BABAR: an R package to simplify the normalisation of common reference design microarray-based transcriptomic datasets.

ABSTRACT:

Background

The development of DNA microarrays has facilitated the generation of hundreds of thousands of transcriptomic datasets. The use of a common reference microarray design allows existing transcriptomic data to be readily compared and re-analysed in the light of new data, and the combination of this design with large datasets is ideal for 'systems'-level analyses. One issue is that these datasets are typically collected over many years and may be heterogeneous in nature, containing different microarray file formats and gene array layouts, dye-swaps, and showing varying scales of log2- ratios of expression between microarrays. Excellent software exists for the normalisation and analysis of microarray data but many data have yet to be analysed as existing methods struggle with

SUBMITTER: Alston MJ 

PROVIDER: S-EPMC2829013 | biostudies-literature | 2010 Feb

REPOSITORIES: biostudies-literature