rCASC is a modular workflow providing an integrated environment for single-cell RNA-seq (scRNA-Seq) data analysis exploiting Docker containers to achieve functional and computational reproducibility. To allow the use of rCASC through a graphical user interface on the client side and to harness the many advantages provided by the Galaxy platform, rCASC is a now available as a Galaxy set of tools. A Galaxy instance provided by Laniakea has been used tools development, which are now available on a dedicated public instance named Galaxy-rCASC.
Galaxy-rCASC is available here.
The paper has been published on Methods in Molecular Biology as a book chapter and is available here.
To cite the paper:
Mandreoli, P., Alessandri, L., Calogero, R.A., Tangaro, M.A., Zambelli, F. (2023). Using "Galaxy-rCASC": A Public Galaxy Instance for Single-Cell RNA-Seq Data Analysis. In: Calogero, R.A., Benes, V. (eds) Single Cell Transcriptomics. Methods in Molecular Biology, vol 2584. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2756-3_16