MSIsensor: microsatellite instability detection using paired tumor-normal sequence data
By Beifang Niu, Kai Ye, Qunyuan Zhang, Charles Lu, Mingchao Xie, M. McLellan, Michael C. Wendl, Li Ding. Bioinform., 2014
724 citations recorded by the source corpus.
Subfields: Cancer Research, Genetics, Pathology and Forensic Medicine
View Paper: https://www.semanticscholar.org/paper/aff8c7c3bdcccdddb559c5fd20a6507ad997de79
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cancer Research
- Matthew Meyerson
- Gad Getz
- M. Lawrence
- Abel Gonzalez-Perez
- Núria López-Bigas
- A. Gimenez-Roqueplo
- W. Marston Linehan
- D. Hoon
In Genetics
- P. Park
- Hui Shen
- M. Wiznerowicz
- Feixiong Cheng
- Jill S. Barnholtz-Sloan
- Christopher Sander
- Peter W. Laird
- Richard A. Gibbs
In Pathology and Forensic Medicine
Citations in the corpus
- Clinical sequencing defines the genomic landscape of metastatic colorectal cancer (2018, neutral): “…APC_forward: 5’AGAAATCAACATGGCAACT 3’ This paper N/A Primer: APC_reverse: 5’ACTAGAACTCAAAACACTGG 3’ This paper N/A Software and Algorithms MSIsensor Niu et al., 2014 N/A MuSiC Dees et al., 2012 http://gmt.genome.wustl.edu/packages/ genome-music/ MutSigCV 1.4 Lawrence et al., 2013…”
- ESMO recommendations on microsatellite instability testing for immunotherapy in cancer, and its relationship with PD-1/PD-L1 expression and tumour mutational burden: a systematic review-based approach. (2019, background): “NGS can also determine MSI status [101–103]; a recently developed ‘MSIsensor’ combines NGS with biostatistics to address MSI in tumour samples [101, 102].”
- Comprehensive Characterization of Cancer Driver Genes and Mutations (2018, methodology): “MSIsensor Written in C++, MSIsensor (version 0.2) is an algorithm that distinguishes microsatellite instable (MSI) tumors frommicrosatellite stable (MSS) samples based on tumor/normal sequence data (Niu et al., 2014).”