EdClust: A heuristic sequence clustering method with higher sensitivity.

Cao, Ming; Peng, Qinke; Wei, Ze-Gang; Liu, Fei; Hou, Yi-Fan

Cao, Ming; Peng, Qinke; Wei, Ze-Gang; Liu, Fei; Hou, Yi-Fan.

Afiliación

Cao M; Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, P. R. China.
Peng Q; School of Mathematics and Statistics, Shaanxi Xueqian Normal University, Xi'an, 710100, P. R. China.
Wei ZG; Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, P. R. China.
Liu F; Institute of Physics and Optoelectronics Technology, Baoji University of Arts and Sciences, Baoji, 721016, P. R. China.
Hou YF; Institute of Physics and Optoelectronics Technology, Baoji University of Arts and Sciences, Baoji, 721016, P. R. China.

J Bioinform Comput Biol ; 20(1): 2150036, 2022 02.

Article en En | MEDLINE | ID: mdl-34939905

Asunto(s)

Heurística; Programas Informáticos; Algoritmos; Análisis por Conglomerados; Alineación de Secuencia

Palabras clave

Heuristic clustering; high-throughput sequencing; metagenomics; sequence clustering

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Heurística Tipo de estudio: Diagnostic_studies Idioma: En Revista: J Bioinform Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article

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