The use of EST expression matrixes for the quality control of gene expression data.

ABSTRACT: EST expression profiling provides an attractive tool for studying differential gene expression, but cDNA libraries' origins and EST data quality are not always known or reported. Libraries may originate from pooled or mixed tissues; EST clustering, EST counts, library annotations and analysis algorithms may contain errors. Traditional data analysis methods, including research into tissue-specific gene expression, assume EST counts to be correct and libraries to be correctly annotated, which is not always the case. Therefore, a method capable of assessing the quality of expression data based on that data alone would be invaluable for assessing the quality of EST data and determining their suitability for mRNA expression analysis. Here we report an approach to the selection of a small generi

SUBMITTER: Milnthorpe AT 

PROVIDER: S-EPMC3297614 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature