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
75
datasets
1,180,819
cells (spots)
21
tumor types
35
datasets
20,948
cells (spots)
16
tumor types
24
datasets
1,016,382
cells (spots)
17
tumor types
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