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ScSmOP: a universal computational pipeline for single-cell single-molecule multiomics data analysis.
Jing, Kai; Xu, Yewen; Yang, Yang; Yin, Pengfei; Ning, Duo; Huang, Guangyu; Deng, Yuqing; Chen, Gengzhan; Li, Guoliang; Tian, Simon Zhongyuan; Zheng, Meizhen.
Afiliación
  • Jing K; Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.
  • Xu Y; Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.
  • Yang Y; Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.
  • Yin P; Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.
  • Ning D; Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.
  • Huang G; Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.
  • Deng Y; Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.
  • Chen G; Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.
  • Li G; Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.
  • Tian SZ; Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.
  • Zheng M; Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.
Brief Bioinform ; 24(6)2023 09 22.
Article en En | MEDLINE | ID: mdl-37779245
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica / Multiómica Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
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Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genómica / Multiómica Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China