Skip to content

tnyamaguchi/hatchet

 
 

Repository files navigation

CI codecov

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/

About

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.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

  • Roff 95.4%
  • Clojure 3.3%
  • Python 1.1%
  • C++ 0.2%
  • Shell 0.0%
  • CMake 0.0%