Dear Bioconductor Developer team, I�m part of a team at the NCI that is looking at developing a Bioconductor package, but I want to be sure it is a good fit with the goals of the Bioconductor project.
The core of the package is a custom data object that allows users to query predicted drug performance based on target gene, whether wild-type or mutant, or to query predicted gene target fitness by drug. The data object is precomputed based on a variety of sources, and we include methods to modify the object based on custom data provided by the user. If a more detailed dive would help, here is the preprint of the accompanying paper: Link<https://www.biorxiv.org/content/biorxiv/early/2022/10/19/2022.10.17.512424.full.pdf> I think this tool will offer good impact and utility for researchers. Its predictions are well-validated and it offers a novel method for examining drug performance on various cancers. However, given the simplicity of this tool, would it be a good fit for the Bioconductor project? I would appreciate your opinion. We will be developing it into a package hosted on GitHub either way. Thank you for your time! Sincerely, Greg [[alternative HTML version deleted]]
_______________________________________________ Bioc-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/bioc-devel
