The Arabidopsis Information Resource (TAIR) is a comprehensive online database that provides a centralized, curated gateway to Arabidopsis thaliana biology, research materials, and community resources. Over 11,000 researchers and 4,000 organizations contribute to the rich diversity and quantity of information available on TAIR. Key features include: 1. **Data Content and Diversity**: TAIR has increased its data content and diversity, including sequence polymorphisms, Gene Ontology annotations, gene families, protein information, metabolic pathways, gene expression data, and seed and DNA stocks. 2. **Data Retrieval and Analysis Tools**: New tools such as SeqViewer and AraCyc have been developed to improve data retrieval, analysis, and visualization. SeqViewer allows interactive genome viewing, while AraCyc is a metabolic pathway database and map tool that overlays expression data onto pathway diagrams. 3. **User Support and Feedback**: TAIR provides various forms of user support, including email communication, help documentation, and a searchable FAQ section. Researchers are encouraged to submit data, correct errors, and provide feedback to enhance the resource. 4. **Biological Materials and Stock Ordering**: TAIR integrates information from the Arabidopsis Biological Resource Center (ABRC) and offers an online ordering system for DNA and seed stocks, facilitating positional gene cloning, complementation, expression, and protein characterization. 5. **Implementation and Documentation**: TAIR uses an object-oriented approach and a relational database management system (Sybase version 11.9.2). Detailed documentation and user support are provided to ensure ease of use. 6. **Citation and Acknowledgements**: The article provides guidelines for citing TAIR and acknowledges the contributions of users and the Arabidopsis research community, as well as funding sources such as NSF and NIH/NHGRI grants. Overall, TAIR aims to facilitate interaction within the research community, improve data content through continuous curation, and support the comprehensive study of Arabidopsis biology.The Arabidopsis Information Resource (TAIR) is a comprehensive online database that provides a centralized, curated gateway to Arabidopsis thaliana biology, research materials, and community resources. Over 11,000 researchers and 4,000 organizations contribute to the rich diversity and quantity of information available on TAIR. Key features include: 1. **Data Content and Diversity**: TAIR has increased its data content and diversity, including sequence polymorphisms, Gene Ontology annotations, gene families, protein information, metabolic pathways, gene expression data, and seed and DNA stocks. 2. **Data Retrieval and Analysis Tools**: New tools such as SeqViewer and AraCyc have been developed to improve data retrieval, analysis, and visualization. SeqViewer allows interactive genome viewing, while AraCyc is a metabolic pathway database and map tool that overlays expression data onto pathway diagrams. 3. **User Support and Feedback**: TAIR provides various forms of user support, including email communication, help documentation, and a searchable FAQ section. Researchers are encouraged to submit data, correct errors, and provide feedback to enhance the resource. 4. **Biological Materials and Stock Ordering**: TAIR integrates information from the Arabidopsis Biological Resource Center (ABRC) and offers an online ordering system for DNA and seed stocks, facilitating positional gene cloning, complementation, expression, and protein characterization. 5. **Implementation and Documentation**: TAIR uses an object-oriented approach and a relational database management system (Sybase version 11.9.2). Detailed documentation and user support are provided to ensure ease of use. 6. **Citation and Acknowledgements**: The article provides guidelines for citing TAIR and acknowledges the contributions of users and the Arabidopsis research community, as well as funding sources such as NSF and NIH/NHGRI grants. Overall, TAIR aims to facilitate interaction within the research community, improve data content through continuous curation, and support the comprehensive study of Arabidopsis biology.