Bioinformatics analysis of genomic data on the green microalgae Chlamydomonas
The focus of the research consists in the theoretical analysis of high throughput genomic,
proteomic and metabolomic data from the green microalgae Chlamydomonas submitted
to variable conditions of growth. The research is part of a multidisciplinary European
project, the FP7 FET open project BAMBI, that gathers theorists and experimentalists.
The project aims at understanding information processing in biological systems. Strong
interaction with the experimental groups will take place.
The high throughput analysis will be based on surprisal analysis, an information theory
methodology grounded in thermodynamics. For more information on surprisal analysis
applied to high throughput genomic data, see Remacle, F.; Kravchenko-Balasha, N.;
Leviztski, A.; Levine, R. D., Information-Theoretic Analysis of Phenotype Changes
in Early Stages of Carcinogenesis. Proc. Natl. Acad. Sci. USA 2010, 107, 1032410329. Zadran, S.; Remacle, F.; Levine, R. D., miRNA and mRNA cancer signatures
determined by analysis of expression levels in large cohorts of patients. Proc. Natl.
Acad. Sci. USA 2013, 110, 19160-19165.
The applicant will have expertise in the currently available bioinformatic analysis tools
and in the analysis of high throughput data. Good programming abilities are also required
for developing codes and interfaces for users.
The position is available from January 1st, 2014.
To apply, please send a CV and a motivation letter by email to Prof. Francoise Remacle.
fremacle@ulg.ac.be