Hi folks, thanks for releasing this exciting and wonderful pipeline! 🤩 For a cost estimation of a research proposal, I need an idea of the size of the output files and the work directory files generated when running the pipeline with 20 samples, totaling 60 TB of input file size. Is there a standard output-to-input ratio that could help me calculate this if I keep the pipeline parameters default? Regarding compute power, if I decide to use Azure Batch as the executor, which VM size would you recommend? Since completing the analysis quickly is my top priority, how many VMs would you suggest using for the run? Additionally, do you have an estimate of how long it might take with the recommended VM count and type?

If you're a Nanopore customer, and your local data policies allow it, you can use our wf-single-cell workflow for free in EPI2ME cloud. We're looking to extend functionality with feedback from users.

Hi, thank you for the interest! We are actually in the process of testing a patch that would impact these questions by introducing OARFISH as a transcript quantification tool that can be chosen by the user in place of or in addition to our current quantifier, IsoQuant. What is the timeline you have for needing answers to this question?