Mutational Signatures in Whole-Genome-Sequenced UK Cancers

2022 mutational signature data from a study published in Science, authored by Andrea Degasperi of the University of Cambridge. The data originates from whole-genome-sequenced cancers within the UK population, supporting research into cancer etiology.

Use Cases

• Identifying cancer etiology based on mutational signature patterns described in the study.
• Validating computational methods for signature extraction using whole-genome-sequencing data.
• Comparing mutational signatures across cancer types within a UK population cohort.

Strengths

• Data is associated with a peer-reviewed article published in Science in 2022.
• The dataset is derived from whole-genome-sequenced cancers, providing a high-resolution genomic context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Cambridge, via paperswithcode.

Collection Method

Derived from whole-genome sequencing of cancers in the UK population.

Time Range

null

Freshness

unknown

Geography

United Kingdom