Data access for the 1,000 Plants (1KP) project
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Author(s)
Wu, Xiaolei
Wafula, Eric
Yan, Zhixiang
Kutchan, Toni M.
Gitzendanner, Matthew A
Shaw, Jonathan A.
Chen, Tao.
Wickett, Norman J.
Nguyen, Nam
Burleigh, J Gordon
Miles, Nicholas W.
Soltis, Pamela S.
Melkonian, Michael
Deyholos, Michael K.
Matasci, Naim
DeGironimo, Lisa
Samudrala, Ram
Leebens-Mack, Jim
Mirarab, Siavash
Barker, Michael
Sun, Xiao
Soltis, Douglas E.
Rolf, Megan
Tian, Zhijian
Wong, Gane K
Rothfels, Carl
Pokorny, Lisa
Zhang, Yong
Ayyampalayam, Saravanaraj
Graham, Sean W.
Roure, Béatrice
Der, Joshua P.
Wang, Jun
Mathews, Sarah
Surek, Barbara
Baucom, Regina S.
Ruhfel, Brad R.
Villarreal, Juan C.
Stevenson, Dennis W.
Hung, Ling-Hong
Warnow, Tandy
Philippe, Hervé
Carpenter, Eric J.
Wafula, Eric
Yan, Zhixiang
Kutchan, Toni M.
Gitzendanner, Matthew A
Shaw, Jonathan A.
Chen, Tao.
Wickett, Norman J.
Nguyen, Nam
Burleigh, J Gordon
Miles, Nicholas W.
Soltis, Pamela S.
Melkonian, Michael
Deyholos, Michael K.
Matasci, Naim
DeGironimo, Lisa
Samudrala, Ram
Leebens-Mack, Jim
Mirarab, Siavash
Barker, Michael
Sun, Xiao
Soltis, Douglas E.
Rolf, Megan
Tian, Zhijian
Wong, Gane K
Rothfels, Carl
Pokorny, Lisa
Zhang, Yong
Ayyampalayam, Saravanaraj
Graham, Sean W.
Roure, Béatrice
Der, Joshua P.
Wang, Jun
Mathews, Sarah
Surek, Barbara
Baucom, Regina S.
Ruhfel, Brad R.
Villarreal, Juan C.
Stevenson, Dennis W.
Hung, Ling-Hong
Warnow, Tandy
Philippe, Hervé
Carpenter, Eric J.
Citation for Previous Publication
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Abstract
Description
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.
Item Type
http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/version/c_970fb48d4fbd8a85
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© 2014 Matasci et al. licensee BioMed Central Ltd.
Language
en