Accurately identifying low-allelic fraction variants in single samples with next-generation sequencing: Applications in tumor subclone resolution

Human Mutation

Volumn 34, Issue 10, 2013, Pages 1432-1438

  Stead, Lucy F ^a   Sutton, Kate M ^a   Taylor, Graham R ^b   Quirke, Philip ^a   Rabbitts, Pamela ^a  

^a ST JAMES S UNIVERSITY HOSPITAL   (United Kingdom)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Allelic frequency; Mutation; Next generation sequencing; Subclone; Variant

Indexed keywords

ALLELE; AMPLICON; ARTICLE; CANCER GENETICS; CONTROLLED STUDY; GENE ASSIGNMENT; GENE FREQUENCY; GENE IDENTIFICATION; GENE SEQUENCE; GENETIC PARAMETERS; GENETIC VARIABILITY; HUMAN; HUMAN CELL; INTERMETHOD COMPARISON; MOLECULAR CLONING; NUCLEOTIDE SEQUENCE; PRIORITY JOURNAL; SEQUENCE ANALYSIS;

ALLELIC FREQUENCY; MUTATION; NEXT-GENERATION SEQUENCING; SUBCLONE; VARIANT;

ALLELES; BASE COMPOSITION; CHROMOSOME MAPPING; CLONE CELLS; COMPUTATIONAL BIOLOGY; GENE FREQUENCY; GENETIC TESTING; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; MUTATION; NEOPLASMS; POLYMORPHISM, SINGLE NUCLEOTIDE; REPRODUCIBILITY OF RESULTS;

EID: 84884521244     PISSN: 10597794     EISSN: 10981004     Source Type: Journal    
DOI: 10.1002/humu.22365     Document Type: Article

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