Genomics Proteomics & BioinformaticsBioinformaticsPeer-reviewed journal article
MSIsensor-pro: fast, accurate and matched-normal-sample-free detection of microsatellite instability
Peng JiaiD, Xiaofei YangiD, Li GuoiD, Bowen LiuiD, Jiadong LiniD, Hao LiangiD, Jianyong SuniD, Chengsheng ZhangiD, Kai YeiD
Abstract
We developed MSIsensor-pro (https://github.com/xjtu-omics/msisensor-pro), an open-source single sample microsatellite instability (MSI) scoring method for research and clinical applications. MSIsensor-pro introduces a multinomial distribution model to quantify polymerase slippages for each tumor sample and a discriminative sites selection method to enable MSI detection without matched normal samples. For samples of various sequencing depths and tumor purities, MSIsensor-pro significantly outperformed the current leading methods in terms of both accuracy and computational cost.
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