percentage_feature_set
Adds a metadata variable that shows the perentage of a cell’s data that originates from features that match a regex.
moduleInputs
Channel name | Description | Type |
---|---|---|
opt | A map of task-specific variables. | map |
tag | A unique identifier to use in the tag directive. | string |
assay | The name of the assay from which percentages should be calculated. | string |
feature_sets.yaml | YAML-formatted file of gene feature(s) or regular expression(s) where the YAML key dictates output column name. | file |
seurat.rds | A Seurat object that contains features listed in feature_sets.yaml . | file |
Outputs
Emission name | Description | Type | Filename pattern |
---|---|---|---|
opt | A map of task-specific variables. | map | |
task | YAML-formatted file of task parameters and software versions used by the task. | file | task.yaml |
seurat | A Seurat object written to RDS file with additional metadata varaibles for feature(s) listed in feature_sets.yaml . This may change to provide a data frame that can be collated with other similar results. | file | seurat.rds |
Tools
r
R is a free software environment for statistical computing and graphics.
Homepage Documentationseurat
Seurat is an R package designed for QC, analysis, and exploration of single-cell RNA-seq data. Seurat aims to enable users to identify and interpret sources of heterogeneity from single-cell transcriptomic measurements, and to integrate diverse types of single-cell data.
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