MSIseq: Software for assessing microsatellite instability from catalogs of somatic mutations

• Main Authors: Ni Huang, M, McPherson, J.R, Cutcutache, I, Teh, B.T, Tan, P, Rozen, S.G
• Other Authors: PHYSIOLOGY
• Format: Article
• Published: 2020
• Subjects: algorithm; automated pattern recognition; data mining; database management system; dna mutational analysis; DNA sequence; genetic database; human; machine learning; microsatellite instability; molecular genetics; nucleotide sequence; procedures; reproducibility; sensitivity and specificity; software; Algorithms; Base Sequence; Data Mining; Database Management Systems; Databases, Genetic; DNA Mutational Analysis; Humans; Machine Learning; Microsatellite Instability; Molecular Sequence Data; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Sequence Analysis, DNA; Software
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/175987

10.1038/srep13321