Computational methods for detecting copy number variations in cancer genome using next generation sequencing: Principles and challenges

Oncotarget

Volumn 4, Issue 11, 2013, Pages 1868-1881

  Liu, Biao ^a   Morrison, Carl D ^a   Johnson, Candace S ^a   Trump, Donald L ^a   Qin, Maochun ^a   Conroy, Jeffrey C ^a   Wang, Jianmin ^a   Liu, Song ^a  

^a ROSWELL PARK CANCER INSTITUTE   (United States)

Author keywords

Cancer genome analysis; Copy number variation; Next generation sequencing; Somatic mutations

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ARTICLE; CANCER GENETICS; CANCER GENOME ANALYSIS; COMPUTER ANALYSIS; COMPUTER PROGRAM; COPY NUMBER VARIATION; COST EFFECTIVENESS ANALYSIS; DATA PROCESSING; GENE FREQUENCY; GENE MAPPING; GENETIC HETEROGENEITY; GENETIC PURITY; GENOME ANALYSIS; HETEROZYGOSITY LOSS; MATHEMATICAL ANALYSIS; NEXT GENERATION SEQUENCING; PLOIDY; SEQUENCE ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM; WHOLE EXOME SEQUENCING; WHOLE GENOME SEQUENCING; WORKFLOW;

DNA COPY NUMBER VARIATIONS; GENOME, HUMAN; GENOMICS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; NEOPLASMS; SEQUENCE ANALYSIS, DNA;

EID: 84890244872     PISSN: None     EISSN: 19492553     Source Type: Journal    
DOI: 10.18632/oncotarget.1537     Document Type: Article

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