yascp

nf-core/yascp: Output

Introduction

This documentation provides a comprehensive overview of the outputs generated by the pipeline.

The pipeline will create the following files in your working directory:

work            # Nextflow working directory
results         # Final results (configurable, see below)
.nextflow_log   # Log file from Nextflow
# Other Nextflow hidden files, eg. history of pipeline runs and old logs.

The structure of the results folder is outlined below, providing a snapshot of the diverse outputs from various stages of the pipeline:

Detailed explanations of each output folder and their corresponding steps are provided below:

preprocessing

The preprocessing folder contains the following subdirectories:

Click to view detailed folder structure ``` preprocessing/ ├── data_modalities_split │   ├── filterd │   │   └── Pool1 │   │   ├── Gene_Expression-Pool1.h5ad │   │   └── Pool1__Gene_Expression │   └── raw │   └── Pool1 │   ├── Gene_Expression-Pool1.h5ad │   └── Pool1__Gene_Expression ├── recourses │   ├── Done.tmp │   ├── full_test_dataset │   ├── input_test_data_file.tsv │   └── input_test_vcf_file.tsv └── subset_genotypes ├── Genotype___AllExpectedGT_Pool1 └── Genotypes_all_pools.tsv ```

doublet_detection

The doublet_detection folder contains the following subdirectories:

Click to view detailed folder structure ``` doublet_detection ├── DoubletDecon │   └── Pool1__DoubletDecon_doublets_singlets.tsv ├── DoubletFinder │   └── Pool1__DoubletFinder_doublets_singlets.tsv ├── doublet_results_combined │   └── Pool1__doublet_results_combined.tsv ├── droplet_type_distribution │   └── Pool1__droplet_type_distribution.png ├── scDblFinder │   └── Pool1__scDblFinder_doublets_singlets.tsv ├── SCDS │   └── Pool1__scds_doublets_singlets.tsv └── scrublet ├── plots │   ├── Pool1boxplot_total_umi_counts.png │   ├── Pool1histogram_multiplet_scores_log.png │   ├── Pool1histogram_multiplet_scores.png │   └── Pool1histogram_multiplet_zscores.png └── Pool1scrublet.tsv ```

deconvolution

The deconvolution folder contains the following subdirectories:

celltype_assignemt

The celltype_assignemt folder contains the following subdirectories and files:

Click to view detailed folder structure ``` celltype_assignemt/ ├── All_Celltype_Assignments.tsv ├── azimuth │   └── PBMC │   ├── AZ_1.pre_QC_adata_Pool1_Pool1_celltype.l1.mapping_score_umap.pdf │   ├── AZ_1.pre_QC_adata_Pool1_Pool1_celltype.l1.mapping_score_vln.pdf │   ├── AZ_1.pre_QC_adata_Pool1_Pool1_celltype.l1.ncells_by_type_barplot.pdf │   ├── AZ_1.pre_QC_adata_Pool1_Pool1_celltype.l1.prediction_score_umap.pdf │   ├── AZ_1.pre_QC_adata_Pool1_Pool1_celltype.l1.prediction_score_vln.pdf │   ├── AZ_1.pre_QC_adata_Pool1_Pool1_celltype.l1.query_umap.pdf │   └── AZ_1.pre_QC_adata_Pool1_Pool1_predicted_celltype_l1.tsv ├── celltypist │   ├── COVID19_Immune_Landscape │   │   └── Pool1 │   │   ├── Pool1___COVID19_Immune_Landscape___decision_matrix.csv │   │   ├── Pool1___COVID19_Immune_Landscape___predicted_labels.csv │   │   ├── Pool1___COVID19_Immune_Landscape___probability_matrix.csv │   │   ├── Pool1_majority_voting.pdf │   │   ├── Pool1_over_clustering.pdf │   │   └── Pool1_predicted_labels.pdf │   ├── Immune_All_High │   │   └── Pool1 │   │   ├── Pool1___Immune_All_High___decision_matrix.csv │   │   ├── Pool1___Immune_All_High___predicted_labels.csv │   │   ├── Pool1___Immune_All_High___probability_matrix.csv │   │   ├── Pool1_majority_voting.pdf │   │   ├── Pool1_over_clustering.pdf │   │   └── Pool1_predicted_labels.pdf │   └── Immune_All_Low │   └── Pool1 │   ├── Pool1___Immune_All_Low___decision_matrix.csv │   ├── Pool1___Immune_All_Low___predicted_labels.csv │   ├── Pool1___Immune_All_Low___probability_matrix.csv │   ├── Pool1_majority_voting.pdf │   ├── Pool1_over_clustering.pdf │   └── Pool1_predicted_labels.pdf ├── donor_celltype_report.tsv ├── scpred │   ├── AZ_1.pre_QC_adata_Pool1_AZ_1.pre_QC_adata_Pool1__scpred_prediction.tsv │   └── AZ_1.pre_QC_adata_Pool1_hier_scpred.RDS └── tranche_celltype_report.tsv ```

