<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/4959?offset=120</link>
	<atom:link href="https://bioinformaticsonline.com/related/4959?offset=120" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29282/cosmic</guid>
	<pubDate>Sat, 01 Oct 2016 15:04:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29282/cosmic</link>
	<title><![CDATA[COSMIC]]></title>
	<description><![CDATA[<p>The accurate description and annotation of structural variants can be complex. &nbsp;This is due to the different resolution that variants are reported from traditional&nbsp;cytogenetic coordinates down to the actual base pair positions. Furthermore, multiple&nbsp;rearrangements in a single area of the genome can make cataloguing and interpreting&nbsp;their effects challenging.&nbsp;</p>
<p>The Rearrangement Overview page describes the one or more breakpoints which make up a structural&nbsp;variant. A breakpoint is defined as a region or point where the sample sequence has altered&nbsp;from the reference sequence. Minimum interpretation is made of this data. One variant event&nbsp;can consist of one or multiple breakpoints. The Syntax (shown above the table) gives a detailed description of the variant and its location &nbsp;(e.g. chr11:g.36585230_76606619del, a deletion of&nbsp;roughly 40Mb on chromosome 11). Syntax is based on HGVS mutation nomenclature recommendations&nbsp;[http://www.hgvs.org/rec.html].&nbsp;</p>
<p>http://cancer.sanger.ac.uk/cosmic/help/rearrangement/overview</p><p>Address of the bookmark: <a href="http://cancer.sanger.ac.uk/cosmic/help/rearrangement/overview" rel="nofollow">http://cancer.sanger.ac.uk/cosmic/help/rearrangement/overview</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/2002/ibl-laboratory</guid>
  <pubDate>Mon, 12 Aug 2013 02:02:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[IBL laboratory]]></title>
  <description><![CDATA[
<p>The IBL laboratory focuses on the multi-disciplinary analyses of the global responses of model microorganisms, cyanobacteria (mainly Synechocystis PCC6803) and yeasts (mainly Saccharomyces cerevisae) to environmental stresses triggered by oxidative agents, heavy metals, or drastic changes in nutrients availability. The genome-wide responses studied with the "omics" techniques (transcriptomics, proteomics, metabolomics and genetics) generate a wealth of experimental data, which are processed, archived, integrated and represented as working models through bioinformatics and mathematics. </p>

<p>Link : http://www-dsv.cea.fr/en/instituts/institut-de-biologie-et-de-technologies-de-saclay-ibitec-s/unites-de-recherche/service-de-biologie-integrative-et-genetique-moleculaire-sbigem/laboratoire-de-biologie-integrative-lbi/presentation__1</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4003/personalised-medicine-animation</guid>
	<pubDate>Tue, 27 Aug 2013 10:07:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4003/personalised-medicine-animation</link>
	<title><![CDATA[Personalised Medicine - Animation]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/fEY3Khsmuak" frameborder="0" allowfullscreen></iframe>Two animated case scenarios set now and in the future. These highlight potential differences in the way patients are treated now, and how they might be treated as healthcare becomes more tailored.]]></description>
	
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4004/33rd-annual-convention-of-indian-association-for-cancer-research-from-13th-to-15th-february-2014</guid>
  <pubDate>Tue, 27 Aug 2013 10:37:08 -0500</pubDate>
  <link></link>
  <title><![CDATA[33rd Annual Convention of Indian Association for Cancer Research from 13th to 15th February 2014]]></title>
  <description><![CDATA[
<p>RGCB is organizing the 33rd Annual Convention of Indian Association for Cancer Research from 13th to 15th February 2014 with the theme "Discovery, Innovation and Translation in Cancer Research"</p>

<p>Kindly log on to conference website http://rgcb.res.in/IACR2014 for further details and timely updates and registration. We shall truly appreciate if the same be circulated among your friends, scholars and students encouraging them to participate in the meet.</p>

<p>http://210.212.237.38/iacrconference/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41905/research-associate-bioinformatics-in-iisc-recruitment-2020</guid>
  <pubDate>Tue, 23 Jun 2020 21:53:34 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatics in IISc Recruitment 2020]]></title>
  <description><![CDATA[
<p>Research Associate Bioinformatics in IISc Recruitment 2020</p>

