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Grimplet, J - Autor (correspondencia)
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Publicaciones > Capítulos de Libro

The Grapevine Genome Annotation

Publicado en:Genomes Of Rosaceous Berries And Their Wild Relatives. 89-101 - 2019-01-01 (), doi: 10.1007/978-3-030-18601-2_6

Grimplet, J;

Afiliaciones

Centro de Investigación y Tecnología Agroalimentaria de Aragón - Entidad de origen
Univ Nevada, Dept Biochem & Mol Biol, Reno, NV 89557 USA - Autor o Coautor
Univ Zaragoza, CITA, Ctr Invest & Tecnol Agroalimentaria Aragon, Inst Agroalimentario Aragon IA2,Unidad Hortofruti, Zaragoza 50059, Spain - Autor o Coautor

Resúmen

Resúmen: The release of the grapevine genome sequence has allowed the generation of invaluable data on gene function, providing tools for a better understanding of the plant biology. To capitalize on this information, the annotation of the genome has been an ongoing effort performed by the research community on that species. Annotation initiatives can take the form of automatic annotation with gene prediction performed in silico based on the knowledge of other species and transcriptomic data as well as manual curation and integration of results from the literature. The International Grape Genome Program created recently a committee to harmonize the annotation process. The primary aims of the committee are to provide a unified high quality and highly accessible annotation of grapevine genes. To reach that objective, standard nomenclature for locus identifiers and conventions for a gene naming system were set up. Genome annotation is a work in progress because of new improved annotation technologies and new discoveries of structural components and functions within the genome. As technology and knowledge on genome functioning improves, it is expected that new challenges and perspectives will arise in the field of genome annotation such as the integration of the role of non-coding areas of the genome or the integration of polymorphic diversity within cultivars.

Palabras clave: Aquaporins; Expression; Gene family; Identification; Integration; Noncoding rnas; Prediction; Reveals; Sequence; Transcriptome characterization

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