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…
Custom radial layout algorithm to visualise Reactome pathways in a space-filling graph
A set of GO-CAMs built automatically from Reactome pathways.
Understanding the Molecular Interface of Cardiovascular Disease and COVID-19: A Data Science Approach
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