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

• Raga Krishnakumar ,

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

  * E-mail: rkrishn@sandia.gov

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

  https://orcid.org/0000-0002-2479-754X

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• 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

  https://orcid.org/0000-0002-6058-1973

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