Motif Activity Response Analysis (MARA) is a powerful method that automatically infers the most important regulatory interactions acting in a given biological system of interest from either gene expression or chromatin state data. It takes as input either gene expression (i.e. RNA-seq or micro-array), chromatin accessibility (i.e. ATAC-seq or DNase-seq) or epigenome (i.e. ChIP-seq of histone modifications), typically in the form of raw sequencing data files, and then models these data in terms of computationally predicted transcription factor binding sites. In this way, the method infers the key regulators acting in the system of interest, how they change their activity across the input samples, the genomic target regions and genes of each regulator, and so on. MARA analysis has been completely automated and is provided through two online tools: ISMARA and CREMA.

This webinar introduces the ISMARA tool, the theory behind the modelling approach and the results that are obtained. The video was recorded live during the SIB course streamed on August 30, 2024.

Target audience: 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.

Speaker: Erik van Nimwegen, Genome Systems Biology group

Any question about this talk? Contact SwissRegulon at [ Ссылка ]

Links:

ISMARA: [ Ссылка ]

SwissRegulon Portal: [ Ссылка ]

Genome Systems Biology group: [ Ссылка ]

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