standards > terminology artifact > DOI:10.25504/FAIRsharing.sjf113
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ready Mosquito Insecticide Resistance Ontology

Abbreviation: MIRO


General Information
Monitoring of insect vector populations with respect to their susceptibility to one or more insecticides is a crucial element of the strategies used for the control of arthropod-borne diseases. This management task can nowadays be achieved more efficiently when assisted by IT (Information Technology) tools, ranging from modern integrated databases to GIS (Geographic Information System). MIRO is an application ontology that can be used for the purpose of controlling mosquitoes and, thus, the diseases that they transmit.



How to cite this record FAIRsharing.org: MIRO; Mosquito Insecticide Resistance Ontology; DOI: https://doi.org/10.25504/FAIRsharing.sjf113; Last edited: July 5, 2019, 5:20 p.m.; Last accessed: Oct 16 2021 5 p.m.


Record updated: June 27, 2019, 10:13 a.m. by The FAIRsharing Team.

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Tools

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Schemas

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Publications

MIRO and IRbase: IT tools for the epidemiological monitoring of insecticide resistance in mosquito disease vectors.

Dialynas E,Topalis P,Vontas J,Louis C
PLoS Negl Trop Dis 2009

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MIRO Ontology Display

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View in OBO Foundry.



Related Standards

Reporting Guidelines

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Models and Formats

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Identifier Schemas

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Related Databases (11)
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STRING
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Human Protein Reference Database
The Human Protein Reference Database represents a centralized platform to visually depict and integrate information pertaining to domain architecture, post-translational modifications, interaction networks and disease association for each protein in the human proteome.

Microbial Protein Interaction Database
The microbial protein interaction database (MPIDB) provides physical microbial interaction data. The interactions are manually curated from the literature or imported from other databases, and are linked to supporting experimental evidence, as well as evidences based on interaction conservation, protein complex membership, and 3D domain contacts. This resource has been marked as Uncertain because its project home can no longer be found. Please get in touch if you have any information about this resource.

Biological General Repository for Interaction Datasets
The Biological General Repository for Interaction Datasets (BioGRID) is a public database that archives and disseminates genetic and protein interaction data from model organisms and humans. BioGRID currently holds over 1,740,000 interactions curated from both high-throughput datasets and individual focused studies, as derived from over 70,000+ publications in the primary literature. Complete coverage of the entire literature is maintained for budding yeast (S. cerevisiae), fission yeast (S. pombe) and thale cress (A. thaliana), and efforts to expand curation across multiple metazoan species are underway. All data are freely provided via our search index and available for download in many standardized formats.

InnateDB
InnateDB has been developed to facilitate systems level investigations of the mammalian (human, mouse and bovine) innate immune response. Its goal is to provide a manually-curated knowledgebase of the genes, proteins, and particularly, the interactions and signaling responses involved in mammalian innate immunity. InnateDB incorporates information of the whole human, mouse and bovine interactomes by integrating interaction and pathway information from several of the major publicly available databases but aims to capture an improved coverage of the innate immunity interactome through manual curation.

Interaction Reference Index Web Interface
iRefWeb is an interface to a relational database containing the latest build of the interaction Reference Index (iRefIndex) which integrates protein interaction data from ten different interaction databases: BioGRID, BIND, CORUM, DIP, HPRD, INTACT, MINT, MPPI, MPACT and OPHID.

Database of Interacting Proteins
The database of interacting protein (DIP) database stores experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. The data stored within the DIP database were curated, both manually by expert curators and automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the core DIP data.

Interologous Interaction Database
The I2D (Interologous Interaction Database) is a database of known and predicted mammalian and eukaryotic protein-protein interactions (PPIs). It has been built by mapping high-throughput (HTP) data between species.

VectorBase
VectorBase is a web-accessible data repository for information about invertebrate vectors of human pathogens. VectorBase annotates and maintains vector genomes (as well as a number of non-vector genomes for comparative analysis) providing an integrated resource for the research community. VectorBase contains genome information for organisms such as Anopheles gambiae, a vector for the Plasmodium protozoan agent causing malaria, and Aedes aegypti, a vector for the flaviviral agents causing Yellow fever and Dengue fever. Hosted data range from genome assemblies with annotated gene features, transcript and protein expression data to population genetics including variation and insecticide-resistance phenotypes.

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.

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Grant Number(s)

  • HHSN266200400039C (National Institute of Allergy and Infectious Diseases (NIAD), Bethesda, MD, USA)

  • LSHP-CT-2004-503578 (European Commission FP6)