Identifying driver mutations in sequenced cancer genomes: Computational approaches to enable precision medicine

Genome Medicine

Volumn 6, Issue 1, 2014, Pages

  Raphael, Benjamin J ^a,b   Dobson, Jason R ^a,b,c   Oesper, Layla ^a   Vandin, Fabio ^a,b  

^a Brown Univerity   (United States)

^b BROWN UNIVERSITY   (United States)

^c BROWN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE GRANULOCYTIC LEUKEMIA; AMINO ACID SEQUENCE; CANCER DIAGNOSIS; CANCER GENETICS; CELL CYCLE PHASE; CELL FUNCTION; CELL POPULATION; CHROMOSOME STRUCTURE; CLONAL EVOLUTION; COMPUTATIONAL APPROACH; COPY NUMBER VARIATION; COST BENEFIT ANALYSIS; DIAGNOSTIC ACCURACY; DNA REPLICATION TIMING; DNA SEQUENCE; DRIVER MUTATION; FRAMESHIFT MUTATION; FUSION GENE; GENE FREQUENCY; GENE IDENTIFICATION; GENE MUTATION; GENETIC ALGORITHM; HIGH THROUGHPUT SEQUENCING; HUMAN; IMMUNE EVASION; MATHEMATICAL GENETICS; MEDICINE; MISSENSE MUTATION; NEOPLASM; NONSENSE MUTATION; PREDICTION; PRIMARY TUMOR; PRIORITY JOURNAL; PROTEIN DOMAIN; PROTEIN INTERACTION; PROTEIN PROTEIN INTERACTION; PROTEIN STRUCTURE; REVIEW; SENSITIVITY AND SPECIFICITY; SOMATIC HYPERMUTATION; SOMATIC MUTATION;

EID: 84893346030     PISSN: None     EISSN: 1756994X     Source Type: Journal    
DOI: 10.1186/gm524     Document Type: Review

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