Systems Bioinformatics (SysBio) incorporates systems biology approaches to characterize complex biological interactions from a holistic perspective. Our team provides Institut Pasteur’s (IP) scientific community high level bioinformatics expertise in large-scale multi-omics data analysis derived from diverse high throughput technologies (e.g. genomics, transcriptomics, proteomics, and metabolomics). Our methods and pipelines allow to address complex study designs integrating multiple technologies, samples, donors, time points, experimental protocols and treatments. This approach offers unprecedented opportunities for disentangling the molecular mechanisms of biological systems, helping scientists uncover complex genotype-phenotype relationships at different scales. Yet, it requires developing robust statistical and bioinformatic tools for the integration of diverse data types, each characterized by intrinsic sources of technical and biological noise. Laying in the intersection between systems biology and bioinformatics, our main areas of expertise include:
- graph and network theory
- statistical inference
- probabilistic models
In addition to these services and research activities, we are highly involved in the dissemination of bioinformatics and biostatistics knowledge, including co-organizing IP’s Department of Computational Biology seminars, organizing international workshops and providing trainings for the PhD courses, and for the Institut Pasteur International Network (RIIP).
Check out our past meetings here:
- From gene expression to regulation networks (24.09.2020)
- Application of deconvolution tools on RNA-Seq data (03.06.2021)