kMermaid: Ultrafast metagenomic read assignment to protein clusters by hashing of amino acid k-mer frequencies

• Anastasia Lucas,

  Roles Software, Writing – original draft, Writing – review & editing

  Affiliations Genomics and Computational Biology Graduate Group, University of Pennsylvania - Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America, Molecular and Cellular Oncogenesis Program, Ellen and Ronald Caplan Cancer Center, The Wistar Institute, Philadelphia, Pennsylvania, United States of America

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• Daniel E. Schäffer,

  Roles Software, Writing – review & editing

  Affiliations Molecular and Cellular Oncogenesis Program, Ellen and Ronald Caplan Cancer Center, The Wistar Institute, Philadelphia, Pennsylvania, United States of America, Computer Science and Artificial Intelligence Laboratory & Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America

  https://orcid.org/0000-0003-3608-152X

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• Jayamanna Wickramasinghe,

  Roles Data curation, Writing – review & editing

  Affiliation Bioinformatics Facility, The Wistar Institute, Philadelphia, Pennsylvania, United States of America

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• Noam Auslander

  Roles Conceptualization, Software, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: nauslander@wistar.org

  Affiliations Molecular and Cellular Oncogenesis Program, Ellen and Ronald Caplan Cancer Center, The Wistar Institute, Philadelphia, Pennsylvania, United States of America, Department of Cancer Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

  https://orcid.org/0000-0002-2037-1517

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