Jacques Rougemont
 
Jacques Rougemont Contact
Jacques Rougemont
Bioinformatics & Biostatistics Core Facility
School of Life Sciences
EPFL SV PTECH PTBB
AAB 0 25 (Bâtiment AAB)
Station 15
1015 Lausanne
Switzerland
Phone : +41 21 693 9573
Email : Jacques.rougemont@epfl.ch

Jacques Rougemont studied Mathematics and Physics at the University of Geneva and obtained a PhD in Mathematical Physics in the group of Jean-Pierre Eckmann in 1999. He then did postdoctoral training in Applied Mathematics in Edinburgh (1999-2002) and in Bioinformatics in Marseilles (2002-2004). He then joined Vital-IT and the Swiss Institute of Bioinformatics in Lausanne, Switzerland, as a computer analyst and genomics scientist. In 2007, he became head of the Bioinformatics and Biostatistics Core Facility of the EPFL School of Life Sciences, providing support and training for statistical analysis and data processing related to high-throughput genomics technologies. Jacques Rougemont is a group leader at the Swiss Institute of Bioinformatics since 2009.
 
Current research
The group's recent activity has been focused on Ultra-high Throughput Sequencing (Illumina Genome Analyzer) with applications to RNA-seq, ChIP-seq, whole-genome sequencing and targeted re-sequencing. It has developed statistical methods, software and web-based management tools to streamline the visualization and interpretation of these dense genome-wide datasets. (More info: http://bbcf.epfl.ch)

Keywords
bioinformatics, biostatistics, data management, genomics, mathematical modelling.
 
Role within the CycliX Consortium
 
Within the CycliX project, the Bioinformatics and Biostatistics Core Facility will develop a pipeline to analyze raw ChIP-seq data by mapping good-quality reads to the reference genome, identify and annotate the extent and locations of protein binding, and quantify the variation of regulatory activity during the cycles. The Facility will also contribute to the development of mathematical models relevant for the interpretation of experimental data.
 
 
Relevant publications:
 
Gattiker et al. MIMAS 3.0 is a Multiomics Information Management and Annotation System. BMC Bioinformatics (2009) vol. 10 (1)

Nikolaev et al. Detection of genomic variation by selection of a 9 mb DNA region and high throughput sequencing. PLoS ONE (2009) vol. 4 (8)

Rougemont et al. Probabilistic base calling of Solexa sequencing data. BMC Bioinformatics (2008) vol. 9 (1)

Rougemont and Naef. Dynamical signatures of cellular fluctuations and oscillator stability in peripheral circadian clocks. Mol Syst Biol (2007) vol. 3

Rougemont and Naef. Stochastic phase oscillators and circadian bioluminescence recordings. Cold Spring Harb Symp Quant Biol (2007) vol. 72

Rougemont and Naef. Collective synchronization in populations of globally coupled phase oscillators with drifting frequencies. Physical review E (2006) vol. 73