MSIsensor-Pro: Fast, Accurate, and Matched-Normal-Sample-Free Detection of Microsatellite Instability
Genomics Proteomics & Bioinformatics, vol. 18, pp. 65–71
Abstract
Microsatellite instability (MSI) is a key biomarker for cancer therapy and prognosis. Traditional experimental assays are laborious and time-consuming, and next-generation sequencing-based computational methods do not work on leukemia samples, paraffin-embedded samples, or patient-derived xenografts/organoids, due to the requirement of matched normal samples. Herein, we developed MSIsensor-pro, an open-source single sample 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 site selection method to enable MSI detection without matched normal samples. We demonstrate that MSIsensor-pro is an ultrafast, accurate, and robust MSI calling method. Using samples with various sequencing depths and tumor purities, MSIsensor-pro significantly outperformed the current leading methods in both accuracy and computational cost. MSIsensor-pro is available at https://github.com/xjtu-omics/msisensor-pro and free for non-commercial use, while a commercial license is provided upon request.
Authors 8
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Affiliation as printed
MOE Key Laboratory for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University , Xi’an 710049 , China
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University , Xi’an 710049 , China
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Affiliation as printed
MOE Key Laboratory for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University , Xi’an 710049 , China
School of Computer Science and Technology, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University , Xi’an 710049 , China
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Affiliation as printed
MOE Key Laboratory for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University , Xi’an 710049 , China
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University , Xi’an 710049 , China
School of Life Science and Technology, Xi’an Jiaotong University , Xi’an 710049 , China
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Affiliation as printed
MOE Key Laboratory for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University , Xi’an 710049 , China
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University , Xi’an 710049 , China
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Leiden University · Xi'an Jiaotong University
Affiliation as printed
Leiden Institute of Advanced Computer Science, Leiden University , Leiden 2311 ZE , Netherlands
MOE Key Laboratory for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University , Xi’an 710049 , China
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University , Xi’an 710049 , China
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Affiliation as printed
School of Mathematics and Statistics, Xi’an Jiaotong University , Xi’an 710049 , China
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First Affiliated Hospital of Xi'an Jiaotong University · The Jackson Laboratory for Genomic Medicine
Affiliation as printed
Jackson Laboratory for Genomic Medicine, Farmington , CT 06032 , USA
Precision Medicine Center, the First Affiliated Hospital of Xi’an Jiaotong University , Xi’an 710061 , China
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Kai Ye corresponding
First Affiliated Hospital of Xi'an Jiaotong University · Xi'an Jiaotong University
Affiliation as printed
Genome Institute, the First Affiliated Hospital of Xi’an Jiaotong University , Xi’an 710061 , China
MOE Key Laboratory for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University , Xi’an 710049 , China
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University , Xi’an 710049 , China
School of Life Science and Technology, Xi’an Jiaotong University , Xi’an 710049 , China
Cited by 136 stored of 180
Cited by patents worldwide 3 (Lens.org)
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