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There are some Stereo-seq datasets online (https://doi.org/10.1016/j.cell.2022.04.003 and https://db.cngb.org/stomics/mosta/download.html) that would be interesting to also process and segment.
The other steps should be dataset data format independent.
The text was updated successfully, but these errors were encountered:
Stereo-seq is already supported, but we may need to check if it is documented well enough.
For example, for loading the transcripts the user might need to specify specific csv reading options which might not be obvious, like this:
# kwargs specifies parameters for reading stereoseq .gem files (ultimately via pandas read_csv()) kwargs = { "column_x": 1, "column_y": 2, "column_gene": 0, "column_midcount": 3, "delimiter": "\t", "header": 0, "comment": '#', "overwrite": True } sdata = sp.io.read_transcripts(sdata, os.path.join( path, "XXXXXXX.tissue_test.gem" ), **kwargs)
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There are some Stereo-seq datasets online (https://doi.org/10.1016/j.cell.2022.04.003 and https://db.cngb.org/stomics/mosta/download.html) that would be interesting to also process and segment.
The other steps should be dataset data format independent.
The text was updated successfully, but these errors were encountered: