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Microsatellite Instability (MSI) detection using high-throughput sequencing data.

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Published in Genomics, Proteomics & Bioinformatics GitHub last commit GitHub Release Date GitHub release (latest SemVer including pre-releases) Docker Cloud Build Status Bioconda Docker Pulls GitHub all releases

MSIsensor-pro

Welcome to try our new software MSIsensor-RNA for MSI detection with RNA-seq data!

Introduction of MSIsensor-pro

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 our research paper at Genomics, Proteomics & Bioinformatics page.

Contact

  • If you have any technical questions, please open an issue. If you don't get a prompt response(maybe two working day), please contact with Peng Jia ([email protected]).

  • If you want to apply the MSIsensor-pro to commercial purposes, please click here.

Citation

Peng Jia, Xiaofei Yang, Li Guo, Bowen Liu, Jiadong Lin, Hao Liang, et al. MSIsensor-pro: fast, accurate, and matched-normal-sample-free detection of microsatellite instability. Genomics Proteomics Bioinformatics 2020,18(1). PDF

See more details in the Key Commands page and Best Practices page.

Contributors

  • Peng Jia
  • Bowen Liu
  • Hao Liang
  • Mingzhe Duan

Disclaimer

MSIsensor-pro, its developers, and owners do not intend to provide medical advice nor to replace the medical advice or treatment from your doctor. This information is not intended to diagnose, treat, cure, or prevent any disease.