Your browser doesn't support javascript.
loading
ESPERANTO: a GLP-field sEmi-SuPERvised toxicogenomics metadAta curatioN TOol.
Di Lieto, Emanuele; Serra, Angela; Inkala, Simo Iisakki; Saarimäki, Laura Aliisa; Del Giudice, Giusy; Fratello, Michele; Hautanen, Veera; Annala, Maria; Federico, Antonio; Greco, Dario.
Afiliación
  • Di Lieto E; FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
  • Serra A; FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
  • Inkala SI; Tampere Institute for Advanced Study, Tampere, 33520, Finland.
  • Saarimäki LA; FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
  • Del Giudice G; FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
  • Fratello M; FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
  • Hautanen V; FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
  • Annala M; FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
  • Federico A; FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
  • Greco D; FHAIVE, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520, Finland.
Bioinformatics ; 39(6)2023 06 01.
Article en En | MEDLINE | ID: mdl-37354497
SUMMARY: Biological data repositories are an invaluable source of publicly available research evidence. Unfortunately, the lack of convergence of the scientific community on a common metadata annotation strategy has resulted in large amounts of data with low FAIRness (Findable, Accessible, Interoperable and Reusable). The possibility of generating high-quality insights from their integration relies on data curation, which is typically an error-prone process while also being expensive in terms of time and human labour. Here, we present ESPERANTO, an innovative framework that enables a standardized semi-supervised harmonization and integration of toxicogenomics metadata and increases their FAIRness in a Good Laboratory Practice-compliant fashion. The harmonization across metadata is guaranteed with the definition of an ad hoc vocabulary. The tool interface is designed to support the user in metadata harmonization in a user-friendly manner, regardless of the background and the type of expertise. AVAILABILITY AND IMPLEMENTATION: ESPERANTO and its user manual are freely available for academic purposes at https://github.com/fhaive/esperanto. The input and the results showcased in Supplementary File S1 are available at the same link.
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Metadatos Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Finlandia Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Metadatos Tipo de estudio: Guideline Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Finlandia Pais de publicación: Reino Unido