RICOPILI is portable (https://docs.google.com/document/d/14aa-oeT5hF541I8hHsDAL_42oyvlHRC5FWR7gir4xco/) to various LINUX-based HPC environments {e.g. BSUB (https://docs.google.com/document/d/1fNFnC3-rBZkmtH47Je_yUfGatB9qhDGi9HtMSA3_MPw/), QSUB (https://docs.google.com/document/d/1oY5IA4a6yG_pmbvWJC8A6MTzjYoGzVlqQ_aXUwWCl8I/), SLURM, GCP [Google Cloud Platform (https://docs.google.com/document/d/115NAaH6c8_C6Gn7D5JTldfW0CMGwUOMhxqd1Sthku-E/)]} (Supplementary Section S7). Support for Docker (https://hub.docker.com/r/bruggerk/ricopili; https://github.com/vtrubets/ricopili_docker) implementation of RICOPILI is also underway. In the absence of an HPC environment, RICOPILI can use the full potential of multi-core machines with parallel optimization. Regular updates and maintenance of the pipeline are carried out to incorporate the latest advances in genetic association methods. Ongoing support includes an active user forum (https://groups.google.com/forum/#!forum/ricopili-user-group), support website (https://sites.google.com/a/broadinstitute.org/ricopili/home) and detailed tutorials written by current RICOPILI analysts (consult footnotes).
