MuSE: accounting for tumor heterogeneity using a sample-specific error model improves sensitivity and specificity in mutation calling from sequencing data.

Fan, Yu

MuSE: accounting for tumor heterogeneity using a sample-specific error model improves sensitivity and specificity in mutation calling from sequencing data. [electronic resource] - Genome biology 08 2016 - 178 p. digital

Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't

1474-760X

10.1186/s13059-016-1029-6 doi


Algorithms
Alleles
Computational Biology
Exome--genetics
Genetic Heterogeneity
High-Throughput Nucleotide Sequencing
Humans
Mutation--genetics
Neoplasms--genetics
Sensitivity and Specificity
Software