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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/34624?offset=120</link>
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  <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/bookmarks/view/43683/genview-a-phylogeny-based-comparative-genomics-software-to-analyze-the-genetic-environment-of-genes</guid>
	<pubDate>Tue, 28 Dec 2021 01:49:03 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43683/genview-a-phylogeny-based-comparative-genomics-software-to-analyze-the-genetic-environment-of-genes</link>
	<title><![CDATA[GEnView: A phylogeny based comparative genomics software to analyze the genetic environment of genes]]></title>
	<description><![CDATA[<p><span>A phylogeny based comparative genomics software to analyze the genetic environment of genes. The user can select one or several taxa and provide one or several reference protein(s). Genomes and plasmids (based on user choice) will be downloaded from the NCBI Assembly/NR database and searched for the respective gene. Alternatively, custom genomes can be provided. User selected stretches (20kbp by default) of the genes genetic environment are extracted, annotated and aligned between all genomes. The sequences are then visualized, enabling comparison of synteny and gene content.</span></p>
<p><span>More at&nbsp;https://pubmed.ncbi.nlm.nih.gov/34951622/</span></p><p>Address of the bookmark: <a href="https://github.com/EbmeyerSt/GEnView" rel="nofollow">https://github.com/EbmeyerSt/GEnView</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44661/lovis4u-locus-visualisation-tool-for-comparative-genomics</guid>
	<pubDate>Tue, 17 Sep 2024 02:30:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44661/lovis4u-locus-visualisation-tool-for-comparative-genomics</link>
	<title><![CDATA[LoVis4u: Locus Visualisation tool for comparative genomics]]></title>
	<description><![CDATA[<p dir="auto"><a href="https://github.com/art-egorov/lovis4u/blob/main/docs/img/lovis4u_logo.png" target="_blank"><img src="https://github.com/art-egorov/lovis4u/raw/main/docs/img/lovis4u_logo.png" alt="image" width="300" style="border: 0px; border: 0px;"></a></p>
<div dir="auto">
<h2 dir="auto">Description</h2>
<a href="https://github.com/art-egorov/lovis4u#description"></a></div>
<p dir="auto"><span>LoVis4u</span>&nbsp;is a bioinformatics tool for&nbsp;<span>Lo</span>ci&nbsp;<span>Vis</span>ualisation.</p>
<p dir="auto"><span>LoVis4u, a command-line tool and Python API designed for highly customizable and fast visualisation of multiple genomic loci. LoVis4u generates vector images in PDF format based on annotation data from GenBank or GFF files. It is capable of visualising entire genomes of bacteriophages as well as plasmids and user-defined regions of longer prokaryotic genomes. Additionally, LoVis4u offers optional data processing steps to identify and highlight accessory and core genes in input sequences.</span></p>
<p dir="auto">https://art-egorov.github.io/lovis4u/</p>
<p dir="auto">&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/art-egorov/lovis4u" rel="nofollow">https://github.com/art-egorov/lovis4u</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24464/guest-faculty-job-vacancies-in-pondicherry-university</guid>
  <pubDate>Tue, 22 Sep 2015 23:50:16 -0500</pubDate>
  <link></link>
  <title><![CDATA[Guest Faculty Job vacancies in Pondicherry University]]></title>
  <description><![CDATA[
<p>Guest Faculty Job vacancies in Pondicherry University<br />Qualification : M.Phil. / M.Tech. / M.Sc. in Computer Science / Master of Computer Applications with a minimum of 55% of marks. Candidates with Ph.D. degree and NET/SLET qualification will be given preference as per UGC norms.</p>

<p>Desirable : Research or teaching experience in Bioinformatics and Computational Biology.<br />Honorarium : Rs. 1,000/- per lecture (subject to a maximum of 25,000/- per month)<br />How to apply</p>

<p>Interested eligible candidates may attend the 'walk-in' interview along with all original certificates and testimonials with a copy of their bio-data. Walk-in-interview will be held on 28.09.2015 (Monday), 03:00 P.M. at the office of the Dean, School of Life Sciences, Science Block — I, Pondicherry University, Puducherry — 605 014. Candidates reporting after 03:00 P.M. will not be entertained.</p>

<p>More at http://www.pondiuni.edu.in/news/walk-interview-guest-faculty-centre-bioinformatics</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/view/119</guid>
	<pubDate>Wed, 10 Jul 2013 14:35:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/view/119</link>
	<title><![CDATA[Which are the best statistical programming languages to study for a bioinformatician?]]></title>
	<description><![CDATA[<p><span>In Bio-informatics based&nbsp;genome sequencing and predicting metabolic pathways&nbsp;research jobs&nbsp;I used Matlab, SAS, SPSS, R and several Bioconductor packages. Matlab had a lot of powerful tools and was easy to use, whereas SPSS is for non-programmers and R need programming skills. I am wondering what other people think is best? or there might not be one specific language but a few that lend themselves best to Bio-informatics work that is math heavy and deals with a large amount of data.</span></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/857/smyth-lab</guid>
  <pubDate>Sun, 14 Jul 2013 12:26:18 -0500</pubDate>
  <link></link>
  <title><![CDATA[Smyth Lab]]></title>
  <description><![CDATA[
<p>Statistical functional genomics in experimental medicine<br />The genome projects and the accelerated development of high-throughput genomic technologies such as microarrays have revolutionised biology. Making the most of this revolution requires the marriage of researchers from mathematical and biological backgrounds.</p>

