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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/21257?offset=940</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44581/biokit-a-set-of-tools-dedicated-to-bioinformatics-data-visualisation</guid>
	<pubDate>Tue, 18 Jun 2024 02:04:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44581/biokit-a-set-of-tools-dedicated-to-bioinformatics-data-visualisation</link>
	<title><![CDATA[BioKit: a set of tools dedicated to bioinformatics, data visualisation]]></title>
	<description><![CDATA[<p><span>BioKit is a set of tools dedicated to bioinformatics, data visualisation (</span><a href="https://biokit.readthedocs.io/en/latest/references.html#module-biokit.viz" title="biokit.viz"><code><span>biokit.viz</span></code></a><span>), access to online biological data (e.g. UniProt, NCBI thanks to bioservices). It also contains more advanced tools related to data analysis (e.g.,&nbsp;</span><a href="https://biokit.readthedocs.io/en/latest/references.html#module-biokit.stats" title="biokit.stats"><code><span>biokit.stats</span></code></a><span>). Since R is quite common in bioinformatics, we also provide a convenient module to run R inside your Python scripts or shell (:mod:biokit.rtools module).</span></p><p>Address of the bookmark: <a href="https://biokit.readthedocs.io/en/latest/index.html" rel="nofollow">https://biokit.readthedocs.io/en/latest/index.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2422/bioinformatics-codes-search</guid>
	<pubDate>Thu, 15 Aug 2013 11:08:52 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2422/bioinformatics-codes-search</link>
	<title><![CDATA[Bioinformatics Codes Search]]></title>
	<description><![CDATA[<p>I bet, this website will be your best friend in near future. This helps us to explore the existing open source codes and learn from it.</p>
<p>You can find some useful open source bioinformatics codes for your analysis work. You can use the left bar options to filtere out or narrow down your search result. This webpage can be an useful resource for a beginners bioinformatician as it contain several bioinformatics basics script that are commonly used by biological programmers and biologist.</p>
<p>Stand on the slumped, dandruff-covered shoulders of millions of computer nerds. _/\_</p>
<p>Enjoy the code and research work.</p>
<p>http://code.ohloh.net/search?s=bioinformatics</p><p>Address of the bookmark: <a href="http://code.ohloh.net/search?s=bioinformatics" rel="nofollow">http://code.ohloh.net/search?s=bioinformatics</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/5191/programming-language-to-build-synthetic-dna</guid>
	<pubDate>Mon, 30 Sep 2013 16:37:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/5191/programming-language-to-build-synthetic-dna</link>
	<title><![CDATA[Programming language to build synthetic DNA]]></title>
	<description><![CDATA[<p style="color: #333333; font-size: 13px; font-style: normal; font-weight: normal; text-align: start;">A team led by <a href="http://homes.cs.washington.edu/~seelig/index.html">Georg Seelig</a>&nbsp;(<a href="http://homes.cs.washington.edu/~seelig/index.html">http://homes.cs.washington.edu/~seelig/index.html</a>) at&nbsp;University of Washington has developed a programming language for chemistry that it hopes will streamline efforts to design a network that can guide the behavior of chemical-reaction mixtures in the same way that embedded electronic controllers guide cars, robots and other devices. In medicine, such networks could serve as &ldquo;smart&rdquo; drug deliverers or disease detectors at the cellular level.</p><p style="color: #333333; font-size: 13px; font-style: normal; font-weight: normal; text-align: start;">Reference &amp; More @</p><p style="color: #333333; font-size: 13px; font-style: normal; font-weight: normal; text-align: start;"><a href="http://www.nature.com/nnano/journal/vaop/ncurrent/full/nnano.2013.189.html">http://www.nature.com/nnano/journal/vaop/ncurrent/full/nnano.2013.189.html</a></p><p style="color: #333333; font-size: 13px; font-style: normal; font-weight: normal; text-align: start;"><a href="http://www.washington.edu/news/2013/09/30/uw-engineers-invent-programming-language-to-build-synthetic-dna/">http://www.washington.edu/news/2013/09/30/uw-engineers-invent-programming-language-to-build-synthetic-dna/</a></p><p style="color: #333333; font-size: 13px; font-style: normal; font-weight: normal; text-align: start;">Image source:&nbsp;washington.edu</p><p style="color: #333333; font-size: 13px; font-style: normal; font-weight: normal; text-align: start;"><img src="http://www.washington.edu/news/files/2013/09/Programmable-chemistry-2.jpg" alt="image" style="border: 0px; border: 0px;"></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22938/research-assistant-in-computational-biology</guid>
  <pubDate>Wed, 24 Jun 2015 07:55:16 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research assistant in computational biology]]></title>
  <description><![CDATA[
<p>http://www.au.dk/en/about/vacant-positions/scientific-positions/stillinger/Vacancy/show/743161/5283/</p>

<p>Qualifications:<br />MSc degree in computer science, engineering, genetics or similar field with a strong emphasis on computational methods.</p>

