Increasing metadata coverage of SRA BioSample entries using deep learning–based named entity recognition

High-quality metadata annotations for data hosted in large public repositories are essential for research reproducibility and for conducting fast, powerful and scalable meta-analyses. Currently, a majority of sequencing samples in the National Center for Biotechnology Information’s Sequence Read Arc...

Descripción completa

Detalles Bibliográficos
Autores principales: Klie, Adam, Tsui, Brian Y, Mollah, Shamim, Skola, Dylan, Dow, Michelle, Hsu, Chun-Nan, Carter, Hannah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083811/
https://www.ncbi.nlm.nih.gov/pubmed/33914028
http://dx.doi.org/10.1093/database/baab021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083811/
https://www.ncbi.nlm.nih.gov/pubmed/33914028
http://dx.doi.org/10.1093/database/baab021

Ejemplares similares