[Bioc-devel] scRNAseq upgrade: give us your single-cell data!

[Aaron Lun]

We have recently repurposed the scRNAseq package to serve as a general 
location for any publicly available single-cell count data. The aim of 
this package is to provide convenient functions that directly yield 
nicely formatted SingleCellExperiment objects containing count matrices 
and relevant metadata, via BioC's ExperimentHub system for easy and 
rapid access anywhere in your computer. Our USP compared to other 
single-cell data packages is that we'll take anything - and, in fact, 
the more customized the original data is, the more we want it!

So, if you find an interesting public dataset that has been - ahem - 
"imaginatively" formatted by the original authors, we would welcome a 
contribution to the scRNAseq package to make the count data nice and 
pretty. This will save other members of the R/Bioconductor community 
from pulling their hair out (there's not much left!) if they want to 
make use of that data. Contribution guidelines are described in the 
scRNAseq vignette at 
http://bioconductor.org/packages/devel/data/experiment/html/scRNAseq.html, 
and if you more-or-less follow the suggestions, we can do the rest 
pretty quickly.

So, give us your tired, your poor, your huddled datasets yearning to 
breathe free!

-A & D