pTrimmer: An efficient tool to trim primers of multiplex deep sequencing data.

Zhang, Xiaolong; Shao, Yanyan; Tian, Jichao; Liao, Yuwei; Li, Peiying; Zhang, Yu; Chen, Jun; Li, Zhiguang

Zhang, Xiaolong; Shao, Yanyan; Tian, Jichao; Liao, Yuwei; Li, Peiying; Zhang, Yu; Chen, Jun; Li, Zhiguang.

Afiliación

Zhang X; Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, China.
Shao Y; Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, China.
Tian J; Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, China.
Liao Y; Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, China.
Li P; Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, China.
Zhang Y; Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, China.
Chen J; The Second Hospital of Dalian Medical University, 467th Zhongshan Road, Shahekou District, Dalian, 116023, Liaoning, China. chenjundl@vip.sina.com.
Li Z; Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, China. zhiguangli2013@126.com.

BMC Bioinformatics ; 20(1): 236, 2019 May 10.

Article en En | MEDLINE | ID: mdl-31077131

Asunto(s)

Secuenciación de Nucleótidos de Alto Rendimiento/métodos; Análisis de Secuencia de ADN/métodos; Algoritmos; Humanos

Palabras clave

Multiplex amplicon sequencing; Primer trimming; Target sequencing

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Análisis de Secuencia de ADN / Secuenciación de Nucleótidos de Alto Rendimiento Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: China

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