clustering_and_integration

The clustering_and_integration folder contains integrated and clustered data, along with statistics and plots that describe the performance of the integration and clustering processes.

Click to view detailed folder structure ``` clustering_and_integration/ ├── normalize=total_count.vars_to_regress=none │   ├── adatametadata.tsv.gz │   ├── adatanormalized.h5ad │   ├── adatanormalized_pcacounts.h5ad │   ├── adatanormalized_pca.h5ad │   ├── adatanormalized_pcaknee.tsv │   ├── adatapcs.tsv.gz │   ├── donor_level_anndata_QCfiltered │   │   └── Pool1___sample_QCd_adata.h5ad │   ├── plots │   ├── reduced_dims-null-bbknn.batch=experiment_id.n_pcs=20 │   │   ├── cluster.number_neighbors=-1.method=leiden.resolution=0.1 │   │   │   ├── clustering_0.1clustered.h5ad │   │   │   ├── clustering_0.1clustered.tsv.gz │   │   │   ├── dotplot_sampleclustering_0.1clustered_ncells0.pdf │   │   │   ├── dotplot_sampleclustering_0.1clustered_ncellsless5.pdf │   │   │   ├── dotplot_sampleclustering_0.1clustered.pdf │   │   │   ├── plots │   │   │   ├── sccaf │   │   │   └── validate_resolution │   │   ├── cluster.number_neighbors=-1.method=leiden.resolution=0.5 │   │   ├── cluster.number_neighbors=-1.method=leiden.resolution=1.0 │   │   ├── cluster.number_neighbors=-1.method=leiden.resolution=5.0 │   │   ├── outfile_adatabbknn.h5ad │   │   ├── plots │   │   ├── reduced_dims.tsv.gz │   │   ├── resolution_tuningmerged_model_report.tsv.gz │   │   ├── resolution_tuningmerged_test_result.tsv.gz │   │   └── umap_gather_out.h5ad │   ├── reduced_dims-null-harmony.n_pcs=20.variables=experiment_id.thetas=1.0 │   │   ├── cluster.number_neighbors=15.method=leiden.resolution=0.1 │   │   ├── cluster.number_neighbors=15.method=leiden.resolution=0.5 │   │   ├── cluster.number_neighbors=15.method=leiden.resolution=1.0 │   │   ├── cluster.number_neighbors=15.method=leiden.resolution=5.0 │   │   ├── plots │   │   ├── reduced_dims.tsv.gz │   │   ├── resolution_tuningmerged_model_report.tsv.gz │   │   ├── resolution_tuningmerged_test_result.tsv.gz │   │   └── umap_gather_out.h5ad │   └── reduced_dims-null-pca.n_pcs=20 │   ├── clustering_and_integration │   │   └── plots │   └── reduced_dims.tsv.gz └── plots ```

citeseq

The citeseq folder contains the following subdirectories:

Click to view detailed folder structure ``` citeseq/ └── DSB └── Pool1 └── CITE__Pool1 ```

handover

The handover folder contains the following subdirectories:

Click to view detailed folder structure ``` handover/ ├── Donor_Quantification ├── Donor_Quantification_summary ├── merged_h5ad └── Summary_plots ```