International Workshop on Algorithms in Bioinformatics

WABI 2016: Algorithms in Bioinformatics pp 137-149

Copy-Number Evolution Problems: Complexity and Algorithms

  • Mohammed El-Kebir
  • Benjamin J. Raphael
  • Ron Shamir
  • Roded Sharan
  • Simone Zaccaria
  • Meirav Zehavi
  • Ron Zeira
Conference paper

DOI: 10.1007/978-3-319-43681-4_11

Volume 9838 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
El-Kebir M. et al. (2016) Copy-Number Evolution Problems: Complexity and Algorithms. In: Frith M., Storm Pedersen C. (eds) Algorithms in Bioinformatics. WABI 2016. Lecture Notes in Computer Science, vol 9838. Springer, Cham

Abstract

Cancer is an evolutionary process characterized by the accumulation of somatic mutations in a population of cells that form a tumor. One frequent type of mutations are copy number aberrations, which alter the number of copies of genomic regions. The number of copies of each position along a chromosome constitutes the chromosome’s copy-number profile. Understanding how such profiles evolve in cancer can assist in both diagnosis and prognosis. We model the evolution of a tumor by segmental deletions and amplifications, and gauge distance from profile \(\mathbf {a}\) to \(\mathbf {b}\) by the minimum number of events needed to transform \(\mathbf {a}\) into \(\mathbf {b}\). Given two profiles, our first problem aims to find a parental profile that minimizes the sum of distances to its children. Given k profiles, the second, more general problem, seeks a phylogenetic tree, whose k leaves are labeled by the k given profiles and whose internal vertices are labeled by ancestral profiles such that the sum of edge distances is minimum. For the former problem we give a pseudo-polynomial dynamic programming algorithm that is linear in the profile length, and an integer linear program formulation. For the latter problem we show it is NP-hard and give an integer linear program formulation. We assess the efficiency and quality of our algorithms on simulated instances.

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Mohammed El-Kebir
    • 1
  • Benjamin J. Raphael
    • 1
  • Ron Shamir
    • 2
  • Roded Sharan
    • 2
  • Simone Zaccaria
    • 1
    • 3
  • Meirav Zehavi
    • 2
  • Ron Zeira
    • 2
  1. 1.Department of Computer Science, Center for Computational Molecular BiologyBrown UniversityProvidenceUSA
  2. 2.School of Computer ScienceTel Aviv UniversityTel AvivIsrael
  3. 3.Dipartimento di Informatica Sistemistica E Comunicazione (DISCo)Univ. Degli Studi di Milano-BicoccaMilanItaly