Hi everyone,
I’m writing a package (biocViews SinigleCell) that converts files of the BUS
format (standing for Barcode, UMI, Set, see
https://www.biorxiv.org/content/early/2018/11/21/472571) into a sparse matrix
in R that can be used in Seurat and SingleCellExperiment. In order to write the
examples and the vignette, I’m also putting the data itself into a package for
ExperimentHub. The data used here are some mixed human and mouse cells from
10x. Here are my questions:
1. In the documentation for `ExperimentHubData::makeExperimentHubMetadata`,
the fields `RDataClass` and `DispatchClass` are required. However, this
accompanying dataset package is meant to download text files (generated by
command line tools outside R) to disk rather than into the R session, and it’s
the job of the SingleCell package to converts the text files into a sparse
matrix. There is a website documenting how the command line tools were used to
generate the text files. So is this dataset still appropriate for ExperimentHub?
2. If it is appropriate, then what shall I put in `RDataClass` and
`DispatchClass`?
Thanks,
Lambda
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