Algorithms and genome sequencing: Identifying driver pathways in cancer

Fabio Vandin, Eli Upfal, Benjamin J. Raphael

Research output: Contribution to specialist publicationArticle

8 Scopus citations


Two proposed algorithms predict which combinations of mutations in cancer genomes are priorities for experimental study. One relies on interaction network data to identify recurrently mutated sets of genes, while the other searches for groups of mutations that exhibit specific combinatorial properties.

Original languageEnglish (US)
Number of pages8
Specialist publicationComputer
StatePublished - Mar 2012
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Science(all)


  • Markov chain Monte Carlo
  • bioinformatics
  • cancer genomics
  • computational biology
  • diffusion processes
  • genome sequencing
  • networks

Fingerprint Dive into the research topics of 'Algorithms and genome sequencing: Identifying driver pathways in cancer'. Together they form a unique fingerprint.

Cite this