📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A machine learning framework for discovery and enrichment of metagenomics metadata from open access publications. (2022)

First Author: Nassar M

Attributed to: EMERALD - Enriching MEtagenomics Results using Artificial intelligence and Literature Data funded by BBSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/gigascience/giac077

PubMed Identifier: 35950838

Publication URI: http://europepmc.org/abstract/MED/35950838

Type: Journal Article/Review

Volume: 11

Parent Publication: GigaScience

ISSN: 2047-217X