ArticleJournal of biomedical semantics2016
The flora phenotype ontology (FLOPO): tool for integrating morphological traits and phenotypes of vascular plants.
Article in Journal of biomedical semantics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Building phenotypic character matrices for phylogenetic inference: exploration of 35 years of practice.Biological reviews of the Cambridge Philosophical Society · 2026Pooled it
- Enhancing the SIB Literature Services (SIBiLS) with annotations to support biocuration.Database : the journal of biological databases and curation · 2026Article
- Integrating scanned literature and online sources to build a data text collection for plant biodiversity.Biodiversity data journal · 2026Article
- The Ontology of Biological Attributes (OBA)-computational traits for the life sciences.Mammalian genome : official journal of the International Mammalian Genome Society · 2023Article
- Ontologies for increasing the FAIRness of plant research data.Frontiers in plant science · 2023Review
- Data standardization of plant-pollinator interactions.GigaScience · 2022Article
- Research data management in agricultural sciences in Germany: We are not yet where we want to be.PloS one · 2022Article
- Cyberinfrastructure and resources to enable an integrative approach to studying forest trees.Evolutionary applications · 2020Article
- Article
- The anatomy of phenotype ontologies: principles, properties and applications.Briefings in bioinformatics · 2018Article
- Extraction of phenotypic traits from taxonomic descriptions for the tree of life using natural language processing.Applications in plant sciences · 2018Article
- Modifier Ontologies for frequency, certainty, degree, and coverage phenotype modifier.Biodiversity data journal · 2018Article
- Resolving "orphaned" non-specific structures using machine learning and natural language processing methods.Biodiversity data journal · 2018Article
- DES-TOMATO: A Knowledge Exploration System Focused On Tomato Species.Scientific reports · 2017Article
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13 authors.
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Abstract
backgroundThe systematic analysis of a large number of comparable plant trait data can support investigations into phylogenetics and ecological adaptation, with broad applications in evolutionary biology, agriculture, conservation, and the functioning of ecosystems. Floras, i.e., books collecting the information on all known plant species found within a region, are a potentially rich source of such plant trait data. Floras describe plant traits with a focus on morphology and other traits relevant for species identification in addition to other characteristics of plant species, such as ecological affinities, distribution, economic value, health applications, traditional uses, and so on. However, a key limitation in systematically analyzing information in Floras is the lack of a standardized vocabulary for the described traits as well as the difficulties in extracting structured information from free text.
resultsWe have developed the Flora Phenotype Ontology (FLOPO), an ontology for describing traits of plant species found in Floras. We used the Plant Ontology (PO) and the Phenotype And Trait Ontology (PATO) to extract entity-quality relationships from digitized taxon descriptions in Floras, and used a formal ontological approach based on phenotype description patterns and automated reasoning to generate the FLOPO. The resulting ontology consists of 25,407 classes and is based on the PO and PATO. The classified ontology closely follows the structure of Plant Ontology in that the primary axis of classification is the observed plant anatomical structure, and more specific traits are then classified based on parthood and subclass relations between anatomical structures as well as subclass relations between phenotypic qualities.
conclusionsThe FLOPO is primarily intended as a framework based on which plant traits can be integrated computationally across all species and higher taxa of flowering plants. Importantly, it is not intended to replace established vocabularies or ontologies, but rather serve as an overarching framework based on which different application- and domain-specific ontologies, thesauri and vocabularies of phenotypes observed in flowering plants can be integrated.
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