Phenotypic QualiTy Ontology
Created in 2004
Scope and data types
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Models and Formats
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Zfishbook is a real-time database of transposon-labeled mutants in zebrafish. This resource provides services for any size of GBT mutagenesis projects on zebrafish to encourage collaboration in the research community.
PomBase is a model organism database that provides organization of and access to scientific data for the fission yeast Schizosaccharomyces pombe. PomBase supports genomic sequence and features, genome-wide datasets and manual literature curation as well as providing structural and functional annotation and access to large-scale data sets.
Stem Cell Discovery Engine
Comparison system for cancer stem cell analysis
The Zebrafish Model Organism Database
The Zebrafish Model Organism Database, 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.
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 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.
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Using ontologies to describe mouse phenotypes.
Gkoutos GV,Green EC,Mallon AM,Hancock JM,Davidson D
Genome Biol 2005