genomicconsensus

One doesn't need CCS anymore, though it is still an option for shorter insert lengths. The errors are more random than other platforms, so they resolve easily with consensus. You just need 20x coverage or more, depending upon the application. With enough coverage you generally get better accuracy than any other platform because it's the least biased technology. CCS still works really well if you want incredibly high accuracy. See this paper and figure 3 for Q90 quality reads: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3811116/ But most people don't need that for their applications. So just regular consensus using PacBio data alone is sufficient for excellent (Q60 or better) consensus accuracy: https://github.com/PacificBiosciences/GenomicConsensus/blob/...

I don't think they push CCS much anymore. The focus seems to be on generating long reads and then using Quiver to call the consensus (https://github.com/PacificBiosciences/GenomicConsensus/blob/...).