Open Access Highly Accessed Software

Performing statistical analyses on quantitative data in Taverna workflows: An example using R and maxdBrowse to identify differentially-expressed genes from microarray data

Peter Li1*, Juan I Castrillo2, Giles Velarde1, Ingo Wassink3, Stian Soiland-Reyes4, Stuart Owen4, David Withers4, Tom Oinn5, Matthew R Pocock6, Carole A Goble4, Stephen G Oliver2 and Douglas B Kell1

Author Affiliations

1 Manchester Centre for Integrative Systems Biology and School of Chemistry, Manchester Interdisciplinary Biocentre, University of Manchester, 131 Princess St, Manchester, M1 7DN, UK

2 Department of Biochemistry, Sanger Building, University of Cambridge, 80 Tennis Court Road, Cambridge, CB2 1GA, UK

3 Human Media Interaction group, Electrical Engineering, Mathematics and Computer Science, University of Twente, Drienerlolaan 5, 7500 AE, Enschede, The Netherlands

4 School of Computer Science, Kilburn Building, University of Manchester, Oxford Road, Manchester, M13 9PL, UK

5 EMBL European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK

6 School of Computing Science, University of Newcastle, NE1 7RU, UK

For all author emails, please log on.

BMC Bioinformatics 2008, 9:334  doi:10.1186/1471-2105-9-334

Published: 7 August 2008

Additional files

Additional file 1:

Workflow.

Format: XML Size: 62KB Download file

Open Data

Additional file 2:

Carbon t-test.

Format: ZIP Size: 2MB Download file

Open Data

Additional file 3:

Nitrogen t-test.

Format: ZIP Size: 19.5MB Download file

Open Data