OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data

Open Access

Peer-reviewed

Research Article

About the Authors

Raga Krishnakumar

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

Affiliation Systems Biology Department, Sandia National Laboratories, Livermore, California, United States of America

Anne M. Ruffing

Roles Conceptualization, Funding acquisition, Project administration, Writing – review & editing

Affiliation Molecular and Microbiology Department, Sandia National Laboratories, Albuquerque, New Mexico, United States of America

The authors have declared that no competing interests exist.

Operons
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Machine learning algorithms
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Algorithms
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Machine learning
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Forecasting
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Escherichia coli
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RNA structure
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Prokaryotic cells
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