Open AccessA Coordinated Approach by Public Domain Bioinformatics Resources to Aid the Fight Against Alzheimer’s Disease Through Expert Curation of Key Protein Targets
Author(s) -
Lionel Breuza,
Cecilia N. Arighi,
Ghislaine Argoud-Puy,
Cristina Casals-Casas,
Anne Estreicher,
Maria Livia Famiglietti,
George P. Georghiou,
Arnaud Gos,
Nadine Gruaz-Gumowski,
Ursula Hinz,
Nevila HykaNouspikel,
Barbara Kramarz,
Ruth C. Lovering,
Yvonne C. Lussi,
Michele Magrane,
Patrick Masson,
Livia Perfetto,
Sylvain Poux,
M. Rodríguez-López,
Christian J. Stoeckert,
Shyamala Sundaram,
Li-San Wang,
Elizabeth Wu,
Sandra Orchard
Publication year - 2020
Publication title -
journal of alzheimer's disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.677
H-Index - 139
eISSN - 1875-8908
pISSN - 1387-2877
DOI - 10.3233/jad-200206
Subject(s) - uniprot , identifier , ontology , data curation , computer science , gene ontology , data science , domain (mathematical analysis) , public domain , computational biology , gene , biology , geography , mathematical analysis , philosophy , gene expression , mathematics , epistemology , programming language , biochemistry , archaeology
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.