ISSN: 0974-276X
Mikhail Soloviev
School of Biological Sciences, Royal Holloway,
Egham, Surrey, TW20 0EX
Research Article
Quality Control of Expression Profiling Data
Author(s): Mikhail Soloviev and Andrew Timothy MilnthorpeMikhail Soloviev and Andrew Timothy Milnthorpe
Expression profiling is a popular tool for studying gene expression levels, but libraries’ origins and data quality are often poorly annotated or contain errors. Experimental techniques, library annotations and analysis algorithms vary between laboratories and may contain errors. Traditional analysis methods, including research into tissuespecific expression, assume expression levels to be correct and libraries to be correctly annotated, which is not always the case. Therefore, tools capable of assessing the quality of multiple types of expression data using the data alone would be invaluable for quality control of that data and elucidation of its suitability for expression analysis. Here we compare and review over 20 methods and focus on a number of key developments in the field. We also highlight the application of recently devised novel quality control methods and show exampl.. View More»
DOI:
10.4172/jpb.1000366