Guidelines for Genome-Scale Analysis of Biological Rhythms.

Genome biology approaches have made enormous contributions to our understanding of biological rhythms, particularly in identifying outputs of the clock, including RNAs, proteins, and metabolites, whose abundance oscillates throughout the day. These methods hold significant promise for future discovery, particularly when combined with computational modeling. However, genome-scale experiments are costly and laborious, yielding "big data" that are conceptually and statistically difficult to analyze. There is no obvious consensus regarding design or analysis. Here we discuss the relevant technical considerations to generate reproducible, statistically sound, and broadly useful genome-scale data. Rather than suggest a set of rigid rules, we aim to codify principles by which investigators, reviewers, and readers of the primary literature can evaluate the suitability of different experimental designs for measuring different aspects of biological rhythms. We introduce CircaInSilico, a web-based application for generating synthetic genome biology data to benchmark statistical methods for studying biological rhythms. Finally, we discuss several unmet analytical needs, including applications to clinical medicine, and suggest productive avenues to address them.


Assimilation of breast milk

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Spontaneous folding and rolling of polymer films : a micromechanical phenomenon and a method of microfabrication

28.11.2017 11:00, 352 (Sciences II)

Valeriy Luchnikov (Institut de Science des Matériaux de Mulhouse (IS2M)).
hosted by: Aurélien Roux.


Our department hosts 12 research laboratories gathering close to 200 scientists, engineers and technical staff. Research topics cover a large variety of topics, such as developmental genetics and neurogenetics, regeneration, evo-devo, physics of biology, phylogenetics or anthropology.



Teaching life sciences at the University of Geneva is an important duty for all staff scientists. In addition to the bachelor programme, we also propose specific masters and PhD specialisations through various programmes.



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