<p>Deadline<br />01.08.2015</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/844/phd-positions</guid>
  <pubDate>Sat, 13 Jul 2013 17:20:07 -0500</pubDate>
  <link></link>
  <title><![CDATA[PhD Positions]]></title>
  <description><![CDATA[
<p>van Noort Group is looking for PhD fellows</p>

<p>We currently access an unprecedented knowledge on the basic components making up living systems. An ever growing number of new technologies are being developed with the capacity to systematically measure the behaviour of multiple cellular components, such as biochemical activities, biophysical properties, subcellular localization and interaction. These technologies produce large amounts of raw data that can be transformed into information by software and tools developed both in academia and industry. However, this biological information does not equal biological knowledge. As biology becomes large-scale, new methods have to be developed to integrate, visualize and query the large amounts of information available. This is usually beyond the expertise of experimental labs. The goal of this young computational systems biology group is to generate biological sense from the growing amount of biological data becoming available and turn biological information into biological knowledge. http://www.biw.kuleuven.be/m2s/cmpg/research/CSB</p>

<p>We seek a PhD student who will work as a computational biologist in the interdisciplinary project NATAR. Understanding the relationship between an organism’s genotype and phenotype remains one of biology’s fundamental challenges. In the project two model organisms, budding yeast and E. coli, will be exploited to better understand two complex genetic traits: ethanol and high temperature tolerance. For both organisms both natural variation and the outcomes of experimental evolution will be correlated with phenotypes. The first challenge in the project will be to identify which of the many variants in these genomes have functional effects. Then we will try to facilitate unravelling complex interactions between alleles, for example through functional gene networks that are based on a combination of published data. An important part of the generated data that underlies this project consists of high-throughput sequencing of DNA and mRNA of populations and isolates. For answering specific questions data integration with other data sources will be needed as well as the application of specific machine learning techniques. Basic molecular biology knowledge and basic programming skills are a prerequisite for this position. Experience with high throughput sequencing analysis methods, machine learning, protein interaction databases, perl/python scripting or BioconductoR are preferred. For more information contact prof. Rob Jelier (r.jelier@gmail.com) or prof. Vera van Noort (vera.vannoort@gmail.com). In your application please include a CV describing coursework, grades and previous research experience as well as a minimum of two letters of recommendation.</p>

<p>Starting date: from 1st of October 2013</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43768/summer-school-open-to-phd-students</guid>
  <pubDate>Wed, 02 Feb 2022 06:08:35 -0600</pubDate>
  <link></link>
  <title><![CDATA[Summer school open to PhD students]]></title>
  <description><![CDATA[
<p>Some PhD students are organizing a summer school open to PhD students with different backgrounds and interests.</p>

<p>Several sessions and workshops will be held within five focus groups, and one common theme: mountain research.</p>

<p>The summer school will take place in Obergurgl, in the middle of the Austrian Alps, September 5-9.</p>

<p>Abstract submission is now open, until February 16th: https://www.imc2022.info/summerschool/</p>

<p>The summer school takes place in the context of the International Mountain Conference 2022, Innsbruck, Austria: https://www.imc2022.info/</p>

<p>Please feel free to spread the word among potentially interested colleagues and PhD students.</p>

