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Identification of large-scale genomic variation in cancer genomes using in silico reference models (2016)

Killcoyne, S., del Sol, A.

Oxford University Press

In: Nucleic Acids Research

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Publication Date: 2016-01-09

Description: Identifying large-scale structural variation in cancer genomes continues to be a challenge to researchers. Current methods rely on genome alignments based on a reference that can be a poor fit to highly variant and complex tumor genomes. To address this challenge we developed a method that uses available breakpoint information to generate models of structural variations. We use these models as references to align previously unmapped and discordant reads from a genome. By using these models to align unmapped reads, we show that our method can help to identify large-scale variations that have been previously missed.

Keywords: Genomics

Print ISSN: 0305-1048

Electronic ISSN: 1362-4962

Topics: Biology

Published by Oxford University Press

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