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Matasci, N., L.-H. Hung, Z. Yan, E. J. Carpenter, N. J. Wickett, S. Mirarab, N. Nguyen, T. Warnow, S. Ayyampalayam, M. Barker, J. G. Burleigh, M. A. Gitzendanner, E. Wafula, J. P. Der, C. W. dePamphilis, B. Roure, H. Philippe, B. R. Ruhfel, N. W. Miles, S. W. Graham, S. Mathews, B. Surek, M. Melkonian, D. E. Soltis, P. S. Soltis, C. Rothfels, L. Pokorny, J. A. Shaw, L. DeGironimo, D. W. Stevenson, J. C. Villarreal, T. Chen, T. M. Kutchan, M. Rolf, R. S. Baucom, M. K. Deyholos, R. Samudrala, Z. Tian, X. Wu, X. Sun, Y. Zhang, J. Wang, J. Leebens-Mack, and G. K.-S. Wong. 2014. Data access for the 1,000 Plants (1KP) project. GigaScience 3:17. [Link to article on publisher’s site]

Abstract:

The 1,000 plants (1KP) project is an international multi-disciplinary consortium that has generated transcriptome data from over 1,000 plant species, with exemplars for all of the major lineages across the Viridiplantae (green plants) clade. Here, we describe how to access the data used in a phylogenomics analysis of the first 85 species, and how to visualize our gene and species trees. Users can develop computational pipelines to analyse these data, in conjunction with data of their own that they can upload. Computationally estimated protein-protein interactions and biochemical pathways can be visualized at another site. Finally, we comment on our future plans and how they fit within this scalable system for the dissemination, visualization, and analysis of large multi-species data sets.