[Bioc-devel] Question on prospective Bioc package
wo||g@ng@huber @end|ng |rom emb|@org
Wed Feb 22 10:32:08 CET 2023
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
> Il giorno 17.02.2023, alle ore 18:26, Flanigan, Greg (NIH/NCI) [C] via Bioc-devel <bioc-devel using 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!
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