Open Access Highly Accessed Methodology article

Whole Genome Profiling provides a robust framework for physical mapping and sequencing in the highly complex and repetitive wheat genome

Romain Philippe1, Frédéric Choulet1, Etienne Paux1, Jan van Oeveren2, Jifeng Tang2, Alexander HJ Wittenberg2, Antoine Janssen2, Michiel JT van Eijk2, Keith Stormo3, Adriana Alberti4, Patrick Wincker4, Eduard Akhunov5, Edwin van der Vossen2 and Catherine Feuillet1*

Author Affiliations

1 INRA-UBP, UMR1095, Genetics Diversity and Ecophysiology of Cereals, 234 Avenue du Brezet, 63100 Clermont- Ferrand, France

2 Keygene N.V., Agro Business Park 90, 6708 PW, Wageningen, The Netherlands

3 Amplicon Express Inc., 2345 NE Hopkins Ct., Pullman, WA, USA

4 CEA-CNS, 2 rue Gaston Crémieux, CP5706, 91057 Evry cedex, France

5 Department of Plant Pathology, Kansas State University, Manhattan, KS, USA

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BMC Genomics 2012, 13:47  doi:10.1186/1471-2164-13-47

Published: 30 January 2012

Additional files

Additional file 1:

Distribution of the contig size in the optimal WGP and SNaPshot physical maps.

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Open Data

Additional file 2:

Summary of the assemblies of 454 reads from 24 BACs representing 3,099,952 bp performed with or without Paired-End reads and with or without the integration of WGP tags at different sequencing coverage.

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Open Data

Additional file 3:

Percentage of gaps in the scaffolds obtained by integrating WGP tags with 454 unpaired reads at different levels of reference contig coverage.

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Open Data

Additional file 4:

List of the BACs sequenced in each pool and size of the sequence covered by each pool.

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Open Data