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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/19921?offset=1010</link>
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	<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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	<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>
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  <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/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>
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	<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>
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  <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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  <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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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/12883/breaking-chromosomes-to-study-cancer</guid>
	<pubDate>Fri, 18 Jul 2014 05:42:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/12883/breaking-chromosomes-to-study-cancer</link>
	<title><![CDATA[Breaking chromosomes to study cancer !!!]]></title>
	<description><![CDATA[<p>Chromosomes are present in every cell of our body and they contain the information the body needs to develop and function properly. This information is carried in genes that are arranged along the chromosomes. There are usually 46 chromosomes in every cell. These chromosomes come in pairs, one from our mother and one from our father. The chromosomes can be sorted into 23 pairs by looking at them down a microscope.</p><p>Most people who have a balanced translocation have the right amount of chromosome material but it has been rearranged in some way. This may happen if two chromosomes swap pieces (a reciprocal translocation). In other cases two whole chromosomes may become stuck together (a Robertsonian translocation). This page describes what happens when someone has a reciprocal translocation. <br /><br />Reciprocal chromosomal translocations occur following double-strand breaks (DSBs) in DNA when a section of one chromosome is exchanged with that of another, non-homologous chromosome. These exchanges may produce a dysfunctional fusion gene that disrupts cell growth and survival pathways, such as the translocations seen in leukemia and childhood sarcomas. <br /><br />Chromosomal translocations have been well studied in cancer cell lines which are associated with two types of cancer, acute myeloid leukemia and Ewing's sarcoma, but determining how they contribute to cancer development is complicated by additional mutations and altered gene expression profiles in these cultured cells. Now, Juan Carlos Ramirez, head of the Viral Vector Facility at the Fundacion Centro Nacional de Investigaciones Cardiovasculares (CNIC) and his colleagues Raul Torres at CNIC and Sandra Rodriguez-Peralez at the Spanish National Cancer Center (CNIO) in Madrid, Spain have used a new genome editing tool, CRISPR-Cas9, to induce chromosomal translocations for the first time in a human cell line and in primary cells. The study's authors conclude by stating that the use of this technology will allow for the clarification of how and why chromosomal translocation occurs, which without doubt will allow new anti-cancer therapeutic strategies to be tackled.</p><p>Using RNA-Guided Endonuclease (RGEN) technology or CRISPR/Cas9 genome engineering technology, CNIO and CNIC researchers have shown that it is possible to obtain such chromosomal translocations. The CRISPR-Cas9 system is extremely simple to introduce a cut at the desired locus, easier to design, and cheaper than many other systems. Using the CRISPR-Cas9 system, Ramirez and his colleagues reproduced the translocations observed in Ewing&rsquo;s Sarcoma (ES) and Acute Myeloid Leukemia (AML) patient cell lines in HEK293 cells and also generated the ES translocation in human mesenchymal stem cells and the AML translocation in umbilical cord blood cells.</p><p>By focusing on chromosomal translocation without the confounding characteristics of established cell lines, these new cells lines should help answer the fundamental question of what causes a cell to become cancerous. Ramirez and his team now look forward to modeling other chromosome translocations in a variety of cell types.</p><p>Reference:</p><p>http://en.wikipedia.org/wiki/Chromosomal_translocation</p><p>http://www.nature.com/ncomms/2014/140603/ncomms4964/abs/ncomms4964.html<br /><br /></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/17504/postdoc-scientist-bioinformatics-at-ccmb</guid>
  <pubDate>Fri, 26 Sep 2014 19:58:41 -0500</pubDate>
  <link></link>
  <title><![CDATA[PostDoc Scientist Bioinformatics at CCMB]]></title>
  <description><![CDATA[
<p>1. Project Assistant/Junior Research Fellow/ Project Fellow [PA_JRF_PF]</p>

<p>a) M.Sc/or equivalent in biological sciences/related areas [Position Code: PA_JRF_PF_a]<br />b) B.E/B.Tech/ M.Sc in biotechnology/bioinformatics/computer science/Chemistry/Physics or MCA [Position Code: PA_JRF_PF_b]<br />c) M.Sc/or equivalent in wildlife sciences/ecology/environmental sciences or MBBS/BVSc/MVSc. [Position Code: PA_JRF_PF_c]</p>

<p>(Candidates with result awaited are NOT eligible to apply)</p>

<p>Upper Age limit 28years</p>

<p>Rs.12000 / Rs.16000 (as sanctioned by the funding agency)</p>

<p>2. Post Doctoral Fellow/Research Associate in multiple research areas [PDF_RA]</p>

<p>Ph.D. (submitted/awarded) in any branch of biological Sciences. Candidates with Ph.D. in other sciences are also encouraged to apply.</p>

<p>Experience in molecular biology, biochemistry, structural biology, cell biology, infectious disease, conservation genetics, veterinary science, reproductive biology, and molecular diagnostics is desired but not mandatory.</p>

<p>[Position Code: PDF_RA]</p>

<p>UpperAge limit 35years</p>

<p>Rs. 22000- 26000 (as sanctioned by the funding agency)</p>

<p>3. Post Doctoral Scientist Fellow [PDSF]</p>

<p>Ph.D in any of the following areas: bioinformatics, next generation sequencing, high throughput data analysis, proteomics, bio-statistics, computer science, information technology, computer hardware and networking/clustering, parallel processing.<br />[Position Code: PDSF]</p>

<p>Upper Age limit 40 years</p>

<p>Rs. 40000 consolidated (as sanctioned by the funding agency)</p>

<p>Download Application: Last date for apply online: 09th Oct 2014</p>

<p>Advertisement: www.ccmb.res.in//index.php?view=notifications&amp;mid=0&amp;id=71&amp;nid=38</p>

<p>Apply online http://www.ccmb.res.in/positions/temp_notif/online_form.html</p>

<p>More at http://www.ccmb.res.in//index.php?view=notifications&amp;mid=0&amp;id=71&amp;nid=38</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/17652/arraygen-bioinformatics-genomics-group</guid>
  <pubDate>Sun, 28 Sep 2014 14:09:55 -0500</pubDate>
  <link></link>
  <title><![CDATA[ArrayGen Bioinformatics Genomics Group]]></title>
  <description><![CDATA[
<p>ArrayGen is a global bioinformatics company which is a one stop solution for microarray designing and genomics data analysis. Our novel Array Design Approach Strategy (ADAS) aims to condense the time lag between demands of scientific community and manufacture industry, thereby expediting research processes.</p>

<p>ArrayGen specializes in Genomics data analysis and research, as we believe in the level of precision, predictability, benchmark-ability, and data analysis capability of genomics data over other forms of biological data. ArrayGen constantly strives to develop new solutions, and plug the existing gaps in the technological advancement of the field.</p>

<p>More http://www.arraygen.com/</p>
]]></description>
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