rCASC: reproducible Classification Analysis of Single Cell sequencing data
Luca Alessandrì, Francesca Cordero, Marco Beccuti, Maddalena Arigoni, Martina Olivero, Greta Romano, Sergio Rabellino, Nicola Licheri, Gennaro De Libero, Luigia Pace, Raffaele Calogero
rCASC provides a reproducible RNA-seq analysis workflow for single-cell data, enabling functional and computational reproducibility from counts generation to cell sub-population signature identification.
GigaScience · Sep 1, 2019Peer-reviewedBioinformatics