Closed TingTingShao closed 6 months ago
Solved!
sample_names, = glob_wildcards("snATAC/{name}.fragments.tsv.gz")
rule all:
input:
h5ads=expand(
"010h5ad/{name}.h5ad",
name=sample_names),
# Import data
rule import_data:
input:
frags="snATAC/{name}.fragments.tsv.gz",
output:
h5ad="010h5ad/{name}.h5ad",
run:
import snapatac2 as snap
adatas = snap.pp.import_data(
input.frags,
file=output.h5ad,
chrom_sizes=snap.genome.hg38,
sorted_by_barcode=False,)
Simply treat them one by one.
Regards, tingting
Dear,
I successfully ran the workflow in Jupyter notebook, and I plan to develop the pipeline in Snakemake
sample_names, = glob_wildcards("snATAC/{name}.fragments.tsv.gz")
But the error shows: import_data() got multiple values for argument 'chrom_sizes' I double-checked, it ran smoothly in the Jupyter notebook.
Any thoughts on this?
Thanks! tingting