Open Access Highly Accessed Research article

Using next generation transcriptome sequencing to predict an ectomycorrhizal metabolome

Peter E Larsen1*, Avinash Sreedasyam2, Geetika Trivedi2, Gopi K Podila2, Leland J Cseke2 and Frank R Collart1

Author Affiliations

1 Biosciences Division, Argonne National Laboratory, Lemont, IL 60490, USA

2 Department of Biological Sciences, University of Alabama in Huntsville, Huntsville, AL 35899, USA

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BMC Systems Biology 2011, 5:70  doi:10.1186/1752-0509-5-70

Published: 13 May 2011

Additional files

Additional file 1:

Data S1. The complete predicted mycorhhizal matabolome is available for download as a 'Cytoscape' file. Figure S1. An interactive version of Figure 1 is available at http://www.bio.anl.gov/molecular_and_systems_biology/MycorMetabolome/Supplementalfigures.htm webcite.

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