Support homeCell Ranger ARCAnalysis
Understanding Outputs
You’re viewing an older version of the Cell Ranger ARC documentation.

Understanding Outputs

Cell Ranger ARC strives to maintain compatibility with common analysis tools by using standard output file formats whenever possible. The Chromium-specific data, including cellular and molecular barcodes, can be accessed by third-party tools or scripts that can parse the additional elements utilized by Cell Ranger ARC.

All pipeline outputs are produced in a single pipeline output directory, which is specified by the --id argument for both cellranger-arc count and cellranger-arc mkfastq (defaults to the flow cell serial number, e.g., HAWT7ADXX when the --id argument is not specified).

Output files will appear in the outs/ subdirectory within this pipeline output directory. For example:

├── analysis │ ├── clustering │ │ ├── atac │ │ │ ├── peaks_graphclust │ │ │ │ ├── clusters.csv │ │ │ │ ├── differential_accessibility.csv │ │ │ │ └── differential_expression.csv │ │ │ ├── peaks_kmeans_2_clusters │ │ │ │ ├── clusters.csv │ │ │ │ ├── differential_accessibility.csv │ │ │ │ └── differential_expression.csv │ │ │ ├── peaks_kmeans_3_clusters │ │ │ │ ├── clusters.csv │ │ │ │ ├── differential_accessibility.csv │ │ │ │ └── differential_expression.csv │ │ │ ├── peaks_kmeans_4_clusters │ │ │ │ ├── clusters.csv │ │ │ │ ├── differential_accessibility.csv │ │ │ │ └── differential_expression.csv │ │ │ └── peaks_kmeans_5_clusters │ │ │ ├── clusters.csv │ │ │ ├── differential_accessibility.csv │ │ │ └── differential_expression.csv │ │ └── gex │ │ ├── gene_expression_graphclust │ │ │ ├── clusters.csv │ │ │ ├── differential_accessibility.csv │ │ │ └── differential_expression.csv │ │ ├── gene_expression_kmeans_2_clusters │ │ │ ├── clusters.csv │ │ │ ├── differential_accessibility.csv │ │ │ └── differential_expression.csv │ │ ├── gene_expression_kmeans_3_clusters │ │ │ ├── clusters.csv │ │ │ ├── differential_accessibility.csv │ │ │ └── differential_expression.csv │ │ ├── gene_expression_kmeans_4_clusters │ │ │ ├── clusters.csv │ │ │ ├── differential_accessibility.csv │ │ │ └── differential_expression.csv │ │ └── gene_expression_kmeans_5_clusters │ │ ├── clusters.csv │ │ ├── differential_accessibility.csv │ │ └── differential_expression.csv │ ├── dimensionality_reduction │ │ ├── atac │ │ │ ├── lsa_components.csv │ │ │ ├── lsa_dispersion.csv │ │ │ ├── lsa_features_selected.csv │ │ │ ├── lsa_projection.csv │ │ │ ├── lsa_variance.csv │ │ │ ├── tsne_projection.csv │ │ │ └── umap_projection.csv │ │ └── gex │ │ ├── pca_components.csv │ │ ├── pca_dispersion.csv │ │ ├── pca_features_selected.csv │ │ ├── pca_projection.csv │ │ ├── pca_variance.csv │ │ ├── tsne_projection.csv │ │ └── umap_projection.csv │ ├── feature_linkage │ │ ├── feature_linkage.bedpe │ │ └── feature_linkage_matrix.h5 │ └── tf_analysis │ ├── filtered_tf_bc_matrix │ │ ├── barcodes.tsv.gz │ │ ├── matrix.mtx.gz │ │ └── motifs.tsv │ ├── filtered_tf_bc_matrix.h5 │ └── peak_motif_mapping.bed ├── atac_cut_sites.bigwig ├── atac_fragments.tsv.gz ├── atac_fragments.tsv.gz.tbi ├── atac_peak_annotation.tsv ├── atac_peaks.bed ├── cloupe.cloupe ├── filtered_feature_bc_matrix │ ├── barcodes.tsv.gz │ ├── features.tsv.gz │ └── matrix.mtx.gz ├── filtered_feature_bc_matrix.h5 ├── gex_molecule_info.h5 ├── per_barcode_metrics.csv ├── raw_feature_bc_matrix │ ├── barcodes.tsv.gz │ ├── features.tsv.gz │ └── matrix.mtx.gz ├── raw_feature_bc_matrix.h5 ├── summary.csv └── web_summary.html

In this case,

  • /home/jdoe/runs/ is where the pipeline was run,
  • / is the top-level output directory containing pipeline metadata
  • /outs/ contains the final pipeline output files.

The contents of this outs/ directory contain the data that is described in the remainder of this section:

More information about the contents of the pipeline output directory can be found in the Pipestance Structure page.