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Impact of whole genome amplification on analysis of copy number variants
T. J. Pugh
, A. D. Delaney
, N. Farnoud
, S. Flibotte
,
M. Griffith
, H. I. Li
, H. Qian
, P. Farinha
, R. D. Gascoyne
, M. A. Marra
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
Institute of Clinical and Translational Sciences (ICTS)
Siteman Cancer Center
Bursky Center for Human Immunology & Immunotherapy Programs (CHiiPs)
Section of Stem Cell Biology
DBBS - Computational and Systems Biology
DBBS - Biomedical Informatics and Data Science
DBBS - Molecular Genetics and Genomics
DBBS - Cancer Biology
Brain Tumor Center
Research output
:
Contribution to journal
›
Article
›
peer-review
72
Scopus citations
Overview
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Keyphrases
Copy number Variation
100%
Whole Genome Amplification
100%
SNP Array
14%
Lymph Node
14%
Copy number Analysis
14%
GC Content
14%
Bona Fide
14%
Confounding
14%
Fresh-frozen
14%
Affymetrix
14%
Pairwise Comparison
14%
Human Genetic Variation
14%
Amplification Method
14%
Chromosome Ends
14%
Extracted DNA
14%
Oligonucleotide Array
14%
Significance Value
14%
Phi29
14%
Strand Displacement Amplification
14%
Biochemistry, Genetics and Molecular Biology
Gene Amplification
100%
Human Genome
25%
GC-content
25%
Copy Number Analysis
25%
SNP Array
25%
DNA Microarray
25%
Genome Variation
25%
Immunology and Microbiology
Gene Amplification
100%
Lymph Node
25%
Single Nucleotide Polymorphism
25%
DNA Microarray
25%
Human Genome
25%
Agricultural and Biological Sciences
Gene Amplification
100%
Single Nucleotide Polymorphism
25%
Lymph Node
25%
DNA Microarray
25%