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ready Evidence codes

Abbreviation: ECO


General Information
Evidence and Conclusions Ontology (ECO) provides the terminology for describing scientific evidence from a variety of biological research types including laboratory studies, literature data mining or computational analysis. ECO uses both 'evidence and assertion' methods in combination to support a research question and whether or not the hypothesis is computer-generated or a research personnel.

Homepage http://www.evidenceontology.org/

Developed in United States

Created in 2000

Taxonomic range

Knowledge Domains  BETA




How to cite this record FAIRsharing.org: ECO; Evidence codes; DOI: https://doi.org/10.25504/FAIRsharing.wvpgwn; Last edited: Nov. 23, 2018, 11:27 a.m.; Last accessed: Dec 14 2018 7:31 a.m.


Record updated: July 18, 2018, 2:17 p.m. by The FAIRsharing Team.

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General

Additional Information



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No XSD schemas defined


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Conditions of Use

Applies to: Data use




Publications

Standardized description of scientific evidence using the Evidence Ontology (ECO).

Chibucos MC,Mungall CJ,Balakrishnan R,Christie KR,Huntley RP,White O,Blake JA,Lewis SE,Giglio M
Database (Oxford) 2014

View Paper (PubMed) View Publication


Related Standards

Reporting Guidelines

No guidelines defined

Models and Formats

No syntax standards defined

Identifier Schemas

No identifier schema standards defined


Implementing Databases (14)
The Arabidopsis Information Resource
The Arabidopsis Information Resource (TAIR) maintains a database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana.

Termini-Oriented Protein Function INferred Database
TopFIND is a protein-centric database for the annotation of protein termini currently in its third version. Non-canonical protein termini can be the result of multiple different biological processes, including pre-translational processes such as alternative splicing and alternative translation initiation or post-translational protein processing by proteases that cleave proteases as part of protein maturation or as a regulatory modification. Accordingly, protein termini evidence in TopFIND is inferred from other databases such as ENSEMBL transcripts, TISdb for alternative translation initiation, MEROPS for protein cleavage by proteases, and UniProt for canonical and protein isoform start sites. Additionally, termini are annotated from user submitted lists of termini and inferred from user submitted lists of cleavage sites. As a protein-centric database, TopFIND presents a website for each protein isoform (organized around UniProt accession codes). These websites contain general protein information, such as organism, chromosome location, and proteins sequence. They then list position information such as specific termini evidences, known cleavage sites, sequence features and domains for each protein. In addition, TopFIND shows each protein in the context of the protease web, a network of proteases and their inhibitors, where a protease can cleave of other proteases and their inhibitors thus influencing their activity. All information in TopFIND can be filtered by a powerful filter engine that relies on rich annotation as to the origin of data in TopFIND. TopFIND can also be programmatically queried using the PSICQUIC or XML API. Recently, software tools were developed to enable quick access to TopFIND data for lists of termini obtained by, for example, proteomic termini screens (terminomics). TopFIND Explorer “TopFINDer” reports position specific protein information for protein termini, such as terminus evidences, prime and non-prime sequences, and protein domains affected by cleavage. TopFINDer further reports summary statistics for protein cleavage by known proteases. PathFINDer is a second tool that reports proteolytic paths from a query protease to identified protein substrates thus enabling the differentiation between direct and indirect protease substrates and yielding mechanistic insights into pathways based on existing information.

AgBase
AgBase is a curated, open-source, Web-accessible resource for functional analysis of agricultural plant and animal gene products.

Gene Ontology Annotation
The GOA (Gene Ontology Annotation) project provides high-quality Gene Ontology (GO) annotations to proteins in the UniProt Knowledgebase (UniProtKB) and International Protein Index (IPI). This involves electronic annotation and the integration of high-quality manual GO annotation from all GO Consortium model organism groups and specialist groups.

Yeast Searching for Transcriptional Regulators and Consensus Tracking
YEASTRACT (Yeast Search for Transcriptional Regulators And Consensus Tracking) is a curated repository of more than 48333 regulatory associations between transcription factors (TF) and target genes in Saccharomyces cerevisiae, based on more than 1200 bibliographic references.

Pseudomonas Genome DB
The Pseudomonas Genome Database is a resource for peer-reviewed, continually updated annotation for all Pseudomonas species. It includes gene and protein sequence information, as well as regulation and predicted function and annotation.

UniProt Knowledgebase
The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. In addition to capturing the core data mandatory for each UniProtKB entry (mainly, the amino acid sequence, protein name or description, taxonomic data and citation information), as much annotation information as possible is added. This includes widely accepted biological ontologies, classifications and cross-references, and clear indications of the quality of annotation in the form of evidence attribution of experimental and computational data. The UniProt Knowledgebase consists of two sections: a reviewed section containing manually-annotated records with information extracted from literature and curator-evaluated computational analysis (aka "UniProtKB/Swiss-Prot"), and an unreviewed section with computationally analyzed records that await full manual annotation (aka "UniProtKB/TrEMBL").

The Zebrafish Information Network
The Zebrafish Information Network, ZFIN, serves as the primary community database resource for the laboratory use of zebrafish. We develop and support integrated zebrafish genetic, genomic, developmental and physiological information and link this information extensively to corresponding data in other model organism and human databases.

Yeast Resource Center Public Data Repository
The National Center for Research Resources' Yeast Resource Center is located at the University of Washington in Seattle, Washington. The mission of the center is to facilitate the identification and characterization of protein complexes in the yeast Saccharomyces cerevisiae.

CollecTF
CollecTF is a database of transcription factor binding sites (TFBS) in the Bacteria domain. It aims at becoming a reference, highly-accessed database by relying on its ability to customize navigation and data extraction, its relevance to the community, the quality and detail of the stored data and the up-to-date nature of the stored information.

Ascidian Network for In Situ Expression and Embryological Data
Aniseed is a database designed to offer a representation of ascidian embryonic development at the level of the genome (cis-regulatory sequences, spatial gene expression, protein annotation), of the cell (cell shapes, fate, lineage) or of the whole embryo (anatomy, morphogenesis).

Open Targets
Open Targets designed and developed an integration and visualization platform that provides evidence about the association of known and potential drug targets with diseases. The platform is designed to support identification and prioritization of biological targets for follow-up. Each drug target is linked to a disease using integrated genome-wide data from a broad range of data sources. The platform provides either a target-centric workflow to identify diseases that may be associated with a specific target, or a disease-centric workflow to identify targets that may be associated with a specific disease. Users can easily transition between these target- and disease-centric workflows.

OBO Foundry
The Open Biological and Biomedical Ontology (OBO) Foundry is a collective of ontology developers that are committed to collaboration and adherence to shared principles. The mission of the OBO Foundry is to develop a family of interoperable ontologies that are both logically well-formed and scientifically accurate. To achieve this, OBO Foundry participants voluntarily adhere to and contribute to the development of an evolving set of principles including open use, collaborative development, non-overlapping and strictly-scoped content, and common syntax and relations, based on ontology models that work well, such as the Gene Ontology (GO). The OBO Foundry is overseen by an Operations Committee with Editorial, Technical and Outreach working groups.

Complex Portal
The Complex Portal is a manually curated, encyclopaedic resource of macromolecular complexes from a number of key model organisms. The majority of complexes are made up of proteins but may also include nucleic acids or small molecules. All data is freely available for search and download.

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