Missing feature types when converting mtx matrix to h5ad

[saraterzo]

Description of the bug

Just one note, the fact that sc.read_10x_h5(input) function in scrnaseq/modules/local/templates/mtx_to_h5ad_cellranger.py is written without the gex_only=False option prevents the reading of feature types such as antibody captures or peaks.
Default option is TRUE

Command used and terminal output

sc.read_10x_h5(input, gex_only=False)

Relevant files

No response

System information

No response

[grst]

Does it make sense to adjust that in #435?

In the standard h5ad object, I think I'd prefer only gene expression to be there. If someone needs they other features, they could use the mudata object.