Analysis of the copy number profiles of several tumor samples from the same patient reveals the successive steps in tumorigenesis.
Abstract
We present a computational method, TuMult, for reconstructing the sequence of copy number changes driving carcinogenesis, based on the analysis of several tumor samples from the same patient. We demonstrate the reliability of the method with simulated data, and describe applications to three different cancers, showing that TuMult is a valuable tool for the establishment of clonal relationships between tumor samples and the identification of chromosome aberrations occurring at crucial steps in cancer progression.
Domains
Biochemistry, Molecular Biology
Origin : Publisher files allowed on an open archive
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