Launch the analysis#

Be sure that your configuration.yaml file is completed and stored in the /workdir/ directory of the container. Then, from the /workdir/ directory, please type the following command:

orfribo CPU_NUMBER MEMORY_AMOUNT

Where CPU_NUM is the number of CPU/threads and MEMORY_AMOUNT is the amount of memory (in Giga-Bytes) that can be used for the analysis.

Example for 6 CPUs and 12GB memory use:

orfribo 6 12

One step of the analysis is done by the riboWaltz tool which can need high RAM resources depending on your data. If the pipeline crashes without any obvious reason, it might be because of a lack of memory available.