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Challenges and Perspectives in Modeling Plant?Microbe Intera | 90044

Journal of Microbiology and Immunology

Abstract

Challenges and Perspectives in Modeling Plant?Microbe Interactions

Richard Jacoby*

With the vast quantity of data being generated by highthroughput experimental techniques, new opportunities are arising to integrate theoretical and computational approaches with experiments. Potential synergies include designing hypothesis-driven experiments based on the results of modeled scenarios, or using modeling as a tool to mechanistically interpret the results of high-throughput experiments. In the bacterial field, there is currently a major initiative to integrate genomic sequencing data with computational modeling, in order to predict the function of individual bacterial strains and whole bacterial communities.

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