DTA-SiST: de novo transcriptome assembly by using simplified suffix trees.

Zhao, Jin; Feng, Haodi; Zhu, Daming; Zhang, Chi; Xu, Ying

Zhao, Jin; Feng, Haodi; Zhu, Daming; Zhang, Chi; Xu, Ying.

Afiliación

Zhao J; School of Computer Science and Technology, Shandong University, Binhai Road, Qingdao, Shandong, People's Republic of China.
Feng H; School of Computer Science and Technology, Shandong University, Binhai Road, Qingdao, Shandong, People's Republic of China. fenghaodi@sdu.edu.cn.
Zhu D; School of Computer Science and Technology, Shandong University, Binhai Road, Qingdao, Shandong, People's Republic of China.
Zhang C; Department of Medical and Molecular Genetics and Center for Computational Biology and Bioinformatics, Indiana University, Indianapolis, IN, USA.
Xu Y; Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, USA.

BMC Bioinformatics ; 20(Suppl 25): 698, 2019 Dec 24.

Article en En | MEDLINE | ID: mdl-31874618

Asunto(s)

Transcriptoma; Algoritmos; Secuenciación de Nucleótidos de Alto Rendimiento/métodos; Programas Informáticos

Palabras clave

Alternative splicing; De novo assembly; RNA-seq

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Transcriptoma Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article

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