Dear Greg This sounds like a typical use case for a Bioconductor package. Simplicity is a not a bad thing—robust, well-engineered building blocks that do one thing really well are IMHO often more useful to many than big integrated complex jack of all trades.
Thanks and best wishes Wolfgang > Il giorno 17.02.2023, alle ore 18:26, Flanigan, Greg (NIH/NCI) [C] via > Bioc-devel <bioc-devel@r-project.org> ha scritto: > > 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 _______________________________________________ Bioc-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/bioc-devel
