R

A reusable strategy for extracting dynamic programs from time-course transcriptomic data with splines, clustering and module-level interpretation.

Hands-on training in ChIP-seq, ATAC-seq and MNase-seq analysis, from sequencing quality control to peak calling, normalization and functional interpretation.

Training in data visualization with R and ggplot, with emphasis on readable figures, exploratory analysis and reproducible communication of genomic data.