3GOLD: optimized Levenshtein distance for clustering third-generation sequencing data.

Logan, Robert; Fleischmann, Zoe; Annis, Sofia; Wehe, Amy Wangsness; Tilly, Jonathan L; Woods, Dori C; Khrapko, Konstantin

Logan, Robert; Fleischmann, Zoe; Annis, Sofia; Wehe, Amy Wangsness; Tilly, Jonathan L; Woods, Dori C; Khrapko, Konstantin.

Afiliación

Logan R; College of Science, Department of Biology, Northeastern University, 330 Huntington Ave, Boston, MA, 02115, USA.
Fleischmann Z; Department of Biology, Eastern Nazarene College, 23 E Elm Ave, Quincy, MA, 02170, USA.
Annis S; College of Science, Department of Biology, Northeastern University, 330 Huntington Ave, Boston, MA, 02115, USA.
Wehe AW; College of Science, Department of Biology, Northeastern University, 330 Huntington Ave, Boston, MA, 02115, USA.
Tilly JL; Health and Natural Sciences Division, Mathematics Department, Fitchburg State University, Fitchburg, MA, 01420-2697, USA.
Woods DC; College of Science, Department of Biology, Northeastern University, 330 Huntington Ave, Boston, MA, 02115, USA.
Khrapko K; College of Science, Department of Biology, Northeastern University, 330 Huntington Ave, Boston, MA, 02115, USA.

BMC Bioinformatics ; 23(1): 95, 2022 Mar 20.

Article en En | MEDLINE | ID: mdl-35307007

Asunto(s)

Algoritmos; Secuenciación de Nucleótidos de Alto Rendimiento; Análisis por Conglomerados; Análisis de Secuencia de ADN

Palabras clave

Clustering; Edit-distance; Single-molecule sequencing

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Secuenciación de Nucleótidos de Alto Rendimiento Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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