<p>"Capponi, Lisa"</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36827/sex-detector-a-probabilistic-approach-to-study-sex-chromosomes-in-non-model-organisms</guid>
	<pubDate>Wed, 30 May 2018 15:57:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36827/sex-detector-a-probabilistic-approach-to-study-sex-chromosomes-in-non-model-organisms</link>
	<title><![CDATA[SEX-DETector: A Probabilistic Approach to Study Sex Chromosomes in Non-Model Organisms]]></title>
	<description><![CDATA[<p>SEX-DETector is a probabilistic method that relies on RNAseq data from a cross (parents and progeny of each sex) to infer autosomal and sex-linked genes (genes located on the non recombining part of sex chromosomes).</p>
<h3>How does SEX-DETector work?</h3>
<p>SEX-DETector does not require prior sequencing of a reference genome: the same sequencing data can be used for the assembly and for the mapping of the reads. A full documentation on the pipeline can be found&nbsp;<a href="https://lbbe.univ-lyon1.fr/IMG/pdf/sex-detector_user_manual.pdf?1294/78de9ae01fbe949e85db7b4392a7854efeba225d">here</a>.</p>
<ul>
<li>we recommend&nbsp;<a href="http://github.com/trinityrnaseq/trinityrnaseq/wiki">Trinity</a>&nbsp;for the assembly.</li>
<li>Trinity components should be merged with&nbsp;<a href="http://seq.cs.iastate.edu/cap3.html">cap3</a>. Our code to perform the merging is available&nbsp;<a href="http://lbbe.univ-lyon1.fr/IMG/zip/cap3_on_trinity_output-2.zip?1517/9ee57874639c69f96319b15e301705489ffce5ce">here</a>.</li>
<li>We recommend&nbsp;<a href="http://bio-bwa.sourceforge.net/">BWA</a>&nbsp;for mapping of the reads.</li>
<li>When the mapping has been perfomed, the individuals need to be genotyped; SEX-DETector takes files produced by Reads2snp (which is available for download on the&nbsp;<a href="http://kimura.univ-montp2.fr/PopPhyl/index.php?section=tools">PopPhyl website</a>) as input.</li>
</ul><p>Address of the bookmark: <a href="http://lbbe.univ-lyon1.fr/-SEX-DETector-.html?lang=eg" rel="nofollow">http://lbbe.univ-lyon1.fr/-SEX-DETector-.html?lang=eg</a></p>]]></description>
	<dc:creator>Surabhi Chaudhary</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37584/mulan-multiple-sequence-local-alignment-and-visualization-for-studying-function-and-evolution</guid>
	<pubDate>Fri, 24 Aug 2018 09:50:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37584/mulan-multiple-sequence-local-alignment-and-visualization-for-studying-function-and-evolution</link>
	<title><![CDATA[Mulan: Multiple-sequence local alignment and visualization for studying function and evolution]]></title>
	<description><![CDATA[<p>Mulan: Multiple-sequence local alignment and visualization for studying function and evolution</p>
<p><span>Mulan (</span><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC540288/#ref44">http://mulan.dcode.org/</a><span>), a novel method and a network server for comparing multiple draft and finished-quality sequences to identify functional elements conserved over evolutionary time. Mulan brings together several novel algorithms: the TBA multi-aligner program for rapid identification of local sequence conservation, and the multiTF program for detecting evolutionarily conserved transcription factor binding sites in multiple alignments. In addition, Mulan supports two-way communication with the GALA database; alignments of multiple species dynamically generated in GALA can be viewed in Mulan, and conserved transcription factor binding sites identified with Mulan/multiTF can be integrated and overlaid with extensive genome annotation data using GALA.</span></p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC540288/" rel="nofollow">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC540288/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/38548/assistant-professor-at-sher-e-kashmir-university-of-agricultural-sciences-technology-of-jammu</guid>
  <pubDate>Sat, 29 Dec 2018 13:05:37 -0600</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor at Sher-e- Kashmir  University of Agricultural Sciences &amp; Technology of Jammu]]></title>
  <description><![CDATA[
<p>Sher-e- Kashmir <br />University of Agricultural Sciences &amp; Technology of Jammu <br />School of Biotechnology </p>

<p>Applications are invited from candidates for the temporary positions on contractual basis for academic arrangement in the School of Biotechnology, SKUAST-J: </p>

<p>3 Assistant Professor (Bioinformatics) (01) </p>

<p>Rs. 25000/- per month for Ph.D. and Rs. 20000/- per month for M. Sc. (Fixed) </p>

<p>High second class M.Sc. degree (55 % marks) in Biotechnology/ Bioinformatics </p>

<p>NET in concerned subject/ Ph.D. &amp; Teaching/ research experience in Bioinformatics/ Computational Biology as evident from documents /publications </p>

<p>The application should reach the office of Coordinator, School of Biotechnology, SKUAST-J, Chatha, Jammu-180009 (J&amp;K) along with attested copies of the certificates on or before 10.01.2019 through registered post only. </p>

<p>More Info: http://skuast.org/site/Templates%20HTML/jobs/2018/ap-sbt-21-12-2018.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/36299/faulty-post-at-maharshi-dayanand-university-rohtak</guid>
  <pubDate>Mon, 23 Apr 2018 05:07:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[FAULTY POST AT MAHARSHI DAYANAND UNIVERSITY, ROHTAK]]></title>
  <description><![CDATA[
<p>ADVT. NO. PR-28 of 2018 </p>

<p>Online applications are invited from eligible &amp; interested candidates for the following Teaching/Non-Teaching posts. Applications must be submitted online from 10.4.2018 to 30.4.2018 through the link available on the university website www.mdurohtak.ac.in </p>

<p>Applicants must read the instructions carefully before proceeding to fill the form. The detailed information/instructions/eligibility criteria are available on the university website www.mdurohtak.ac.in </p>

<p>Budgeted: </p>

<p>Teaching posts:- </p>

<p>Botany: Assistant Professor-1(UR); Biochemistry: Associate Professor-1(UR), Assistant Professor-2(UR-1, SC-1); Centre for Biotechnology: Assistant Professor-1(UR); Centre for Bioinformatics: Associate Professor-1(UR), Assistant Professor-1(SC); Chaudhary Ranbir Singh Institute of Social &amp; Economic Change: Assistant Professor-1(UR); Computer Science &amp; Applications: Assistant Professor-4(UR-3,SC-1); Environmental Science: Assistant Professor-1(UR); Food Technology: Assistant Professor:-2(UR-1, SC-1), Genetics: Professor-1(UR); Microbiology: Assistant Professor-1(SC); Pharmaceutical Sciences: Assistant Professor-1{ESM(UR)}; Physics: Assistant Professor-5{UR-1, SC-2, BC(A)-1, ESM(UR)-1}</p>
]]></description>
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