ASE table
Donor-controlled allelic-balance results.
Download TSVscTHREAD integrates approximately 450 human and mouse long-read sequencing runs, covering approximately 3.0 million cells and more than 200,000 observed transcript isoforms. Harmonized processing supports comparable views of isoform usage, poly(A) site choice, allelic balance and recurrent novel junctions, with coverage reported separately for each evidence layer.
Human and mouse long-read transcriptomes
Representative cell-resolved datasets. UMAP is exploratory and does not imply trajectory.
Each result reports the runs and biological units that contribute to that evidence layer.
| Junction | Span | Molecules | Reads | Runs | Studies |
|---|
Validated cell-resolved embedding from long-read gene expression with run-aware integration. UMAP is exploratory and does not imply trajectory.
Live data scope: results report their contributing runs and biological units by evidence layer. Region queries are aggregated on demand and bounded to a 5 Mb window.
Choose a gene or junction, then select from cell-type pairs supported by enough paired biological samples. Ineligible combinations are not shown.
Results include paired effect sizes, biological-unit counts and exact eligibility boundaries. Unsupported inference is withheld.
Predict v1 is cell-type agnostic. It ranks pooled donor-anchored usage for in-domain junctions and preserves observed evidence alongside the score. The score is not a calibrated PSI, biological-validity probability or cell-type-specific effect.
A validated model may abstain when a junction falls outside its training domain.
Normalize coordinates and retrieve deterministic motif, recurrence, coverage and sequence/RBP annotations for one junction or a batch.
Unmatched and invalid coordinates remain explicit in the output.
Human and mouse sequencing runs enter without relying on published aggregates.
FSM, ISM, NIC and NNC classification with splice-chain reconstruction.
Run-aware barcode joins and per-cell UMI deduplication.
Isoform, PAS, junction and allelic views from one read-facts layer.
One row per sequencing run, with biological context, source accessions, platform, processing state and cell count where available.
| Study | Biological context | Run accession | Species | Platform | Library kit | Cells | Status |
|---|---|---|---|---|---|---|---|
| Loading run-level metadata… | |||||||
Donor-controlled allelic-balance results.
Download TSVVerified gene-level RNA-processing results.
DIU CSVAPA CSV