About This Theme
In order to understand and exploit the interactions between crop genotypes, phenotypes, and microbial associations, a substantial investment in the development of a wide variety of novel computational methods, softwares, and systems is needed.
The computational informatics theme will provide the P2IRC research team with the infrastructure, tools, and techniques needed for high-throughput computing, analyzing and processing image data, exploring genotype-phenotype relationships, and collaborative opportunities. In addition, Theme 3 assists the P2IRC project in shifting towards the future of big data and digital agriculture.
Theme 3 is the key to integrating phenotypic imagery with genomic information and will ultimately allow non-specialists to use comprehensive phenotypic databases. By providing computational services to enhance themes 1, 2, and 4 and foster program-wide collaboration, the impact on global food security will be greater than the sum of the parts.
The following research projects are currently underway within the Computational Informatics theme:
Project 3.1
P2IRC Cloud: Big Data Analytics for Crop Phenomics
This project looks at building and developing a Cloud framework to use, store, and share P2IRC data.
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Project 3.2
Data Analysis for Rapid Plant Phenotyping
This research focuses on the development of digital phenotyping using data from plant imaging.
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Project 3.3
Genotype & Environment to Phenotype (GE2P)
This research focuses on bioinformatics, or developing software for understanding biological plant data.
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Project 3.4
Systems and Collaboration
This project focuses on expanding collaborative capabilities and exploiting information over the web.
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Project 3.5
Mechanistic Modeling of Plant Development for Plant Phenomics
Project 3.5 develops software to model plants.
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