Inferring models of multiscale copy number evolution for single-tumor phylogenetics

• Published in: Bioinformatics (Oxford, England) Vol. 31; no. 12; pp. i258 - i267
• Main Authors: Chowdhury, Salim Akhter, Gertz, E Michael, Wangsa, Darawalee, Heselmeyer-Haddad, Kerstin, Ried, Thomas, Schäffer, Alejandro A, Schwartz, Russell
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 15.06.2015
• Subjects: Algorithms; Disease Progression; Evolution, Molecular; Female; Gene Dosage; Genomics; Humans; Models, Genetic; Neoplasms - genetics; Phylogeny; Software; Uterine Cervical Neoplasms - genetics

Phylogenetic algorithms have begun to see widespread use in cancer research to reconstruct processes of evolution in tumor progression. Developing reliable phylogenies for tumor data requires quantitative models of cancer evolution that include the unusual genetic mechanisms by which tumors evolve,...