Dear all,

We are organizing an online course on Epigenomics Data Analysis (13–17 April), focused on practical workflows for analyzing regulatory genomics data.

The course covers end-to-end analysis of:

• RNA-seq

• ATAC-seq / MNase-seq

• ChIP-seq

• Hi-C

• Multi-Omics Integration

Participants will go from raw sequencing data to downstream analyses, including differential expression, peak calling, motif analysis, chromatin interaction analysis, and multi-omics integration.

The training is hands-on, using bash and R/Bioconductor, with real datasets and reproducible workflows.

Who is it for? Researchers with a biology background and some familiarity with NGS data formats, R, and the Unix command line.

Key topics:

• QC, alignment, and preprocessing

• Functional interpretation of epigenomic data

• Integration of multiple data types

More info & registration: https://www.physalia-courses.org/courses-workshops/course59b/

Happy to answer any questions!

Best,

Carlo