Binning

Conversion of (pre-processed) expression count data into relative values (bins) to address scale differences across sequencing batches

Info

ID: binning
Namespace: scgpt

Example commands

You can run the pipeline using nextflow run.

View help

You can use --help as a parameter to get an overview of the possible parameters.

nextflow run openpipelines-bio/openpipeline \
  -r 2.1.0 -latest \
  -main-script target/nextflow/scgpt/binning/main.nf \
  --help

Run command

Example of params.yaml
# Inputs
input: # please fill in - example: "input.h5mu"
modality: "rna"
# input_layer: "foo"
var_input: "id_in_vocab"
n_input_bins: 51

# Outputs
# output: "$id.$key.output.h5mu"
# output_compression: "gzip"
output_obsm_binned_counts: "binned_counts"
# seed: 123

# Nextflow input-output arguments
publish_dir: # please fill in - example: "output/"
# param_list: "my_params.yaml"

# Arguments
nextflow run openpipelines-bio/openpipeline \
  -r 2.1.0 -latest \
  -profile docker \
  -main-script target/nextflow/scgpt/binning/main.nf \
  -params-file params.yaml
Note

Replace -profile docker with -profile podman or -profile singularity depending on the desired backend.

Argument groups

Inputs

Name Description Attributes
--input Input h5mu file. file, required, example: "input.h5mu"
--modality string, default: "rna"
--input_layer Mudata layer (key from .layers) to use as input data for binning. If not specified, .X is used. string
--var_input The name of the adata.var column containing boolean mask for vocabulary-cross checked and/or highly variable genes. string, default: "id_in_vocab"
--n_input_bins The number of bins to discretize the data into. When no value is provided, data won’t be binned. integer, default: 51

Outputs

Name Description Attributes
--output The output h5mu file containing the binned data. file, required, example: "output.h5mu"
--output_compression The compression algorithm to use for the output h5mu file. string, example: "gzip"
--output_obsm_binned_counts The name of the adata layer to write the binned data to. string, default: "binned_counts"
--seed Seed for random number generation. integer

Authors

  • Dorien Roosen (maintainer, author)

  • Elizabeth Mlynarski (author)

  • Weiwei Schultz (contributor)