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Science 16 November 2007:
Vol. 318. no. 5853, pp. 1136 - 1140
DOI: 10.1126/science.1148910


Widespread Monoallelic Expression on Human Autosomes
Alexander Gimelbrant, John N. Hutchinson, Benjamin R. Thompson, Andrew Chess

Supporting Online Material

This supplement contains:
Materials and Methods
SOM Text
Figs. S1 to S13
Tables S1 to S4
References

Download supplement

This file is in Adobe Acrobat PDF format.

Other Supporting Online Material for this manuscript includes the following:
(available at www.sciencemag.org/cgi/content/full/318/5853/1136/DC1)
Tables S5 and S6
Database S1

Supporting Tables S5 and S6. Lists of autosomal genes assayed in WI38.4 line (Table S5) and in placenta samples (Table S6), presented in Microsoft Excel worksheets. File is packaged as a compressed archive, in *.zip format; users should download the compressed file to their machine and decompress the file on their local hard drive, using the instructions below.

1148910s_tables5and6.zip (< 0.1 MB)

Supporting Database S1. Supplementary database of basic identification, positional, expression, and other information on genes covered in study, in separate Excel worksheets for monoallelic and biallelic genes. File is packaged as a compressed archive, in *.zip format; users should download the compressed file to their machine and decompress the file on their local hard drive, using the instructions below.

1148910s_DatabaseS1.zip (0.3 MB)


Instructions for downloading and decompressing files:

  1. Create a temporary folder on your machine's hard drive.
  2. Save the compressed archive to the temporary folder you created, using the links above.
  3. Decompress the compressed file in the temporary folder using decompression software such as WinZip (Windows; www.winzip.com) or StuffIt Expander (Windows and Mac; www.stuffit.com).
  4. CSV files can be opened and viewed using Microsoft Excel, the spreadsheet module of the freely downloadable Open Office suite, or the freely downloadable Excel Viewer available from Microsoft.





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Science. ISSN 0036-8075 (print), 1095-9203 (online)