Teachings & Tutorials
Some tricks and tips.
R Programming
R Programming course for the Computational Approaches for Omics class @ Biomedical Omics. The course is the result of long-lasting collaboration with Dr Fabio Iannelli and Dr Uberto Pozzoli (IRCCS Medea Bosisio).
RP tutorial →Computational Approaches for Omics
Introduction to Computational Biology approaches for omics. Students learn the computational language R for the analysis of sequencing data, including manipulation and visualization of biological data. With M. Grieco, T. Becchi.
CAfO course →Bioinformatics and Data Science for Biology
Introduction to bioinformatics techniques for biology. Students learn the computational language R for the analysis of sequencing data, including manipulation and visualization of biological data. With M. Grieco, T. Becchi, and Dr S. Peirone.
BDSB course →Artificial Intelligence
AI analyses in R on TCGA data. From our review on learning approaches for large-scale RNA-sequencing datasets in cancer to disentangle tumor heterogeneity for precision oncology.
AI tutorial →RNAmotifs 2.0
Hands-on tutorial for RNAmotifs, our method that evaluates the sequence around differentially regulated alternative exons to identify clusters of short and degenerate sequences, the multivalent RNA motifs bound by RNA-binding proteins.
RNAmotifs 2.0 tutorial →