Utilizing Amino Acid Composition and Entropy of Potential Open Reading Frames to Identify Protein-Coding Genes.

McNair, Katelyn; Ecale Zhou, Carol L; Souza, Brian; Malfatti, Stephanie; Edwards, Robert A

McNair, Katelyn; Ecale Zhou, Carol L; Souza, Brian; Malfatti, Stephanie; Edwards, Robert A.

Afiliación

McNair K; Computational Sciences Research Center, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182, USA.
Ecale Zhou CL; Lawrence Livermore National Laboratory, Global Security Computing Applications, Livermore, CA 94550, USA.
Souza B; Lawrence Livermore National Laboratory, Biological Sciences Research Division, Livermore, CA 94550, USA.
Malfatti S; Lawrence Livermore National Laboratory, Biological Sciences Research Division, Livermore, CA 94550, USA.
Edwards RA; Computational Sciences Research Center, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182, USA.

Microorganisms ; 9(1)2021 Jan 08.

Article en En | MEDLINE | ID: mdl-33429904

Palabras clave

annotation; clustering; gene; genome; machine learning; phage; prediction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Microorganisms Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

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