OntoTiger: a platform of ontology-based application tools for integrative biomedical exploration
Haixiu Yang, Guoyou He, Meiyi Zhang, Hongyu Fu, Guanzhi He, Chao Wang, Yangyang Liu, Sainan Zhang, Tao Wang, Yongqun Oliver He, Liang Cheng

TL;DR
OntoTiger is a platform that integrates over 20 algorithms to explore biomedical ontologies and molecular relationships in a user-friendly way.
Contribution
OntoTiger introduces a unified platform integrating >20 ontology-based algorithms for biomedical exploration.
Findings
OntoTiger supports six molecular types and five ontologies, including GO, DO, and HPO.
The platform includes four modules for annotation, similarity, prediction, and enrichment analysis.
OntoTiger is freely accessible via a web server for one-stop ontology-based applications.
Abstract
Biomedical ontologies, such as Gene Ontology (GO), Disease Ontology (DO), and the Human Phenotype Ontology (HPO), have been extensively applied to characterize molecular roles and their semantic relationships in biomedical research and clinical practice. Although numerous algorithms have been developed to quantify relationships between ontology terms or to explore molecular functions, the absence of a comprehensive tool to integrate these algorithms has limited effective ontology applications. To address this, we developed OntoTiger, a platform of Ontology-based application Tools for InteGrativE biomedical exploRation. OntoTiger combines >20 classic algorithms, supporting six prevalent molecular types as well as five widespread biomedical ontologies. The platform comprises four modules: (i) Annotation module, which qualifies the relationships between ontology terms and molecules; (ii)…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsBiomedical Text Mining and Ontologies · Bioinformatics and Genomic Networks · Computational Drug Discovery Methods
