Hi #CE9MS66BSsters, regarding the proposed work on binning recommendations and best practices, I would like to know your opinions on three approaches. 1. Go off of the literature and only summarize expected behavior, no changes to defaults 2. Actually run the binners on some synthetic CAMI dataset, report the benchmarks, change defaults based on speed. 3. Include benchmarking in dependence on data input size. Enables more elaborate decision tree of recommendations. Third seems like a research proj beyond my compute, so it is almost discarded. Thank you

I agree, 3 too much work for volunteers. 2 sounds reasonable if you have time/computing power!