ArticleMethods in molecular biology (Clifton, N.J.)2017
The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations.
Article in Methods in molecular biology (Clifton, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- The 2024 Report on the Human Proteome from the HUPO Human Proteome Project.Journal of proteome research · 2024Review
- GO Bench: shared hub for universal benchmarking of machine learning-based protein functional annotations.Bioinformatics (Oxford, England) · 2023Article
- GeNetOntology: identifying affected gene ontology terms via grouping, scoring, and modeling of gene expression data utilizing biological knowledge-based machine learning.Frontiers in genetics · 2023Article
- Quantitative high-confidence human mitochondrial proteome and its dynamics in cellular context.Cell metabolism · 2021Article
- Computational resources for identifying and describing proteins driving liquid-liquid phase separation.Briefings in bioinformatics · 2021Article
- Planarian Anatomy Ontology: a resource to connect data within and across experimental platforms.Development (Cambridge, England) · 2021Article
- Subcellular proteomics.Nature reviews. Methods primers · 2021Article
- DDIEM: drug database for inborn errors of metabolism.Orphanet journal of rare diseases · 2020Article
- Organizing genome engineering for the gigabase scale.Nature communications · 2020Review
- The y-ome defines the 35% of Escherichia coli genes that lack experimental evidence of function.Nucleic acids research · 2019Article
- Complex Portal 2018: extended content and enhanced visualization tools for macromolecular complexes.Nucleic acids research · 2019Article
- Human Disease Ontology 2018 update: classification, content and workflow expansion.Nucleic acids research · 2019Article
- ECO, the Evidence & Conclusion Ontology: community standard for evidence information.Nucleic acids research · 2019Article
- The Gene Ontology Resource: 20 years and still GOing strong.Nucleic acids research · 2019Article
- The Plant Ontology Facilitates Comparisons of Plant Development Stages Across Species.Frontiers in plant science · 2019Article
- Harnessing formal concepts of biological mechanism to analyze human disease.PLoS computational biology · 2018Article
- Using ZFIN: Data Types, Organization, and Retrieval.Methods in molecular biology (Clifton, N.J.) · 2018Article
- From Affective Science to Psychiatric Disorder: Ontology as a Semantic Bridge.Frontiers in psychiatry · 2018Article
- Bridging the Scientific Knowledge Gap and Reproducibility: A Survey of Provenance, Assertion and Evidence Ontologies.Proceedings of the ... International World-Wide Web Conference. International WWW ConferenceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The Evidence and Conclusion Ontology (ECO) is a community resource for describing the various types of evidence that are generated during the course of a scientific study and which are typically used to support assertions made by researchers. ECO describes multiple evidence types, including evidence resulting from experimental (i.e., wet lab) techniques, evidence arising from computational methods, statements made by authors (whether or not supported by evidence), and inferences drawn by researchers curating the literature. In addition to summarizing the evidence that supports a particular assertion, ECO also offers a means to document whether a computer or a human performed the process of making the annotation. Incorporating ECO into an annotation system makes it possible to leverage the structure of the ontology such that associated data can be grouped hierarchically, users can select data associated with particular evidence types, and quality control pipelines can be optimized. Today, over 30 resources, including the Gene Ontology, use the Evidence and Conclusion Ontology to represent both evidence and how annotations are made.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.