Method
Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas
-
* Corresponding author: Nichole L King nking@systemsbiology.org
1 Institute for Systems Biology, N 34th Street, Seattle, WA 98103, USA
2 Department of Pathology, University of Michigan, Catherine Road, Ann Arbor, MI 48109, USA
3 Louis Warschaw Prostate Cancer Center, Cedars-Sinai Medical Center, W. Third St, Los Angeles, CA 90048, USA
4 PHSD, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
5 Nestlé Research Center, 1000 Lausanne 26, Switzerland
6 Department of Molecular Biology and Biochemistry, Wesleyan University, Middletown, CT 06459, USA
7 Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA
8 IMSB, ETH Zurich and Faculty of Science, University of Zurich, Zurich, Switzerland
9 University Health Network, Ontario Cancer Institute and McLaughlin Centre for Molecular Medicine, College Street, Toronto, ON M5G 1L7, Canada
Genome Biology 2006, 7:R106 doi:10.1186/gb-2006-7-11-r106
Published: 13 November 2006Additional files
Additional data file 1:
A comma-separated text file. The table includes the ftp addresses of the datasets and the number of ORFs unique to each dataset.
Format: CSV Size: 1KB Download file
Additional data file 2:
A comma-separated text file. Included are the number of times their peptides were observed and the best PeptideProphet probability associated with their peptides.
Format: CSV Size: 12KB Download file
Additional data file 3:
A comma-separated text file. Included are the number of times their peptides were observed, and the best PeptideProphet probability associated with their peptides.
Format: CSV Size: 2KB Download file
Additional data file 4:
A comma-separated text file. Included are the number of times their peptides were observed, and the best PeptideProphet probability associated with their peptides.
Format: CSV Size: 1KB Download file