Prot singlesample
Processing unimodal single-sample CITE-seq data.
Info
ID: prot_singlesample
Namespace: multiomics
Links
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 0.10.0 -latest \
-main-script ./workflows/multiomics/prot_singlesample/main.nf \
--helpRun command
Example of params.yaml
# Input
id: # please fill in - example: "foo"
input: # please fill in - example: "dataset.h5mu"
# Output
# output: "$id.$key.output.h5mu"
# Filtering options
# min_counts: 200
# max_counts: 5000000
# min_proteins_per_cell: 200
# max_proteins_per_cell: 1500000
# min_cells_per_protein: 3
# min_fraction_mito: 0
# max_fraction_mito: 0.2
# Nextflow input-output arguments
publish_dir: # please fill in - example: "output/"
# param_list: "my_params.yaml"nextflow run openpipelines-bio/openpipeline \
-r 0.10.0 -latest \
-profile docker \
-main-script ./workflows/multiomics/prot_singlesample/main.nf \
-params-file params.yaml
Note
Replace -profile docker with -profile podman or -profile singularity depending on the desired backend.
Argument groups
Input
| Name | Description | Attributes |
|---|---|---|
--id |
ID of the sample. | string, required, example: "foo" |
--input |
Path to the sample. | file, required, example: "dataset.h5mu" |
Output
| Name | Description | Attributes |
|---|---|---|
--output |
Destination path to the output. | file, required, example: "output.h5mu" |
Filtering options
| Name | Description | Attributes |
|---|---|---|
--min_counts |
Minimum number of counts captured per cell. | integer, example: 200 |
--max_counts |
Maximum number of counts captured per cell. | integer, example: 5000000 |
--min_proteins_per_cell |
Minimum of non-zero values per cell. | integer, example: 200 |
--max_proteins_per_cell |
Maximum of non-zero values per cell. | integer, example: 1500000 |
--min_cells_per_protein |
Minimum of non-zero values per gene. | integer, example: 3 |
--min_fraction_mito |
Minimum fraction of proteins that are mitochondrial. | double, example: 0 |
--max_fraction_mito |
Maximum fraction of proteins that are mitochondrial. | double, example: 0.2 |
Visualisation
flowchart LR
p0(Input)
p3(toSortedList)
p5(flatMap)
p12(filter_with_counts)
p14(join)
p22(do_filter)
p24(join)
p30(toSortedList)
p32(Output)
p0-->p3
p3-->p5
p5-->p14
p5-->p12
p12-->p14
p14-->p24
p14-->p22
p22-->p24
p24-->p30
p30-->p32