[Bioc-devel] Question on prospective Bioc package
SUTIRTHA CHAKRABORTY
@ut|rth@_@ut|r @end|ng |rom y@hoo@co@|n
Wed Feb 22 10:55:18 CET 2023
Seems like this would be a great contribution.
Best Regards
Sutirtha
On Wednesday, 22 February 2023, 03:02:52 PM IST, Wolfgang Huber <wolfgang.huber using embl.org> wrote:
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 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!
>
> Sincerely,
> Greg
>
>
>
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