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Computational biology and bioinformatics

A drop of seawater can contain more than a million microorganisms and a gram of soil up to ten billion microbial cells. These environments have an enormous microbial taxonomic diversity possessing a variety of metabolic functions that differ over space and time. While metagenomics and transcriptomics can give insights into the taxonomic and functional diversity of the environment, functional proteomics and metabolomic studies give us a snapshot of the direct biochemical state of a cell at a given time. At even higher resolutions, protein functions and evolutionary histories can be modeled using novel computational tools. With the increase in computational power, new technologies have been developed to study large collections of biological data, and have improved model approaches to gain insights into this microbial taxonomic and metabolic diversity. Contributions from modeling, simulation, and omics, to better understand microbial life and their functioning, from the scale of the environment to that of molecules, are welcome.

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