>

<p>d) Age Below 35 years ( as on the date of interview)</p>

<p>e) Job Requirement: Management of database &amp; website in multi user environment, computation of biological field data and generation of reports.</p>

<p>f) Emoluments</p>

<p>18000+ HRA for Net/GATE qualified<br />14000+ HRA for others</p>

<p>The appointment will be made till the duration of project.</p>

<p>Note: All the candidates should report for interview on or before 10.45 A.M.</p>

<p>General Conditions</p>

<p>    The aforesaid positions are purely temporary and do not give the incumbent any right whatsoever for appointment on regular basis.<br />    More Advertisement: http://www.biotechpark.org.in/html/jobs%20in%20Biotech%20Park/Job_2013_04.htm</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4042/a-brief-introduction-to-genetics</guid>
	<pubDate>Wed, 28 Aug 2013 06:49:38 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4042/a-brief-introduction-to-genetics</link>
	<title><![CDATA[A Brief Introduction to Genetics]]></title>
	<description><![CDATA[<iframe src="http://player.vimeo.com/video/20898800?byline=0" width="" height="" frameborder="0" webkitAllowFullScreen allowFullScreen></iframe>A Brief Introduction to Genetics is a short documentary film that explores the history of genetics & genomics and the underlying concepts that provide the foundational knowledge that today's research is built upon. The film describes the history of genetics, from Gregor Mendel, to concepts such as DNA and the genetic code. Having introduced the fundamental ideas of genetics, the film moves on to describe the current techniques used to study genetics. Finally, the film explores the connection of these core concepts to genomics and bioinformatics.]]></description>
	
</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>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4108/tijana-milenkovic-lab</guid>
  <pubDate>Fri, 30 Aug 2013 06:45:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[Tijana Milenkovic Lab]]></title>
  <description><![CDATA[
<p>Complex networks and network mining: developing graph theoretic, mathematical, and computational algorithms for efficient extraction of function from topology of complex real-world networks, such as biological, social, and technological networks.</p>

<p>Computational and systems biology: studying the interplay between network topology and biological function, disease, and evolution in molecular (e.g., protein-protein interaction) networks.</p>

<p>Computational chemistry: protein folding; computational drug discovery and design.</p>

<p>Synthetic biology.</p>

<p>More at http://www.cse.nd.edu/~tmilenko/index.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41202/biocontainers</guid>
	<pubDate>Thu, 20 Feb 2020 05:29:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41202/biocontainers</link>
	<title><![CDATA[BioContainers]]></title>
	<description><![CDATA[<p><span>BioContainers is a community-driven project that provides the infrastructure and basic guidelines to create, manage and distribute bioinformatics packages (e.g conda) and containers (e.g docker, singularity). BioContainers is based on the popular frameworks&nbsp;</span><a href="https://conda.io/">Conda</a><span>,&nbsp;</span><a href="https://www.docker.com/">Docker</a><span>&nbsp;and&nbsp;</span><a href="https://www.sylabs.io/docs/">Singularity</a><span>.</span></p><p>Address of the bookmark: <a href="https://biocontainers.pro/#/" rel="nofollow">https://biocontainers.pro/#/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4234/ncbi-psi-blast-tutorial</guid>
	<pubDate>Wed, 04 Sep 2013 11:46:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4234/ncbi-psi-blast-tutorial</link>
	<title><![CDATA[NCBI PSI-BLAST Tutorial]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/T3kHEieyylk" frameborder="0" allowfullscreen></iframe>http:--www.biotechnology.jhu.edu-
Tutorial for PSI-BLAST, an extension of BLAST that uses matrix algebra. BLAST is a cornerstone bioinformatics tool at NCBI. BLAST is the
Basic Local Alignment Search tool and will protein and DNA sequences that
are related to a sequence that the user provides.]]></description>
	
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42236/bioinformatics-focused-postdoctoral-fellow</guid>
  <pubDate>Fri, 23 Oct 2020 05:52:52 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics-focused postdoctoral fellow]]></title>
  <description><![CDATA[
<p>Jason Thomas Ladner currently recruiting for a bioinformatics-focused postdoctoral<br />fellow to join the group at the Pathogen and Microbiome Institute,<br />Northern Arizona University (http://www7.nau.edu/ladnerlab/). This<br />will be a multi-year, NIH-funded position focused on the development and<br />utilization of a novel platform for highly multiplexed antiviral serology,<br />which utilizes high-throughput sequencing technology.</p>

<p>To apply:<br />https://hr.peoplesoft.nau.edu/psp/ph92prta/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&amp;Action=U&amp;FOCUS=Applicant&amp;SiteId=1&amp;JobOpeningId=604999&amp;PostingSeq=1</p>

<p>For more information, feel free to contact me: jason.ladner@nau.edu</p>
]]></description>
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