model organism database provides expanded support for genotypes and phenotypes

model organism database

ZFIN, the Zebrafish Model Organism Database

Inter-database linkage via annotations is one approach to the integration of knowledge in the biomedical domain, which is often fragmented by specialization. This pilot study examined annotations in ten model organism databases and the Gene Ontology (GO) to assess explicit and implicit linkages

genomes such as this first crustacean is still an uncertain task. Even in clades with a well-characterized model such as Drosophila, gene finding remains an uncertain task. Prediction tools are increasingly sophisticated and accurate. Today's methods draw on the range of available gene evidence

Whole-cell models promise to greatly facilitate the analysis of complex biological behaviors. Whole-cell model development requires comprehensive model organism databases. WholeCellKB

Model organism databases are important repositories of data and information for biomedical research, but are useful to scientists only if the information they contain meets certain levels of quality. This methodology paper describes six facets of information quality applicable to Gene Ontology (GO

BeetleBase

Manual extraction of information from the biomedical literature—or biocuration—is the central methodology used to construct many biological databases. For example, the UniProt protein database, the EcoCyc Escherichia coli database and the Candida Genome Database (CGD) are all based on biocuration

The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and interact with images and multimedia data. But exactly how such data can be harnessed and organized remains a critical problem. We introduce