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sRIS: A Small RNA Illustration System for Plant Next-Generation Sequencing Data Analysis.
Tseng, Kuan-Chieh; Chiang-Hsieh, Yi-Fan; Pai, Hsuan; Wu, Nai-Yun; Zheng, Han-Qin; Chow, Chi-Nga; Lee, Tzong-Yi; Chang, Song-Bin; Lin, Na-Sheng; Chang, Wen-Chi.
Afiliação
  • Tseng KC; Department of Life Sciences, National Cheng Kung University, Tainan 701, Taiwan.
  • Chiang-Hsieh YF; College of Biosciences and Biotechnology, Institute of Tropical Plant Sciences and Microbiology, National Cheng Kung University, Tainan 701, Taiwan.
  • Pai H; Institute of Plant and Microbial Biology, Academia Sinica, Nankang, Taipei 115, Taiwan.
  • Wu NY; College of Biosciences and Biotechnology, Institute of Tropical Plant Sciences and Microbiology, National Cheng Kung University, Tainan 701, Taiwan.
  • Zheng HQ; College of Biosciences and Biotechnology, Institute of Tropical Plant Sciences and Microbiology, National Cheng Kung University, Tainan 701, Taiwan.
  • Chow CN; College of Biosciences and Biotechnology, NCKU-AS Graduate Program in Translational Agricultural Sciences, National Cheng Kung University, Tainan 70101, Taiwan.
  • Lee TY; School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China.
  • Chang SB; School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China.
  • Lin NS; Department of Life Sciences, National Cheng Kung University, Tainan 701, Taiwan.
  • Chang WC; Institute of Plant and Microbial Biology, Academia Sinica, Nankang, Taipei 115, Taiwan.
Plant Cell Physiol ; 61(6): 1204-1212, 2020 Jun 01.
Article em En | MEDLINE | ID: mdl-32181856
ABSTRACT
Small RNA (sRNA), such as microRNA (miRNA) and short interfering RNA, are well-known to control gene expression based on degradation of target mRNA in plants. A considerable amount of research has applied next-generation sequencing (NGS) to reveal the regulatory pathways of plant sRNAs. Consequently, numerous bioinformatics tools have been developed for the purpose of analyzing sRNA NGS data. However, most methods focus on the study of sRNA expression profiles or novel miRNAs predictions. The analysis of sRNA target genes is usually not integrated into their pipelines. As a result, there is still no means available for identifying the interaction mechanisms between host and virus or the synergistic effects between two viruses. For the present study, a comprehensive system, called the Small RNA Illustration System (sRIS), has been developed. This system contains two main components. The first is for sRNA overview analysis and can be used not only to identify miRNA but also to investigate virus-derived small interfering RNA. The second component is for sRNA target prediction, and it employs both bioinformatics calculations and degradome sequencing data to enhance the accuracy of target prediction. In addition, this system has been designed so that figures and tables for the outputs of each analysis can be easily retrieved and accessed, making it easier for users to quickly identify and quantify their results. sRIS is available at http//sris.itps.ncku.edu.tw/.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / RNA de Plantas / Genoma de Planta / Pequeno RNA não Traduzido / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / RNA de Plantas / Genoma de Planta / Pequeno RNA não Traduzido / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2020 Tipo de documento: Article