» Articles » PMID: 11465064

Phenotypic Data in FlyBase

Overview
Journal Brief Bioinform
Specialty Biology
Date 2001 Jul 24
PMID 11465064
Citations 16
Authors
Affiliations
Soon will be listed here.
Abstract

Phenotypic analysis combined with molecular genetics is a powerful tool for mapping gene function onto the genome. Phenotypic data are, by their nature, descriptive, and as varied as the range of mutant phenotypes that can be presented by the organism under study. This paper discusses the mechanisms FlyBase has implemented to systematise published phenotypic data about Drosophila, and provides an introduction to the query tools available for the mining of the data. Though FlyBase is specific to Drosophila, the issues faced in devising protocols for capturing, storing and reporting data are the same issues faced by any database with an interest in using phenotypic data to maximise the potential of genomic analysis.

Citing Articles

Exploring FlyBase Data Using QuickSearch.

Marygold S Curr Protoc. 2023; 3(4):e731.

PMID: 37014762 PMC: 10088454. DOI: 10.1002/cpz1.731.


Exploring FlyBase Data Using QuickSearch.

Marygold S, Antonazzo G, Attrill H, Costa M, Crosby M, Dos Santos G Curr Protoc Bioinformatics. 2016; 56:1.31.1-1.31.23.

PMID: 27930807 PMC: 5152691. DOI: 10.1002/cpbi.19.


Patterns of positive selection in seven ant genomes.

Roux J, Privman E, Moretti S, Daub J, Robinson-Rechavi M, Keller L Mol Biol Evol. 2014; 31(7):1661-85.

PMID: 24782441 PMC: 4069625. DOI: 10.1093/molbev/msu141.


The Drosophila phenotype ontology.

Osumi-Sutherland D, Marygold S, Millburn G, McQuilton P, Ponting L, Stefancsik R J Biomed Semantics. 2013; 4(1):30.

PMID: 24138933 PMC: 3816596. DOI: 10.1186/2041-1480-4-30.


Matching arthropod anatomy ontologies to the Hymenoptera Anatomy Ontology: results from a manual alignment.

Bertone M, Miko I, Yoder M, Seltmann K, Balhoff J, Deans A Database (Oxford). 2013; 2013:bas057.

PMID: 23303300 PMC: 3540420. DOI: 10.1093/database/bas057.