ArticleNucleic acids research2006
DRASTIC--INSIGHTS: querying information in a plant gene expression database.
Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Non-CG DNA methylation-deficiency mutations enhance mutagenesis rates during salt adaptation in cultured Arabidopsis cells.Stress biology · 2021Article
- Interactions Among Plant Transcription Factors Regulating Expression of Stress-responsive Genes.Bioinformatics and biology insights · 2014Article
- STIFDB-Arabidopsis Stress Responsive Transcription Factor DataBase.International journal of plant genomics · 2009Article
- A survey of visualization tools for biological network analysis.BioData mining · 2008Article
- STIF: Identification of stress-upregulated transcription factor binding sites in Arabidopsis thaliana.Bioinformation · 2008Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DRASTIC--Database Resource for the Analysis of Signal Transduction In Cells (http://www.drastic.org.uk/) has been created as a first step towards a data-based approach for constructing signal transduction pathways. DRASTIC is a relational database of plant expressed sequence tags and genes up- or down-regulated in response to various pathogens, chemical exposure or other treatments such as drought, salt and low temperature. More than 17700 records have been obtained from 306 treatments affecting 73 plant species from 512 peer-reviewed publications with most emphasis being placed on data from Arabidopsis thaliana. DRASTIC has been developed by the Scottish Crop Research Institute and the University of Abertay Dundee and allows rapid identification of plant genes that are up- or down-regulated by multiple treatments and those that are regulated by a very limited (or perhaps a single) treatment. The INSIGHTS (INference of cell SIGnaling HypoTheseS) suite of web-based tools allows intelligent data mining and extraction of information from the DRASTIC database. Potential response pathways can be visualized and comparisons made between gene expression patterns in response to various treatments. The knowledge gained informs plant signalling pathways and systems biology investigations.
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Registered trials
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