<p>Essential Qualifications: Ph.D. (Bioinformatics/ Biophysics/ Biotechnology or any other stream of biological/ physical sciences) with a minimum of two publications in reputed peer reviewed journals in the area of structural bioinformatics or biophysics or biomolecular modeling/ simulation.</p>

<p>Job description: Development of bioinformatics tools and algorithms/software for structure based analysis of biomolecular systems. Programmatic access to major biomolecular databases using APIs Knowledge based prediction and analysis of biomolecular structure, function and interactions. Docking/simulations for inhibitor design.</p>

<p>Desirable Qualifications (Research Associate/s): i)  Strong computer programming skills (in Python/PERL/PHP or C++ or object oriented database management systems like MySQL etc or scripting languages under LINUX/UNIX environment). </p>

<p>ii) Extensive experience in computational analysis of biomolecular structure/interactions and usage of advanced biomolecular simulation softwares. iii) Adequate knowledge of major databases, webservers and softwares in the area of biomolecular structure/function and drug design. iv)  Familiarity with Parallel Programming environments and experience in usage of high-end HPC clusters.</p>

<p>The candidates must highlight their experience in above mentioned fields/topics in their CV. Initial appointment will be for a period of 1 year, subject to extension after review of performance.</p>

<p>Emoluments: As per DST, GOI norms and commensurate with experience.</p>

<p>More at https://www.iisc.ac.in/positions-open/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4409/huber-lab</guid>
  <pubDate>Mon, 09 Sep 2013 21:57:03 -0500</pubDate>
  <link></link>
  <title><![CDATA[Huber Lab]]></title>
  <description><![CDATA[
<p>The Huber group develops computational and statistical methods to design and analyse novel experimental approaches in genetics and cell biology. </p>

<p>Future projects and goals</p>

<p>Large-scale systematic maps of gene-gene and gene-environment interactions by automated phenotyping, using image analysis, machine learning, sparse model building and causal inference.<br />DNA-, RNA- and ChIP-Seq and their applications to gene expression regulation: statistical and computational foundations.<br />Cancer genomics, genomes as biomarkers, cancer phylogeny.<br />Image analysis for systems biology: measuring the dynamics of cell cycle and of cell migration of individual cells under normal conditions and many different perturbations (RNAi, drugs).</p>

<p>More @ http://www.embl.de/research/units/genome_biology/huber/index.html</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4653/human-genome-meeting-2014-geneva-switzerland</guid>
  <pubDate>Fri, 20 Sep 2013 12:36:44 -0500</pubDate>
  <link></link>
  <title><![CDATA[Human Genome Meeting 2014, Geneva, Switzerland]]></title>
  <description><![CDATA[
<p>The spectacular advances of the last few years resulted in the rapid analysis of the genome sequence of each individual. The biomedical world is now faced with the enormous challenges of assigning pathogenicity to each genomic variant, the functional analysis of the genome of each individual, and the accurate and detailed phenotypic characterization. Advances in these challenges are likely to fundamentally change the medical practice in a global scale.</p>

<p>This 2014 HUGO Meeting in Geneva will be a Forum for discussions on innovative approaches, and proposals to tackle the anticipated challenges.</p>

<p>Time : 27 April 2014 - 30 April 2014 </p>

<p>For enquiries, please email hugo2014@mci-group.com or visit www.hugo-international.org</p>

<p>More at http://www.hgm2014-geneva.org/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/5254/mike-ritchie-lab</guid>
  <pubDate>Wed, 02 Oct 2013 15:25:45 -0500</pubDate>
  <link></link>
  <title><![CDATA[Mike Ritchie Lab]]></title>
  <description><![CDATA[
<p>Mike Ritchie Lab primary research focus is the detection of susceptibility genes for common diseases such as cancer, diabetes, hypertension, and cardiovascular disease, among others. The approaches will involve the development and application of new statistical methods with a focus on the detection of gene-gene interactions associated with human disease.</p>

<p>Gene expression and protein expression patterns between normal and non-normal tissues is a growing area of research that may lead to the identification of candidate genes for understanding the etiology of common, complex diseases. </p>

