Prof. Meirav Zehavi

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A Linear-Time Algorithm for the Copy Number Transformation Problem

Ron Zeira, Meirav Zehavi, Ron Shamir

Problems of genome rearrangement are central in both evolution and cancer. Most evolutionary scenarios have been studied under the assumption that the genome contains a single copy of each gene. In contrast, tumor genomes undergo deletions and duplications, and thus, the number of copies of genes varies. The number of copies of each segment along a chromosome is called its copy number profile (CNP). Understanding CNP changes can assist in predicting disease progression and treatment. To date, questions related to distances between CNPs gained little scientific attention. Here we focus on the following fundamental problem, introduced by Schwarz et al.: given two CNPs, u and v, compute the minimum number of operations transforming u into v, where the edit operations are segmental deletions and amplifications. We establish the computational complexity of this problem, showing that it is solvable in linear time and constant space.

Publication language English
Pages 1179-1194
Journal Journal of Computational Biology
Volume 24
Issue number 12
Publication status Published - 01.12.2017

Keywords

copy number
edit distance
genome rearrangement

ASJC Scopus subject areas

Modeling and Simulation
Molecular Biology
Genetics
Computational Mathematics
Computational Theory and Mathematics

Sustainable Development Goals

SDG 3 - Good Health and Well-being
Access to Document
10.1089/cmb.2017.0060
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Link to publication in Scopus