Genomes & Genetics

Didier Mazel


The Genomes and Genetics Department was formed in 2006, mainly from the teams of the Structure and Dynamics of Genomes Department led by Bernard Dujon.

The department has a staff of 170, working in 13 research structures, 4 technological platforms housed in the Institut Pasteur Genopole, and 6 associated research groups. The teams explore experimental and informatics approaches to determine the nature of genetic information in organisms of increasing complexity, ranging from bacteria and yeasts to humans.

Teams in the Genomes and Genetics Department work in 4 main areas:

  • Evolutionary genomics
  • The Three R’s (Recombination, Replication and Repair)
  • Functional and regulatory networks
  • Host–pathogen interactions

The teams use the full range of genomic and post-genomic approaches to study the various models that can be bacteria (chiefly tuberculosis bacilli, Streptococci, Vibrio, and Legionella), yeasts (Saccharomyces cerevisiae, Schizosaccharomyces pombe, and Candida albicans) or human models. The different pathogenic and model organisms are studied in depth with the aim of understanding how they live and what determines their pathogenic potential. Yeasts are studied, both for their own sake and as archetypes to facilitate our understanding of human genetics.

The department is also investigating the evolution of infectious agents and the selective pressures they have exerted on human genes over time.

The progress of these different research programs benefits greatly from developments in new sequencing and genotyping techniques which we are closely involved in given our links with the Institut Pasteur Genopole.

The Genomes and Genetics Department is also developing major in silico approaches in biological system modeling and bioinformatics analysis in addition to its own research projects and providing support to the Institut Pasteur’s various research structures in conjunction with the CIB.

The department was led by Antoine Danchin between 2006 and 2009.




Jeudi 8 octobre 2015 à 11 H 00

Salle Jean-Paul Aubert, rdc bâtiment Fernbach

« Histology informatics: dissecting breast tumour spatial and molecular heterogeneity»


Yinyin YUAN


Centre for Evolution and Cancer, The Institute of Cancer Research, London

Division of Molecular Pathology, The Institute of Cancer Research, London

Centre for Molecular Pathology, The Royal Marsden Hospital, London


Tumours develops and evolves in a complex network of neoplastic and normal cells. Understanding how these cells orchestrate in this tumour ecosystem and co-evolve is key to understanding cancer and how drug resistance is acquired. I will discuss the development of histology image analysis technologies in my lab to automatically identify millions of cancer and microenvironmental cell types within in tumours, how we use morphological analysis, spatial statistics and ecological methods to map the spatial and morphological heterogeneity of 1,000 breast tumours, leading to the identification of new histology patterns that predict patient survival and molecular drivers. Our aims are to develop new tools for integrative analysis of histology images and omics data, to understand cancer-stromal interaction as an ecosystem, and to develop objective methodologies for directing cancer therapeutic strategies.


  • Cnrs-Q