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Gene ontology functional annotation datasets for the ITAG3.2 and ITAG4.0 tomato (Solanum lycopersicum) genome annotations.
Rivera-Silva, Ricardo; Chávez Montes, Ricardo A; Jaimes-Miranda, Fabiola.
Afiliación
  • Rivera-Silva R; División de Biología Molecular, IPICYT, San Luis Potosí, 78216, Mexico.
  • Chávez Montes RA; Department of Biology, Indiana University, Bloomington, IN 47405, USA.
  • Jaimes-Miranda F; CONAHCyT-IPICYT/División de Biología Molecular, San Luis Potosí, 78216, Mexico.
Data Brief ; 54: 110401, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38646191
ABSTRACT
Functional annotation based on Gene Ontology has provided a structured and comprehensive system to access the current knowledge about the function of genes. For model plants such as Arabidopsis thaliana, there is a constant updating and restructuring of the functional annotation that increases the reliability of the analyses that use it. For tomato (Solanum lycopersicum), a crop widely used as a model plant for the study of fleshy fruits, there is no functional annotation, at least not freely accessible, even though its genome has long been sequenced and annotated. In this work, we generated, using a simplified version of the maize GAMER pipeline, a tomato Gene Ontology functional annotation with 72.42% (ITAG3.2) and 74.2% (ITAG4.0) of protein-coding genes with at least one GO term association. With this dataset, we share a reliable and easy-to-use tool with the tomato community.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2024 Tipo del documento: Article País de afiliación: México

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2024 Tipo del documento: Article País de afiliación: México