Microbial Forensics: Predicting Phenotypic Characteristics and Environmental Conditions from Large-Scale Gene Expression Profiles

Minseung Kim; Violeta Zorraquino; Ilias Tagkopoulos

doi:10.1371/journal.pcbi.1004127

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Open Access

Peer-reviewed

Research Article

Microbial Forensics: Predicting Phenotypic Characteristics and Environmental Conditions from Large-Scale Gene Expression Profiles

Minseung Kim,

Affiliations Department of Computer Science, University of California, Davis, Davis, California, United States of America, UC Davis Genome Center, University of California, Davis, Davis, California, United States of America
⨯
Violeta Zorraquino,

Affiliation UC Davis Genome Center, University of California, Davis, Davis, California, United States of America
⨯
Ilias Tagkopoulos

* E-mail: itagkopoulos@ucdavis.edu

Affiliations Department of Computer Science, University of California, Davis, Davis, California, United States of America, UC Davis Genome Center, University of California, Davis, Davis, California, United States of America
⨯

Microbial Forensics: Predicting Phenotypic Characteristics and Environmental Conditions from Large-Scale Gene Expression Profiles

Minseung Kim,
Violeta Zorraquino,
Ilias Tagkopoulos

Published: March 16, 2015
https://doi.org/10.1371/journal.pcbi.1004127

About the Authors

Minseung Kim

Affiliations Department of Computer Science, University of California, Davis, Davis, California, United States of America, UC Davis Genome Center, University of California, Davis, Davis, California, United States of America

Violeta Zorraquino

Affiliation UC Davis Genome Center, University of California, Davis, Davis, California, United States of America

Ilias Tagkopoulos

* E-mail: itagkopoulos@ucdavis.edu

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: IT. Performed the experiments: MK VZ. Analyzed the data: IT MK VZ. Contributed reagents/materials/analysis tools: MK VZ. Wrote the paper: MK VZ IT.

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Gene expression
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Machine learning
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Biosynthesis
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Oxygen
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Antibiotics
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Gene regulation
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Microarrays
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Forecasting
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