Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

VFB

General information

URL: http://www.virtualflybrain.org
Full name: Virtual Fly Brain
Description: Virtual Fly Brain is a hub for Drosophila melanogaster neural anatomy and imaging data.
Year founded: 2014
Last update:
Version: VFB 2.1
Accessibility:
Accessible
Country/Region: United Kingdom

Contact information

University/Institution: European Bioinformatics Institute
Address: European Bioinformatics Institute (EMBL-EBI) European Molecular Biology Laboratory Hinxton, Cams, UK
City:
Province/State:
Country/Region: United Kingdom
Contact name (PI/Team): David Osumi-Sutherland
Contact email (PI/Helpdesk): davidos@ebi.ac.uk

Publications

29724079
Virtual Fly Brain - Using OWL to support the mapping and genetic dissection of the brain. [PMID: 29724079]
David Osumi-Sutherland, Marta Costa, Robert Court, Cahir J O'Kane

A massive effort is underway to map the structure of the nervous system and to genetically dissect its function. Virtual Fly Brain (VFB; http://www.virtualflybrain.org) is a popular, OWL-based resource providing neuroinformatics support for this work. It provides: curated descriptions of brain regions and neurons; queries for neurons based on their relationship to gross neuroanatomy; and queries for reagents based on their expression patterns. Query results are enriched by OWL axiomatisation allowing basic mereological reasoning. To keep reasoning fast and scalable, VFB confines expressiveness to the EL profile of OWL. As a result, VFB does not provide queries involving negation, despite there being both demand and sufficient information to support them. Recent developments in reasoning technology may make more expressive queries practical. Here we present design patterns to support queries with negation that are compatible with the mereological reasoning used in VFB.

CEUR Workshop Proc. 2014:1265() | 10 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
5620/6895 (18.506%)
Phylogeny and homology:
242/302 (20.199%)
Structure:
772/967 (20.269%)
Metadata:
561/719 (22.114%)
5620
Total Rank
9
Citations
0.818
z-index

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Record metadata

Created on: 2019-10-23
Curated by:
Amjad Ali [2019-11-14]
irfan Hussain [2019-10-23]