This RNAseq data analysis tutorial is created for educational purpose

Explore biomolecular pathways in Reactome from the command-line or a Python script

Gene Set Clustering based on Functional annotation

Research into statistical distributions of genomes, proteomes and reactomes

FunMappOne: a tool to summarize and visually navigate functional categories in multiple experiments.

Deposited R scripts allow to execute a complete RNA-seq Pipeline, starting from sequence reads (FASTQ files) to mapping/annotate the genome using a reference, to counts the number of reads for every gene. when raw counts are obtained, DESeq2 module permits to find differentially expressed genes (DEG) and to perform statistical analysis. The last…

A set of GO-CAMs built automatically from Reactome pathways.

Custom radial layout algorithm to visualise Reactome pathways in a space-filling graph

Understanding the Molecular Interface of Cardiovascular Disease and COVID-19: A Data Science Approach