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LAS: A Lipid Annotation Service Capable of Explaining the Annotations It Generates

Authors :
Mariano Fernández-López
Alberto Gil-de-la-Fuente
Joanna Godzien
Francisco J. Rupérez
Coral Barbas
Abraham Otero
Source :
Computational and Structural Biotechnology Journal, Vol 17, Iss , Pp 1113-1122 (2019)
Publication Year :
2019
Publisher :
Elsevier, 2019.

Abstract

The Lipid Annotation Service (LAS) is a representational state transfer (REST) application programming interface (API) service designed to aid researchers performing lipid annotation. It assigns certainty levels (very unlikely, unlikely, likely, and very likely) to the putative annotations received as input and explains the rationale of such assignments. Its rules, obtained from the Centre for Metabolomics and Bioanalysis (CEMBIO) and from a literature review, enable LAS to extract evidence to support or refute the annotations automatically by checking the inter-rule relationships.LAS is the first metabolite annotation tool capable of explaining in natural language (English) the evidence that supports or refutes the annotations. This facilitates the understanding of the results by the user and, thus, increases the user's confidence in the results. Concerning its performance, in an evaluation of blood plasma samples whose compounds had previously been identified using well-established standards, LAS yielded an F-measure higher than 80%. Keywords: Lipid annotation, Explanations in natural language, Knowledge based system, REST API service

Subjects

Subjects :
Biotechnology
TP248.13-248.65

Details

Language :
English
ISSN :
20010370
Volume :
17
Issue :
1113-1122
Database :
Directory of Open Access Journals
Journal :
Computational and Structural Biotechnology Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.1b93f34d43194e8cb8ec60b31ed3ee12
Document Type :
article
Full Text :
https://doi.org/10.1016/j.csbj.2019.07.016