Removing System Noise from Comparative Genomic Hybridization Data by Self-Self Analysis
نویسندگان
چکیده
Genomic copy number variation (CNV) is a large source of variation between organisms, and its consequences include phenotypic differences and genetic disorders. CNVs are commonly detected by analysis of data created by hybridizing genomic DNA to microarrays of nucleic acid probes. System noise caused by operational variability and probe performance variability complicates the interpretation of these data.
منابع مشابه
Reducing system noise in copy number data using principal components of self-self hybridizations.
Genomic copy number variation underlies genetic disorders such as autism, schizophrenia, and congenital heart disease. Copy number variations are commonly detected by array based comparative genomic hybridization of sample to reference DNAs, but probe and operational variables combine to create correlated system noise that degrades detection of genetic events. To correct for this we have explor...
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تاریخ انتشار 2011