Open Access Highly Accessed Research article

Global analysis of X-chromosome dosage compensation

Vaijayanti Gupta1*, Michael Parisi1, David Sturgill1, Rachel Nuttall24, Michael Doctolero24, Olga K Dudko3, James D Malley3, P Scott Eastman24 and Brian Oliver1*

Author Affiliations

1 Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 50 South Drive, Bethesda, MD 20892, USA

2 Incyte Genomics, Palo Alto, CA 94304, USA

3 Mathematical and Statistical Computing Laboratory, Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, MD 20982, USA

4 Current address: Quantum Dot Corporation, Hayward, CA 94545, USA

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Journal of Biology 2006, 5:3  doi:10.1186/jbiol30

Published: 16 February 2006

Additional files

Additional data file 1:

A figure showing the effect of different data handling techniques on differential expression resulting from altered gene dose on the autosomes

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Additional data file 2:

A figure showing the experimental design in detail

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Additional data file 3:

One-way ANOVA comparisons

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Additional data file 4:

Estimation of Hodges-Lehmann (HL) median differences between expression ratios in various experiments

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Additional data file 5:

Estimation of Hodges-Lehmann (HL) median differences between signal intensities in various experiments

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Additional data file 6:

A figure showing a simple picture depicting bootstrap HL estimates of median differences followed by the Kolmogorov-Smirnov (KS) test

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