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Hatchet

HATCHet (Holistic Allele-specific Tumor Copy-number Heterogeneity) is an algorithm that infers allele and clone-specific CNAs and WGDs jointly across multiple tumor samples from the same patient, and that leverages the relationships between clones in these samples.

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/learn @raphael-group/Hatchet
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Universal

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HATCHet

HATCHet is an algorithm to infer allele and clone-specific copy-number aberrations (CNAs), clone proportions, and whole-genome duplications (WGD) for several tumor clones jointly from multiple bulk-tumor samples of the same patient or from a single bulk-tumor sample.

Complete documentation for HATCHet is available at https://raphael-group.github.io/hatchet/

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GitHub Stars71
CategoryProduct
Updated1mo ago
Forks32

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Roff

Security Score

95/100

Audited on Feb 24, 2026

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