The Arabidopsis Information Resource (TAIR): a comprehensive database and web-based information retrieval, analysis, and visualization system for a model plant
Arabidopsis thaliana, a small annual plant belonging to the mustard family, is the subject of study by an estimated 7000 researchers around the world. In addition to the large body of genetic, physiological and biochemical data gathered for this plant, it will be the first higher plant genome to be...
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Published in: | Nucleic acids research Vol. 29; no. 1; pp. 102 - 105 |
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Main Authors: | , , , , , , , , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
England
Oxford Publishing Limited (England)
01-01-2001
Oxford University Press |
Subjects: | |
Online Access: | Get full text |
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Summary: | Arabidopsis thaliana, a small annual plant belonging to the mustard family, is the subject of study by an estimated 7000 researchers around the world. In addition to the large body of genetic, physiological and biochemical data gathered for this plant, it will be the first higher plant genome to be completely sequenced, with completion expected at the end of the year 2000. The sequencing effort has been coordinated by an international collaboration, the Arabidopsis Genome Initiative (AGI). The rationale for intensive investigation of Arabidopsis is that it is an excellent model for higher plants. In order to maximize use of the knowledge gained about this plant, there is a need for a comprehensive database and information retrieval and analysis system that will provide user-friendly access to Arabidopsis information. This paper describes the initial steps we have taken toward realizing these goals in a project called The Arabidopsis Information Resource (TAIR) (www.arabidopsis.org). |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 To whom correspondence should be addressed. Tel: +1 650 325 1521; Fax: +1 650 325 6857; Email: huala@acoma.stanford.edu Present addresses: Allan W. Dickerman, Virginia Bioinformatics Institute (0477), 1750 Kraft Drive, Corporate Research Center Building 10, Suite 1400, Blacksburg, VA 24061, USA Donald Kiphart, Prediction Company, 236 Montezuma Avenue, Santa Fe, NM 87501, USA Mingzhe Zhuang, Sugen, Inc., 230 East Grand Avenue, South San Francisco, CA 94080-4811, USA |
ISSN: | 1362-4962 0305-1048 1362-4962 |
DOI: | 10.1093/nar/29.1.102 |