params.json and checkpoint sample files

google / deepconsensus

DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

BSD 3-Clause "New" or "Revised" License

222 stars 37 forks source link

params.json and checkpoint sample files #21

Closed peterdfields closed 2 years ago

peterdfields commented 2 years ago

Hi,

I'm interested in running deepconcensus on a couple of different HiFi projects. I'm able to setup and run the sample datasets on CPU and GPU. The problem arises when I try to run my own datasets, in that the guidelines for deepconcensus do not describe how to create the param.json or checkpoint files which are needed for running deepconcensus run. I might be missing something though. Please let me know if I can provide any additional information for troubleshooting my issue.

peterdfields commented 2 years ago

My mistake, I see this point was covered in https://github.com/google/deepconsensus/issues/11.