Detecting somatic mutations in genomic sequences by means of Kolmogorov-Arnold analysis.

ABSTRACT: The Kolmogorov-Arnold stochasticity parameter technique is applied for the first time to the study of cancer genome sequencing, to reveal mutations. Using data generated by next-generation sequencing technologies, we have analysed the exome sequences of brain tumour patients with matched tumour and normal blood. We show that mutations contained in sequencing data can be revealed using this technique, thus providing a new methodology for determining subsequences of given length containing mutations, i.e. its value differs from those of subsequences without mutations. A potential application for this technique involves simplifying the procedure of finding segments with mutations, speeding up genomic research and accelerating its implementation in clinical diagnostics. Moreover, the predictio

SUBMITTER: Gurzadyan VG 

PROVIDER: S-EPMC4555851 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature