workflows/rna/rna_singlesample
Description
Processing unimodal single-sample RNA transcriptomics data.
Input
Name | Type & Properties | Description |
|---|---|---|
--id | string required | ID of the sample. |
--input | file required | Path to the sample. |
--layer | string | Input layer to start from. By default, .X will be used. |
Output
Name | Type & Properties | Description |
|---|---|---|
--output | file required output | Destination path to the output. |
Filtering options
Name | Type & Properties | Description |
|---|---|---|
--min_counts | integer | Minimum number of counts captured per cell. |
--max_counts | integer | Maximum number of counts captured per cell. |
--min_genes_per_cell | integer | Minimum of non-zero values per cell. |
--max_genes_per_cell | integer | Maximum of non-zero values per cell. |
--min_cells_per_gene | integer | Minimum of non-zero values per gene. |
--min_fraction_mito | double | Minimum fraction of UMIs that are mitochondrial. Requires --obs_name_mitochondrial_fraction. |
--max_fraction_mito | double | Maximum fraction of UMIs that are mitochondrial. Requires --obs_name_mitochondrial_fraction. |
--min_fraction_ribo | double | Minimum fraction of UMIs that are ribosomal. Requires --obs_name_ribosomal_fraction. |
--max_fraction_ribo | double | Maximum fraction of UMIs that are ribosomal. Requires --obs_name_ribosomal_fraction. |
--skip_scrublet_doublet_detection | boolean_true | Skip the scrublet doublet detection step. |
Mitochondrial & Ribosomal Gene Detection
Name | Type & Properties | Description |
|---|---|---|
--var_gene_names | string | .var column name to be used to detect mitochondrial/ribosomal genes instead of .var_names (default if not set). Gene names matching with the regex value from --mitochondrial_gene_regex or --ribosomal_gene_regex will be identified as mitochondrial or ribosomal genes, respectively. |
--var_name_mitochondrial_genes | string | In which .var slot to store a boolean array corresponding the mitochondrial genes. |
--obs_name_mitochondrial_fraction | string | When specified, write the fraction of counts originating from mitochondrial genes (based on --mitochondrial_gene_regex) to an .obs column with the specified name. Requires --var_name_mitochondrial_genes. |
--mitochondrial_gene_regex | string | Regex string that identifies mitochondrial genes from --var_gene_names. By default will detect human and mouse mitochondrial genes from a gene symbol. |
--var_name_ribosomal_genes | string | In which .var slot to store a boolean array corresponding the ribosomal genes. |
--obs_name_ribosomal_fraction | string | When specified, write the fraction of counts originating from ribosomal genes (based on --ribosomal_gene_regex) to an .obs column with the specified name. Requires --var_name_ribosomal_genes. |
--ribosomal_gene_regex | string | Regex string that identifies ribosomal genes from --var_gene_names. By default will detect human and mouse ribosomal genes from a gene symbol. |
Run this component
Run the following command to execute this component with Nextflow:
cat > params.yaml <<'EOM'
id: "run"
output: "$id.$key.output.h5mu"
mitochondrial_gene_regex: [ "^[mM][tT]-" ]
ribosomal_gene_regex: [ "^[Mm]?[Rr][Pp][LlSs]" ]
publish_dir: "output/"
EOM
nextflow run https://packages.viash-hub.com/vsh/openpipeline.git \
-revision v4.0.0 \
-main-script target/nextflow/workflows/rna/rna_singlesample/main.nf \
-params-file params.yaml Relationships
Used by
1 relationships
Current component
workflows/rna/rna_singlesampleopenpipeline v4.0.0