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Abstract Large-scale cancer genome studies suggest that tumors are driven by somatic copy number alterations (SCNAs) or single-nucleotide variants (SNVs). Due to the low-cost, the clinical use of genomics assays is biased towards targeted gene panels, which identify SNVs. There is a need for a comparably low-cost and simple assay for high-resolution SCNA profiling. Here we present our method, conliga, which infers SCNA profiles from a low-cost and simple assay.

Original publication

DOI

10.1101/394429

Type

Journal article

Publication Date

19/08/2018

Keywords

Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS)Consortium