Let's consider making a new ExperimentHub package for the snRNA-seq LIBD data

[lcolladotor]

This would be similar to https://bioconductor.org/packages/release/data/experiment/html/scRNAseq.html or spatialLIBD::fetch_data() or http://bioconductor.org/packages/release/data/experiment/html/STexampleData.html by @lmweber.

It'd be great if we added the 6 SCE objects from Tran et al, Neuron, 2021 @mattntran. It would be 6 if we have 1 per brain region (5; I would use the same ones that we deployed with iSEE::iSEE(); check #80) and 1 combined; all published-level and not the pre-print ones. With recount2/recount3, users have liked being able to download just 1 GTEx tissue instead of all of them. I think that @mattntran might be interested in helping make this one with you Louise. Louise, you can lead with biocthis and then study some of the same ExperimentHub docs that @abspangler13 will check for #76.

Then we will also add the DLPFC snRNA-seq SCE object you'll make Louise.

Actually, it might be 2: the post QC SCE and the initial unfiltered raw one (same for the merged one by Tran et al 2021). The unfiltered one would be useful if other QC methods are made later though technically speaking, since we shared the FASTQ files & CellRanger outputs, the unfiltered objects can be easily remade. So I wouldn't prioritize the raw SCE objects.

Plus in the future other snRNA-seq datasets like Habenula (cc @joshtolz), LS (Matt), LC (Lukas & Matt), etc.

[lmweber]

This previous package (mentioned recently by @stephaniehicks) provides some nice examples of internally consistent dataset naming examples to consider: https://bioconductor.org/packages/release/data/experiment/vignettes/scRNAseq/inst/doc/scRNAseq.html

[lmweber]

(Just realized that is the same package @lcolladotor mentioned at the top)

[lcolladotor]

Replaced by https://github.com/LieberInstitute/spatialDLPFC/issues/76#issuecomment-1333368242