<p>Research Area:<br />Linear models for microarray data<br />Digital gene expression technologies<br />Detection of molecular pathways<br />Bioinformatics resources for medical research</p>

<p>Link @ http://www.wehi.edu.au/faculty_members/professor_gordon_smyth/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/914/welch-lab</guid>
  <pubDate>Mon, 15 Jul 2013 18:21:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[Welch Lab]]></title>
  <description><![CDATA[
<p>They are based in the Department of Genetics at the University of Cambridge. </p>

<p>The research covers diverse areas of evolutionary biology, and molecular evolution in particular. It combines theoretical and empirical approaches, and particularly evolutionary inference from genome sequence data.</p>

<p>Links @ http://www.gen.cam.ac.uk/research/welch/GroupPage/Home.html</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/1466/iscb-asia-2013-translational-bioinformatics-conference</guid>
  <pubDate>Thu, 08 Aug 2013 06:31:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[ISCB-Asia 2013 Translational Bioinformatics Conference]]></title>
  <description><![CDATA[
<p>ISCB-Asia 2013<br />Translational Bioinformatics Conference<br />Seoul, Korea<br />October 2 - 4, 2013</p>

<p>For more information visit: http://www.snubi.org/TBC2013/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/1491/2013-nextgen-genomics-bioinformatics-technologies-ngbt-conference-new-delhi-india</guid>
  <pubDate>Thu, 08 Aug 2013 16:21:16 -0500</pubDate>
  <link></link>
  <title><![CDATA[2013 NextGen Genomics &amp; Bioinformatics Technologies (NGBT) Conference, New Delhi, INDIA]]></title>
  <description><![CDATA[
<p>2013 NextGen Genomics &amp; Bioinformatics Technologies (NGBT) Conference</p>

<p>SciGenom Research Foundation (SGRF) and Institute of Genomics and Integrative Biology (IGIB) are pleased to host the Next-Generation Sequencing and Bioinformatics for Genomics &amp; Healthcare conference.</p>

<p>In the ten years since the first human reference genome was completed for US$3 billion the sequencing technologies have radically changed leading to great reduction in sequencing cost. Today a human genome can be sequenced for under US$ 5000 in less than two weeks. It is expected that by the end of 2015 the cost of sequencing a human genome will drop to below thousand dollars. The next generation sequencing technologies over the past five years have enabled a large number of genomic studies that impact human health and disease. Also, this has made possible the growth of microbial, animal and plant genomics studies. While the data production has increased at a rapid pace challenges remain in analyzing and understanding the data. The conference will cover the next generation sequencing (NGS) technologies, bioinformatics for NGS and applications of NGS in many areas including personalized medicine.</p>

<p>For more info : http://www.scigenomconferences.com/2013/default.php</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/1970/indias-own-first-drug-from-biocon</guid>
	<pubDate>Sun, 11 Aug 2013 16:05:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/1970/indias-own-first-drug-from-biocon</link>
	<title><![CDATA[India&#039;s own first drug - from Biocon.]]></title>
	<description><![CDATA[<p><span><span>Psoriasis is immune-mediated disease that effects the skin. the Disease on an average affects about 10-20 million Indians and it attacks the immune system of human beings. In generally occurs, when the immune system mistakes a normal skin cell for a pathogen, and sends out faulty signals that cause overproduction of new skin cells. <a href="http://en.wikipedia.org/wiki/Psoriasis">More at &gt;&gt;</a><br /></span></span></p><p><span><span>Biocon, India's largest publicly-held biotechnology firm, launched its second novel 'lab-to-market' molecule,<strong> Alzumab</strong>, to treat chronic plaque <strong>psoriasis</strong> at a cost 50 per cent lower than the existing one. </span></span></p><p><span><span><span><span>Biocon is bringing Alzumab (a biologic) in the form of a vial after working on it for nearly a decade. The work had initially started in a joint effort with the Center of Molecular Immunology, Havana, but Biocon took control of the programme soon after and also bought out its partner a few years ago. Biocon tell to the media that genotypic played a critical role in functional studies and clinical trial Genomics. </span></span><br /><br />The Biocon drug, at around&nbsp;₹ 7,500 a vial, will cost half as much as the currently available drugs - from Pfizer and J&amp;J - to treat psoriasis, a skin disease that causes rough red areas where the skin comes off in small pieces. A patient is usually prescribed to consume more than 40 vials in a 24-week course.<br /><br /></span></span></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/1970" length="90484" type="image/jpeg" />
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