Identifying driver mutations from sequencing data of heterogeneous tumors in the era of personalized genome sequencing

Briefings in Bioinformatics

Volumn 15, Issue 2, 2014, Pages 244-255

  Zhang, Jing ^a,b   Liu, Jie ^b   Sun, Jianbo ^c   Chen, Chen ^b   Foltz, Gregory ^d   Lin, Biaoyang ^a,b  

^a ZHEJIANG UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c Tangshan Gongren Hospital   (China)

^d SWEDISH MEDICAL CENTER   (United States)

Author keywords

Cancer; Driver mutation; Next generation sequencing; Passenger mutation; Snps

Indexed keywords

ALGORITHM; ARTIFICIAL INTELLIGENCE; BIOLOGY; COMPUTER PROGRAM; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; MUTATION; NEOPLASM; NUCLEOTIDE SEQUENCE; PERSONALIZED MEDICINE; PROCEDURES; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DNA MUTATIONAL ANALYSIS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; INDIVIDUALIZED MEDICINE; LIKELIHOOD FUNCTIONS; MUTATION; NEOPLASMS; POLYMORPHISM, SINGLE NUCLEOTIDE; SOFTWARE;

EID: 84896443312     PISSN: 14675463     EISSN: 14774054     Source Type: Journal    
DOI: 10.1093/bib/bbt042     Document Type: Article

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