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Orchidstra 2.0-A Transcriptomics Resource for the Orchid Family.
Chao, Ya-Ting; Yen, Shao-Hua; Yeh, Jen-Hau; Chen, Wan-Chieh; Shih, Ming-Che.
Afiliación
  • Chao YT; Agricultural Biotechnology Research Center, Academia Sinica, Nankang, Taipei, Taiwan.
  • Yen SH; Agricultural Biotechnology Research Center, Academia Sinica, Nankang, Taipei, Taiwan.
  • Yeh JH; Agricultural Biotechnology Research Center, Academia Sinica, Nankang, Taipei, Taiwan.
  • Chen WC; Agricultural Biotechnology Research Center, Academia Sinica, Nankang, Taipei, Taiwan.
  • Shih MC; Agricultural Biotechnology Research Center, Academia Sinica, Nankang, Taipei, Taiwan.
Plant Cell Physiol ; 58(1): e9, 2017 01 01.
Article en En | MEDLINE | ID: mdl-28111366
ABSTRACT
Orchidaceae, the orchid family, encompasses more than 25,000 species and five subfamilies. Due to their beautiful and exotic flowers, distinct biological and ecological features, orchids have aroused wide interest among both researchers and the general public. We constructed the Orchidstra database, a resource for orchid transcriptome assembly and gene annotations. The Orchistra database has been under active development since 2013. To accommodate the increasing amount of orchid transcriptome data and house more comprehensive information, Orchidstra 2.0 has been built with a new database system to store the annotations of 510,947 protein-coding genes and 161,826 noncoding transcripts, covering 18 orchid species belonging to 12 genera in five subfamilies of Orchidaceae. We have improved the N50 size of protein-coding genes, provided new functional annotations (including protein-coding gene annotations, protein domain/family information, pathways analysis, Gene Ontology term assignments, orthologous genes across orchid species, cross-links to the database of model species, and miRNA information), and improved the user interface with better website performance. We also provide new database functionalities for database searching and sequence retrieval. Moreover, the Orchidstra 2.0 database incorporates detailed RNA-Seq gene expression data from various tissues and developmental stages in different orchid species. The database will be useful for gene prediction and gene family studies, and for exploring gene expression in orchid species. The Orchidstra 2.0 database is freely accessible at http//orchidstra2.abrc.sinica.edu.tw.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Regulación de la Expresión Génica de las Plantas / Regulación del Desarrollo de la Expresión Génica / Bases de Datos Genéticas / Transcriptoma Tipo de estudio: Prognostic_studies Idioma: En Revista: Plant Cell Physiol Asunto de la revista: BOTANICA Año: 2017 Tipo del documento: Article País de afiliación: Taiwán

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Regulación de la Expresión Génica de las Plantas / Regulación del Desarrollo de la Expresión Génica / Bases de Datos Genéticas / Transcriptoma Tipo de estudio: Prognostic_studies Idioma: En Revista: Plant Cell Physiol Asunto de la revista: BOTANICA Año: 2017 Tipo del documento: Article País de afiliación: Taiwán