Literature DB >> 27812948

The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations.

Marcus C Chibucos1, Deborah A Siegele2, James C Hu3, Michelle Giglio4.   

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.

Entities:  

Keywords:  Annotation; Biocuration; Conclusion; Confidence; ECO; Evidence; Experiment; Inference; Literature curation; Quality control

Mesh:

Year:  2017        PMID: 27812948      PMCID: PMC6377151          DOI: 10.1007/978-1-4939-3743-1_18

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  11 in total

1.  Quantitative high-confidence human mitochondrial proteome and its dynamics in cellular context.

Authors:  Marcel Morgenstern; Christian D Peikert; Philipp Lübbert; Ida Suppanz; Cinzia Klemm; Oliver Alka; Conny Steiert; Nataliia Naumenko; Alexander Schendzielorz; Laura Melchionda; Wignand W D Mühlhäuser; Bettina Knapp; Jakob D Busch; Sebastian B Stiller; Stefan Dannenmaier; Caroline Lindau; Mariya Licheva; Christopher Eickhorst; Riccardo Galbusera; Ralf M Zerbes; Michael T Ryan; Claudine Kraft; Vera Kozjak-Pavlovic; Friedel Drepper; Sven Dennerlein; Silke Oeljeklaus; Nikolaus Pfanner; Nils Wiedemann; Bettina Warscheid
Journal:  Cell Metab       Date:  2021-11-19       Impact factor: 27.287

2.  Computational resources for identifying and describing proteins driving liquid-liquid phase separation.

Authors:  Rita Pancsa; Wim Vranken; Bálint Mészáros
Journal:  Brief Bioinform       Date:  2021-09-02       Impact factor: 11.622

3.  The y-ome defines the 35% of Escherichia coli genes that lack experimental evidence of function.

Authors:  Sankha Ghatak; Zachary A King; Anand Sastry; Bernhard O Palsson
Journal:  Nucleic Acids Res       Date:  2019-03-18       Impact factor: 16.971

4.  ECO, the Evidence & Conclusion Ontology: community standard for evidence information.

Authors:  Michelle Giglio; Rebecca Tauber; Suvarna Nadendla; James Munro; Dustin Olley; Shoshannah Ball; Elvira Mitraka; Lynn M Schriml; Pascale Gaudet; Elizabeth T Hobbs; Ivan Erill; Deborah A Siegele; James C Hu; Chris Mungall; Marcus C Chibucos
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

5.  Harnessing formal concepts of biological mechanism to analyze human disease.

Authors:  Lindley Darden; Kunal Kundu; Lipika R Pal; John Moult
Journal:  PLoS Comput Biol       Date:  2018-12-26       Impact factor: 4.475

6.  Human Disease Ontology 2018 update: classification, content and workflow expansion.

Authors:  Lynn M Schriml; Elvira Mitraka; James Munro; Becky Tauber; Mike Schor; Lance Nickle; Victor Felix; Linda Jeng; Cynthia Bearer; Richard Lichenstein; Katharine Bisordi; Nicole Campion; Brooke Hyman; David Kurland; Connor Patrick Oates; Siobhan Kibbey; Poorna Sreekumar; Chris Le; Michelle Giglio; Carol Greene
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

Review 7.  Organizing genome engineering for the gigabase scale.

Authors:  Bryan A Bartley; Jacob Beal; Jonathan R Karr; Elizabeth A Strychalski
Journal:  Nat Commun       Date:  2020-02-04       Impact factor: 14.919

8.  From Affective Science to Psychiatric Disorder: Ontology as a Semantic Bridge.

Authors:  Rasmus Rosenberg Larsen; Janna Hastings
Journal:  Front Psychiatry       Date:  2018-10-08       Impact factor: 4.157

9.  Complex Portal 2018: extended content and enhanced visualization tools for macromolecular complexes.

Authors:  Birgit H M Meldal; Hema Bye-A-Jee; Lukáš Gajdoš; Zuzana Hammerová; Aneta Horácková; Filip Melicher; Livia Perfetto; Daniel Pokorný; Milagros Rodriguez Lopez; Alžbeta Türková; Edith D Wong; Zengyan Xie; Elisabeth Barrera Casanova; Noemi Del-Toro; Maximilian Koch; Pablo Porras; Henning Hermjakob; Sandra Orchard
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

10.  The Gene Ontology Resource: 20 years and still GOing strong.

Authors: 
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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