Quantification of global transcription patterns in prokaryotes using spotted microarrays1Department of Pathology and Infectious Diseases, Royal Veterinary College, Royal College Street, London, NW1 0TU, UK 2School of Crystallography, Birkbeck College, London, WC1E 7HX, UK 3TB Research, CEPR, Health Protection Agency, Porton Down, Salisbury, SP4 0JG, UK 4Medical Microbiology, Division of Cellular and Molecular Medicine, St George's University of London, Cranmer Terrace, Tooting, London, SW17 0RE, UK 5Veterinary Laboratories Agency, Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK 6Institute for Tuberculosis Research College of Pharmacy, University of Illinois at Chicago, Chicago, Illinois, 60612-7231, USA 7Division of Mycobacterial Research, National Institute for Medical Research, The Ridgeway, Mill Hill, London, NW7 1AA, UK 8Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK
Genome Biology 2007, 8:R265doi:10.1186/gb-2007-8-12-r265
Subject areas: Bioinformatics, Genome studies, Microbiology and parasitology Additional filesAdditional data file 1: The 198 genes of the 95th percentile; the very abundant transcripts in M. tuberculosis. Format: XLS Size: 60KB Download file This file can be viewed with: Microsoft Excel Viewer Additional data file 2: The quantified level of each functional category and details of those deemed significantly more or less abundant in the low oxygen transcriptome, including data from the three approaches to assess significance. Format: XLS Size: 40KB Download file This file can be viewed with: Microsoft Excel Viewer |


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