Webinar: ISMARA and CREMA: automatically inferring gene regulatory networks from gene expression, chromatin accessibility or epigenome data
This course is aimed at PhD students, post-docs and researchers in life sciences wanting to make computational inferences about gene regulation from gene expression data, chromatin accessibility and epigenetic mark data. The course is targeted to a wide audience ranging from computational biologists and bioinformatics researchers who regularly analyse transcriptome and epigenome data, to experimental researchers interested in inferring key regulatory interactions in their own data.
Application deadline: 28 August 2024
Date: 30 August 2024