This page serves as a starting point for exploring the results of
scprocess. The links below organize all generated reports,
with each one detailing a specific step of the analysis (e.g., mapping,
ambient RNA removal, QC).
Use this page to navigate through the full set of visualizations and outputs for your project.
Core steps
Cell type annotation
- Celltype labelling (link)
Subclustering
- da_neurons_0.2 (link)
Config files
▸ config-kamath_2022_ctrl.yaml (click to expand)
project:
proj_dir: /pmount/projects/site/pred/brain-sc-data/kamath_2022_ctrl
fastq_dir: /pmount/projects/site/pred/brain-sc-analysis/studies/Kamath_2022_pos/data/fastqs
full_tag: kamath_2022_ctrl
short_tag: kamath
your_name: Will Macnair
affiliation: Computational Sciences Center of Excellence, F Hoffmann-La Roche Ltd, Basel, Switzerland
sample_metadata: data/metadata/sample_metadata_kamath_2022_ctrl_pos.csv
ref_txome: human_2024
date_stamp: "2026-03-23"
ambient:
ambient_method: cellbender
qc:
qc_max_mito: 0.10
qc_max_splice: 0.75
marker_genes:
mkr_custom_genesets:
- name: human_brain
label_celltypes:
- labeller: scprocess
model: human_cns
zoom:
- data/metadata/zoom_params_kamath_2022_ctrl_dopaminergic.yaml
resources:
retries: 2
gb_save_alevin_to_h5: 16
gb_run_cellbender: 32
▸ zoom_params_kamath_2022_ctrl_dopaminergic.yaml (click to expand)
zoom:
name: da_neurons
labels_source: clusters
sel_labels: [cl02]
labels_col: RNA_snn_res.0.2
qc:
qc_min_cells: 50
integration:
int_n_dims: 20