Host laboratories in Bioinformatics

Show all Hide all

CIG - Center for Integrative Genomics

	Structure, function and evolution of chemosensory systems. Richard Benton lab
	Our research aims at understanding, through genomic approaches, how the interplay between various transcription factors and the corresponding regulatory networks, controls metabolic homeostasis in physiological and pathological conditions. The liver and white adipose tissue (WAT), which are important organs with respect to energy balance, are the main targets of our studies. Béatrice Desvergne lab
	Reseach in the Franken lab focusses on the genetics and energetics of sleep homeostasis and circadian rhythms in the mouse using a variety of –omics (transcriptome, metabolome, epigenome, microRNAs), behavioral (activity, qEEG), imaging (life imaging of gene expression), and modelling techniques. Paul Franken lab
	Our group explores the molecular mechanisms and physiological functions of biological timekeeping by circadian clocks in mammals. David Gatfield lab
	Regulation of gene transcription in the control of mammalian cell proliferation and differentiation. Winship Herr lab
	Influence of genome structure on phenotypes. Alexandre Reymond lab
	I am interested in understanding how ecosystems of microbes evolve over time, and how they are shaped by the interactions taking place between individual microbial cells. Andrzej Stasiak lab

DEE - Department of Ecology and Evolution

We try to understand how the interplay of population structure, trait architecture, and selection affect evolutionnary processes. For this, we use different approaches, from theory and the development of statistical tools to data mining and field observations.

Jérôme Goudet lab

We link genome evolution with evolution of development, using bioinformatics.

Marc Robinson-Rechavi lab

© Images from Wikimedia Commons

DCB - Department of Computational Biology

	We are interested in applying computational methods and evolutionary modeling to test hypotheses about the evolution and adaptation of species using both genmic, phenotypic and ecological data. Nicolas Salamin lab
	We develop and apply methods for the integrative analysis of large-scale biological and clinical data, as well as small regulatory systems. Sven Bergmann lab
	We work on molecular genetics and genomics of hereditary retinal degeneration, an area of research that is a paradigm for both medical genetics and neurodegenerative conditions. Carlo Rivolta lab
	Our research by combines the predictive power of computational biology with extensive genetic and molecular analysis of candidates and aims to understand what are the contributions to homeostasis, phenotypic variation and disease of long noncoding RNAs (lincRNAs). Ana Marques lab

DMF - Department of Fundamental Microbiology

We study microbial symbiosis with a focus on gut microbiota-host interactions. Our current work is centered on honey bees and related social bee species.

Philipp Engel lab

Our group is interested in understanding how ecosystems of microbes evolve over time, and how they are shaped by the interactions taking place between individual microbial cells, strains and species.

Sara Mitri lab

IMUL - Institute of Microbiology

Our lab aims at better understanding HIV life cycle and its interactions with the human cell, in order to identify novel strategies to eradicate HIV as well as to develop new tools for gene therapy and lab applications.

Angela Ciuffi lab

IUMSP - Institute of Social and Preventive Medicine

Development of statistical methods for the better understanding of the genetic architecture of complex traits.

Zoltan Kutalik lab

LICR@UNIL - Ludwig Center for Cancer Research of the UNIL

We are developing new computational approaches to study the relationship between immune and cancer cells in tumors and how this could help optimizing immunotherapy treatments.

David Gfeller lab

SIB - Swiss Institute of Bioinformatics

In the Bioinformatics Core Facility BCF of UniL-SIB we entertain a broad range of collaborations and of bioinformatics activities with a focus on statistical-epidemiological methodology for OMICS data and on applications in medicine and oncology (explorative analyses, prognostic and predictive biomarkers, personalized medicine).

Mauro Delorenzi lab

Computer-aided protein engineering and drug design for cancer therapy.

Olivier Michielin lab

Consulting for the life and medical research on bioinformatics and computational biology, from infrastructure to analysis methods.

Ioannis Xenarios lab