The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
ePlant: Visualizing and Exploring Multiple Levels of Data for Hypothesis Generation in Plant Biology
Open accessAbstract
data through a zoomable user interface. ePlant connects to several publicly available web services to download genome, proteome, interactome, transcriptome, and 3D molecular structure data for one or more genes or gene products of interest. Data are displayed with a set of visualization tools that are presented using a conceptual hierarchy from big to small, and many of the tools combine information from more than one data type. We describe the development of ePlant in this article and present several examples illustrating its integrative features for hypothesis generation. We also describe the process of deploying ePlant as an "app" on Araport. Building on readily available web services, the code for ePlant is freely available for any other biological species research.
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Cited by
Houben, M., & Van de Poel, B. (2019) · Frontiers in Plant Science · doi:10.3389/fpls.2019.00695 · Cited by 420
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Metadata
- Authors
- Waese, J., Fan, J., Pasha, A., Yu, H., Fucile, G., Shi, R., Cumming, M., Kelley, L. A., Sternberg, M. J., Krishnakumar, V., Ferlanti, E., Miller, J., Town, C., Stuerzlinger, W., & Provart, N. J.
- Venue
- The Plant Cell
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-08
- Volume
- 29
- Issue
- 8
- Pages
- 1806-1821
- ISSN
- 1040-4651 (ISSN-L)
- 1532-298X
- OpenAlex
- W2746949165
- Cited by
- 462
- References
- 53
- FWCI
- 12.42
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Waese, J., Fan, J., Pasha, A., Yu, H., Fucile, G., Shi, R., Cumming, M., Kelley, L. A., Sternberg, M. J., Krishnakumar, V., Ferlanti, E., Miller, J., Town, C., Stuerzlinger, W., & Provart, N. J. (2017). ePlant: Visualizing and Exploring Multiple Levels of Data for Hypothesis Generation in Plant Biology. The Plant Cell. https://doi.org/10.1105/tpc.17.00073
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