THetA: Inferring intra-tumor heterogeneity from high-throughput DNA sequencing data

Genome Biology

Volumn 14, Issue 7, 2013, Pages

  Oesper, Layla ^a   Mahmoody, Ahmad ^a   Raphael, Benjamin J ^a,b  

^a Brown Univerity   (United States)

^b BROWN UNIVERSITY   (United States)

Author keywords

Algorithms; Cancer genomics; DNA sequencing; Intra tumor heterogeneity; Tumor evolution

Indexed keywords

ARTICLE; CANCER GENETICS; CELL POPULATION; CLONAL VARIATION; CONTROLLED STUDY; COPY NUMBER VARIATION; DNA SEQUENCE; GENETIC ALGORITHM; GENETIC HETEROGENEITY; HIGH THROUGHPUT SEQUENCING; INTERMETHOD COMPARISON; MAXIMUM LIKELIHOOD METHOD; QUANTITATIVE ANALYSIS; TUMOR CELL; TUMOR HETEROGENEITY ANALYSIS; ALGORITHM; BREAST TUMOR; COMPUTER PROGRAM; COMPUTER SIMULATION; FEMALE; GENETICS; HUMAN; HUMAN GENOME; PROCEDURES; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; BREAST NEOPLASMS; COMPUTER SIMULATION; FEMALE; GENETIC HETEROGENEITY; GENOME, HUMAN; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; LIKELIHOOD FUNCTIONS; SOFTWARE; STATISTICS AS TOPIC;

EID: 84880934918     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/gb-2013-14-7-r80     Document Type: Article

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