<p>Lab homepage @ http://ritchielab.psu.edu/ritchielab/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44702/postdoc-in-comparative-single-cell-genomics-at-university-of-basel</guid>
  <pubDate>Fri, 06 Dec 2024 23:41:20 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoc in Comparative Single Cell Genomics at University of Basel]]></title>
  <description><![CDATA[
<p>A fully funded 4-year Postdoc position is available in the lab of Patrick<br />Tschopp at the University of Basel, Switzerland, study the molecular and<br />tissue-scale dynamics during the embryonic formation of the vertebrate<br />skeleton and compare it across different vertebrate species with distinct<br />habitats.</p>

<p>We are looking for a highly motivated candidate with a PhD degree in<br />Bioinformatics or a related field. Candidates are expected to have a<br />strong background in evolutionary biology and/or comparative functional<br />genomics. Additional experiences in single cell functional genomics<br />analyses, statistics and computational data analyses are a plus, as is<br />an interest in comparative developmental (EvoDevo) questions.</p>

<p>We offer a dynamic and interactive research environment with state-of-the<br />art research facilities, good research funding and internationally<br />competitive salaries.</p>

<p>The Tschopp lab (www.evolution.unibas.ch/tschopp/research/)<br />studies the gene regulatory mechanisms of cell type<br />specification and evolution in vertebrates. See also our<br />preprints at https://doi.org/10.1101/2024.03.26.586769 and<br />https://doi.org/10.1101/2024.11.28.625862 Applications should include<br />a motivation letter, a CV, a list of publications, a statement about<br />research interests, as well as the names and contact details of at<br />least two referees. Applications (in the form of a single .pdf file)<br />should be sent to Patrick Tschopp (patrick.tschopp@unibas.ch); review<br />of applications will begin on January 1st 2025, and will continue until<br />the position is filled.</p>

<p>Patrick Tschopp</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/45115/postdoctoral-fellow-in-genomics-and-comparative-genomics</guid>
  <pubDate>Thu, 09 Apr 2026 02:12:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Fellow in Genomics and Comparative Genomics]]></title>
  <description><![CDATA[
<p>Environnement de travail (Work environment):<br />The successful candidate will join a dynamic research group working<br />on the ecology and evolution of host'parasite'environment<br />interactions in non-model organisms, particularly snail vectors and<br />its trematode parasites. She/He will conduct genomic analyses aimed at<br />understanding host'parasite coevolution and the genetic architecture<br />of resistance in the invasive snail Pseudosuccinea columella to the<br />zoonotic parasite Fasciola hepatica. This thematic line is embedded<br />within the regional scientific project InvaSnail financed by the<br />ExposUM initiative from the Montpellier. The position is based in<br />Montpellier, a vibrant scientific hub in Southern France internationally<br />recognized for excellence in ecology and evolutionary biology. The IHPE<br />laboratory provides a collaborative research environment with access<br />to high-performance computing facilities, sequencing platforms, and<br />strong interdisciplinary interactions across research institutions in<br />the Montpellier area. University</p>

<p>Main mission:</p>

<p>Develop and implement strategies for whole-genome sequencing of non-model<br />species<br />Generate high-quality de novo genome assemblies using short- and long-read<br />sequencing technologies<br />Perform genome annotation and structural/functional characterization<br />Conduct comparative genomic analyses across related species or populations<br />Design and implement genome-wide association studies (GWAS) to identify<br />loci associated with phenotypic or adaptive traits<br />Integrate genomic, phenotypic, and environmental datasets<br />Contribute to the development of reproducible bioinformatics pipelines</p>

<p>ActivitÃ©s (Activities):</p>

<p>Lead the genomic component of the research project<br />High-molecular-weight DNA extraction optimization<br />Long-read genome assembly (PacBio HiFi / ONT)<br />Genome polishing and quality assessment (BUSCO, QUAST)<br />Structural and functional annotation<br />Variant discovery (SNPs, indels, SVs)<br />Population genomic analyses (FST, demographic inference)<br />Mixed-model GWAS accounting for structure<br />Workflow development (Snakemake/Nextflow)<br />HPC-based pipeline implementation<br />Publish results in peer-reviewed journals<br />Present findings at international conferences<br />Collaborate with experimental and computational team members<br />Contribute to project development<br />Mentor graduate students when appropriate</p>

<p>More at https://evol.mcmaster.ca/brian/evoldir/PostDocs//MontpellierU.ComparativeGenomics</p>
]]></description>
</item>

</channel>
</rss>