‘From raw data to ID’, a session on data processing and analysis of multi-omics data

News

‘From raw data to ID’, a session on data processing and analysis of multi-omics data

Share: FacebookTwitterInstagram
From raw data to ID

September 2020.- Members of the Center of Omics Sciences of Eurecat and URV (COS), part of OmicsTech, explained in the course ‘From raw data to ID’ that multi-omics studies require a rigorous computational processing and analysis, which are the cornerstones that enable the subsequent data integration and biological interpretation.

COS researchers Xavier Domingo-Almenara, Adrià Ceretó-Massagué and Sara Martínez de Crispán, covered metagenomics, RNA-seq and metabolomics data analysis with the aim of retrieving molecular identities from raw data. The course also included hands-on sessions on the use of software like Qiime or XCMS, and processing workflows in R. Particularly, and with an ever-growing research community, metabolomics is in high demand by biologists and clinicians thanks to its unique ability to pinpoint molecular mechanism.

The online course that took place on the 7th of September, was part of the Postgraduate course ‘Multiplatform-omics data analysis in nutrigenomics studies’ of NuGo and aimed to cover the main basics of multi-omics analysis, from raw data to pathway analysis.