The Arabidopsis Information Resource (TAIR): a model organism database providing a centralized, curated gateway to Arabidopsis biology, research materials and community
Authors: Rhee, Seung Yon1; Beavis, William2; Berardini, Tanya Z.; Chen, Guanghong2; Dixon, David2; Doyle, Aisling; Garcia-Hernandez, Margarita; Huala, Eva; Lander, Gabriel; Montoya, Mary2; Miller, Neil2; Mueller, Lukas A.; Mundodi, Suparna; Reiser, Leonore; Tacklind, Julie; Weems, Dan C.2; Wu, Yihe2; Xu, Iris; Yoo, Daniel; Yoon, Jungwon; Zhang, Peifen
Source: Nucleic Acids Research, Volume 31, Number 1, 01 January 2003 , pp. 224-228(5)
Publisher: Oxford University Press
Abstract:Arabidopsis thaliana is the most widely-studied plant today. The concerted efforts of over 11 000 researchers and 4000 organizations around the world are generating a rich diversity and quantity of information and materials. This information is made available through a comprehensive on-line resource called the Arabidopsis Information Resource (TAIR) (http://arabidopsis.org), which is accessible via commonly used web browsers and can be searched and downloaded in a number of ways. In the last two years, efforts have been focused on increasing data content and diversity, functionally annotating genes and gene products with controlled vocabularies, and improving data retrieval, analysis and visualization tools. New information include sequence polymorphisms including alleles, germplasms and phenotypes, Gene Ontology annotations, gene families, protein information, metabolic pathways, gene expression data from microarray experiments and seed and DNA stocks. New data visualization and analysis tools include SeqViewer, which interactively displays the genome from the whole chromosome down to 10 kb of nucleotide sequence and AraCyc, a metabolic pathway database and map tool that allows overlaying expression data onto the pathway diagrams. Finally, we have recently incorporated seed and DNA stock information from the Arabidopsis Biological Resource Center (ABRC) and implemented a shopping-cart style on-line ordering system.
Document Type: Research Article
Publication date: 01 January 2003
- Nucleic Acids Research (NAR) is a fully Open Access journal, providing rapid publication of leading edge research into the nucleic acids under the following categories: chemistry, computational biology, genomics, molecular biology, nucleic acid enzymes, RNA and structural biology. There is a Survey and Summary section, and methods papers are published
in NAR Methods Online. Each year the first issue is devoted to biological databases, and a later issue to relevant web-based software resources.
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- In this Subject: Anatomy & Physiology
- By this author: Rhee, Seung Yon ; Beavis, William ; Berardini, Tanya Z. ; Chen, Guanghong ; Dixon, David ; Doyle, Aisling ; Garcia-Hernandez, Margarita ; Huala, Eva ; Lander, Gabriel ; Montoya, Mary ; Miller, Neil ; Mueller, Lukas A. ; Mundodi, Suparna ; Reiser, Leonore ; Tacklind, Julie ; Weems, Dan C. ; Wu, Yihe ; Xu, Iris ; Yoo, Daniel ; Yoon, Jungwon ; Zhang, Peifen