This webinar which is part of a series arising from the 2023-SYBEL Commissioned Service was presented by the ELIXIR Systems Biology Community, starting with an introduction to the Community by the John Hancock, one of the Community Co-leads.
Signal/noise ratio characterization and annotation of multi-omics experiments: pending tasks in Systems Biology
Presented by Ana Conesa
Over the last decade, a wealth of multiomics data has been produced and jointly analyzed to improve biomedical predictions and infer regulatory networks. Although numerous methods have been developed for the analysis and integration of these data, two aspects have been consistently overlooked: the detailed characterization of differences in signal-to-noise ratios across omics methods and their impact on experimental design and conclusions, as well as the controlled annotation of multiomics data to ensure reproducibility and the correct application of statistical assumptions. I will present the efforts of my lab to address both fronts, represented by two software tools, MultiPower (PMID: 32555183) and STATEgraEMS (PMID: 25033091). My goal is to foster discussions on how the ELIXIR SB community can advance the state of the field in these areas.
The recording of this event will be uploaded to the ELIXIR Europe Youtube channel