Ontology highlight
ABSTRACT: Background
The analysis and interpretation of data generated from patient-derived clinical samples relies on access to high-quality bioinformatics resources. These are maintained and updated by expert curators extracting knowledge from unstructured biological data described in free-text journal articles and converting this into more structured, computationally-accessible forms. This enables analyses such as functional enrichment of sets of genes/proteins using the Gene Ontology, and makes the searching of data more productive by managing issues such as gene/protein name synonyms, identifier mapping, and data quality.Objective
To undertake a coordinated annotation update of key public-domain resources to better support Alzheimer's disease research.Methods
We have sys
SUBMITTER: Breuza L
PROVIDER: S-EPMC7592670 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature