scTML: Single-Cell Tumor Mutation Landscape

scTML offers a pan-cancer single-cell landscape of multiple mutation types, for investigating single cell-level mutation patterns and exploring their relationships with gene expression and phenotype information.

Profiles

Datasets

Total

75

datasets

1,180,819

cells (spots)

21

tumor types

Smartseq2

35

datasets

20,948

cells (spots)

16

tumor types

10x

24

datasets

1,016,382

cells (spots)

17

tumor types

Spatial

16

datasets

143,489

cells (spots)

11

tumor types

Data statistics

636,251

SNV

98,632

Fusion

5,784

Alternative Splicing

4,866

CNV

55,407

Gene expression

14

Cell state