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
Credits
- PENG JIA pengjia@stu.xjtu.edu.cn DeveloperContributor
Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, China
- KAI YE kaiye@xjtu.edu.cn Investigator
Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, China
- Xiaofei Yang xfyang@xjtu.edu.cn Contributor
Computer Science and Technology, Xi'an Jiaotong University, China
- Li Guo li_guo@xjtu.edu.cn Contributor
Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, China
- Jiadong Lin jiadong66@stu.xjtu.edu.cn Contributor
Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, China
Community Ratings
Usability | Efficiency | Reliability | Rated By |
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1 users | |||
Sign in to rate | |||
pen***a@stu.xjtu.edu.cn (May 31, 2021) |
Accession | BT007108 |
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Tool Type | Application |
Category | Prognostic biomarker identification |
Platforms | Linux/Unix |
Technologies | C++ |
User Interface | Terminal Command Line |
Input Data | BAM, FASTA |
Latest Release | 1.2.0 (May 26, 2021) |
Download Count | 2119 |
Country/Region | China |
Submitted By | PENG JIA |
2018YFC0910400