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Hi all, <br>
<br>
Here is a post doc offer (16 months) in Inria, Rennes, France. We
look forward to receiving your application!<br>
<br>
<div class="entry-content clearfix">
<h4>Post Doc</h4>
<ul>
<li> starting date: as soon as possible</li>
<li> where: INRIA, Rennes, GenScale team</li>
<li> duration: 16 months </li>
</ul>
<h4>Description</h4>
<p>GenScale main objective is to develop original methods to
process the high volumes of data generated by NGS (Next
Generation Sequencing) technologies. In the IPL Neuromarkers
framework, we propose to perform a large scale analysis of
exomes (coding region of the genome) from healthy participants
and patients with neurodegenerative diseases to first detect
small genomic variants related to these diseases using the
DiscoSNPs tool. This software takes as input several datasets
(here patient exomes) and detect all possible genomic variations
between individuals such as SNPs (Single Nucleotide
Polymorphism) or small indels (insertion and deletions). Then,
in a second step, a GWAS (Genome-Wide Analysis Study) analysis
will be applied in order to find correlation between groups of
SNPs/indels and diseases. A new method based on data-mining
techniques, and developed by the GenScale and Lacodam Inria
teams during the PhD thesis of Pahm Hoang Son (2017), will be
used and adapted for this specific case.</p>
<h4>Partners involved</h4>
<p>GenScale (Inria), Aramis (Inria), iCONICS bioinformatics
platform (ICM), JC Corvol (Parkinson, ICM), M.-C. Potier, B.
Dubois, H. Hampel (Alzheimer, ICM)</p>
<h4> Contact</h4>
<p>D. Lavenier (<a class="moz-txt-link-abbreviated" href="mailto:lavenier@iria.fr">lavenier@iria.fr</a>)</p>
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