Teams

Computational Biology lab at the University of Lausanne, department of computational biology (DBC). Member of the swiss institute of Bioinformatics.We aspire to better understand gene evolution and function, using statistical and computational methods. The key questions underlying our research are:How can we best extrapolate our current knowledge of molecular biology, concentrated in just a handful of model organisms, to the rest of life?Conversely, how can we exploit the wealth and diversity of ...

We develop, adopt and apply new genomics technologies, methods and algorithms to shed new light on the genome and improve the diagnosis of genomic disease.

Digital Platform for Animal Identification and Management in Uzbekistan

THE COMPANY OF THE FUTURE IS IN YOUR MIDST....

Workflows created as part of the Earth Biogenome Project Norway

A UCL-based initiative funded by the BBSRC to develop a agri-ecology specific pipeline community using nextflow and nf-core.

Our team focuses on advancing the field of Dependent Task Scheduling in edge computing environments. We specialize in modeling dependent tasks as Directed Acyclic Graphs (DAGs) to optimize resource allocation and improve overall system performance in edge computing scenarios. Our research encompasses:1. Development of novel scheduling algorithms for DAG-based tasks in edge computing2. Performance analysis and optimization of existing scheduling strategies3. Implementation and evaluation of DAG-based ...