Software
BABAR: an R package to simplify the normalisation of common reference design microarray-based transcriptomic datasets
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* Corresponding author: Mark J Alston mark.alston@bbsrc.ac.uk
1 Foodborne Bacterial Pathogens, Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA, UK
2 Bioinformatics & Statistics, Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA, UK
3 Integrated Biology of the GI Tract, Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA, UK
4 Current address: The Genome Analysis Centre, Norwich Research Park, Norwich, NR4 7UH, UK
5 Current address: Department of Microbiology, Moyne Institute of Preventive Medicine, School of Genetics and Microbiology, Trinity College, Dublin 2, Ireland
BMC Bioinformatics 2010, 11:73 doi:10.1186/1471-2105-11-73
Published: 3 February 2010Additional files
Additional file 2:
BABAR documentation. Vignette detailing the installation and running of BABAR.
Format: PDF Size: 390KB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional file 3:
Dataset 1. The unprocessed microarray data files from a heterogeneous 'problem' dataset describing the transcriptomic changes for Salmonella internalised within mammalian cells.
Format: ZIP Size: 8.5MB Download file
Additional file 4:
Dataset 2. The unprocessed microarray data files and the associated .gal file for a non-heterogeneous 'good' dataset describing the transcriptomic changes of virulence genes for wild-type Salmonella and IHF mutants.
Format: ZIP Size: 13.1MB Download file