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Open AccessHighly AccessResearch article

Exploiting proteomic data for genome annotation and gene model validation in Aspergillus niger

James C Wright1,2 email, Deana Sugden3 email, Sue Francis-McIntyre3 email, Isabel Riba-Garcia3 email, Simon J Gaskell3 email, Igor V Grigoriev4 email, Scott E Baker5 email, Robert J Beynon1 email and Simon J Hubbard2 email

Dept Veterinary Preclinical Sciences, University of Liverpool, Crown Street, Liverpool, L69 7ZJ, UK

Faculty of Life Sciences, University of Manchester, Manchester, M13 9PT, UK

MBCMS, MIB, University of Manchester, Manchester, M13 9PT, UK

DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA

Pacific Northwest National Laboratory, 902 Battelle Blvd, Richland, WA 99354, USA

author email corresponding author email

BMC Genomics 2009, 10:61doi:10.1186/1471-2164-10-61

Published: 4 February 2009

Additional files

Additional File 1:

Proteomic peptide identification data from the APS analysis against the JGI gene models. Lists of all peptide identifications for the APS searches against the JGI predicted gene models are provided, in three different styles. Three worksheets present the data either from the peptide, protein or gene cluster viewpoint.

Format: XLS Size: 1.7MB Download file

This file can be viewed with: Microsoft Excel Viewer


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