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Summary
This summary is machine-generated.

The Zebrafish Model Organism Database (ZFIN) is a comprehensive resource for zebrafish research, offering curated genetic and genomic data. It provides official nomenclature, gene expression, phenotypes, and disease models, supporting scientific discovery.

Keywords:
Danio rerioDatabaseGeneticsGenomicsZFINZebrafish Information Network

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Area of Science:

  • * Developmental Biology
  • * Genetics
  • * Genomics

Background:

  • * The Zebrafish Model Organism Database (ZFIN) was founded in 1994.
  • * ZFIN has evolved into a crucial resource for the zebrafish research community.
  • * Its services and data types have expanded significantly since its inception.

Purpose of the Study:

  • * To describe the primary data and services offered by ZFIN.
  • * To provide guidance on using and interpreting ZFIN search functionalities.
  • * To enhance the accessibility and understanding of ZFIN's curated biological information.

Main Methods:

  • * Utilization of ontologies for data structuring and curation.
  • * Integration of a genome browser for genomic context.
  • * Development of ZebrafishMine, an InterMine data warehouse installation.
  • * Implementation of parameterized and single-box search interfaces.

Main Results:

  • * ZFIN provides official nomenclature for zebrafish genes, mutants, and transgenics.
  • * Curated data includes gene expression, phenotypes, Gene Ontology, disease models, orthology, knockdown reagents, transgenic constructs, and antibodies.
  • * An integrated genome browser offers genomic context for various genetic elements.
  • * Data accessibility is facilitated through web pages, download files, and ZebrafishMine.
  • * A community wiki supports the sharing of new antibody records and research protocols.

Conclusions:

  • * ZFIN serves as a vital, comprehensive genetic and genomic resource for zebrafish research.
  • * The database effectively structures and presents diverse, expertly curated data types.
  • * ZFIN's search and data access methods are designed for efficient user interaction and data retrieval.