MSIsensor-pro MSIsensor-pro: Fast, Accurate, and Matched-normal-sample-free Detection of Microsatellite Instability

Introduction

MSIsensor-pro is an updated version of msisensor. MSIsensor-pro evaluates Microsatellite Instability (MSI) for cancer patients with next generation sequencing data. It accepts the whole genome sequencing, whole exome sequencing and target region (panel) sequencing data as input. 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 which required matched normal samples in terms of both accuracy and computational cost. If you want to know more detail about MSIsensor-pro, please see the MSIsensor-pro Schematics and Internals page

Publications

  1. MSIsensor-pro: Fast, Accurate, and Matched-normal-sample-free Detection of Microsatellite Instability
    Cite this
    Peng Jia, Xiaofei Yang, Li Guo, Bowen Liu, Jiadong Lin, Hao Liang, Jianyong Sun, Chengsheng Zhang, Kai Ye, 2020/3/12 - Genomics, Proteomics & Bioinformatics

Credits

  1. PENG JIA pengjia@stu.xjtu.edu.cn
    DeveloperContributor

    Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, China

  2. KAI YE kaiye@xjtu.edu.cn
    Investigator

    Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, China

  3. Xiaofei Yang xfyang@xjtu.edu.cn
    Contributor

    Computer Science and Technology, Xi'an Jiaotong University, China

  4. Li Guo li_guo@xjtu.edu.cn
    Contributor

    Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, China

  5. Jiadong Lin jiadong66@stu.xjtu.edu.cn
    Contributor

    Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, China

Community Ratings

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pen***a@stu.xjtu.edu.cn (May 31, 2021)
Summary
AccessionBT007108
Tool TypeApplication
CategoryPrognostic biomarker identification
PlatformsLinux/Unix
TechnologiesC++
User InterfaceTerminal Command Line
Input DataBAM, FASTA
Latest Release1.2.0 (May 26, 2021)
Download Count1911
Country/RegionChina
Submitted ByPENG JIA
Fundings

2018YFC0910400