A novel SNP analysis method to detect copy number alterations with an unbiased reference signal directly from tumor samples

BMC Medical Genomics

Volumn 4, Issue , 2011, Pages

  Lisovich, Alex ^a,c   Chandran, Uma R ^a,c   Lyons Weiler, Maureen A ^a,c   LaFramboise, William A ^a,c   Brown, Ashley R ^c   Jakacki, Regina I ^b   Pollack, Ian F ^b,c   Sobol, Robert W ^a,c,d  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b CHILDREN S HOSPITAL OF PITTSBURGH   (United States)

^c UNIVERSITY OF PITTSBURGH CANCER INSTITUTE   (United States)

^d UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CARCINOGENESIS; CHILD; CONTROLLED STUDY; COPY NUMBER VARIATION; DRUG TARGETING; GENE IDENTIFICATION; GENETIC ALGORITHM; GENETIC DATABASE; GENOMIC INSTABILITY; GLIOBLASTOMA; HUMAN; HUMAN TISSUE; INTERMETHOD COMPARISON; INTERRATER RELIABILITY; KIDNEY CARCINOMA; MICROARRAY ANALYSIS; POLYMERASE CHAIN REACTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; SINGLE NUCLEOTIDE POLYMORPHISM; SYSTEMATIC ERROR; TISSUE HOMOGENATE; TUMOR GENE; VALIDATION PROCESS; VIRTUAL NORMAL ALGORITHM; ALGORITHM; COMPARATIVE STUDY; DNA MICROARRAY; GENETICS; METHODOLOGY; NEOPLASM; REPRODUCIBILITY; STANDARD;

ALGORITHMS; CHILD; DNA COPY NUMBER VARIATIONS; HUMANS; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; POLYMERASE CHAIN REACTION; POLYMORPHISM, SINGLE NUCLEOTIDE; REFERENCE STANDARDS; REPRODUCIBILITY OF RESULTS;

EID: 79251540572     PISSN: None     EISSN: 17558794     Source Type: Journal    
DOI: 10.1186/1755-8794-4-14     Document Type: Article

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