Supervised Lowess normalization of comparative genome hybridization data – application to lactococcal strain comparisons

Inferring Tree Models for Oncogenesis from Comparative Genome Hybridization Data

Comparative genome hybridization (CGH) is a laboratory method to measure gains and losses of chromosomal regions in tumor cells. It is believed that DNA gains and losses in tumor cells do not occur entirely at random, but partly through some flow of causality. Models that relate tumor progression to the occurrence of DNA gains and losses could be very useful in hunting cancer genes and in cance...

cDNA Microarray Data Normalization

Application of hybridization techniques to genome mapping and sequencing.

Establishment of a variety of hybridization techniques for the analysis of large genomic areas has paved the way for a parallel examination of genomes on many levels within the framework of the various genome projects. Here, I discuss some recent achievements in the application of DNA hybridization techniques, in particular oligomer hybridization.

Supervised normalization of microarrays

MOTIVATION A major challenge in utilizing microarray technologies to measure nucleic acid abundances is 'normalization', the goal of which is to separate biologically meaningful signal from other confounding sources of signal, often due to unavoidable technical factors. It is intuitively clear that true biological signal and confounding factors need to be simultaneously considered when performi...

Application of array-based comparative genomic hybridization to clinical diagnostics.

Microarray-based comparative genomic hybridization (array CGH) is a revolutionary platform that was recently adopted in the clinical laboratory. This technology was first developed as a research tool for the investigation of genomic alterations in cancer. It allows for a high-resolution evaluation of DNA copy number alterations associated with chromosome abnormalities. Array CGH is based on the...