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The DIURNAL project: DIURNAL and circadian expression profiling, model-based pattern matching, and promoter analysis
- Source :
- Cold Spring Harbor symposia on quantitative biology. 72
- Publication Year :
- 2008
-
Abstract
- The DIURNAL project ( http://diurnal.cgrb.oregonstate.edu/ ) provides a graphical interface for mining and viewing diurnal and circadian microarray data for Arabidopsis thaliana, poplar, and rice. The database is searchable and provides access to several user-friendly Web-based data-mining tools with easy-to-understand output. The associated tools include HAYSTACK ( http://haystack.cgrb.oregonstate.edu/ ) and ELEMENT ( http://element.cgrb.oregonstate.edu/ ). HAYSTACK is a model-based pattern-matching algorithm for identifying genes that are coexpressed and potentially coregulated. HAYSTACK can be used to analyze virtually any large-scale microarray data set and provides an alternative method for clustering microarray data from any experimental system by grouping together genes whose expression patterns match the same or similar user-defined patterns. ELEMENT is a Web-based program for identifying potential cis-regulatory elements in the promoters of coregulated genes in Arabidopsis, poplar, and rice. Together, DIURNAL, HAYSTACK, and ELEMENT can be used to facilitate cross-species comparisons among the plant species supported and to accelerate functional genomics efforts in the laboratory.
- Subjects :
- DNA, Plant
Arabidopsis
Computational biology
Genes, Plant
Biochemistry
Pattern Recognition, Automated
Databases, Genetic
Genetics
Arabidopsis thaliana
Regulatory Elements, Transcriptional
Cluster analysis
Promoter Regions, Genetic
Molecular Biology
Plant Physiological Phenomena
Oligonucleotide Array Sequence Analysis
biology
Models, Genetic
Microarray analysis techniques
Gene Expression Profiling
food and beverages
Promoter
Oryza
Plants
biology.organism_classification
Circadian Rhythm
Gene expression profiling
Populus
Haystack
Functional genomics
Algorithms
Software
Subjects
Details
- ISSN :
- 00917451
- Volume :
- 72
- Database :
- OpenAIRE
- Journal :
- Cold Spring Harbor symposia on quantitative biology
- Accession number :
- edsair.doi.dedup.....d7adad895c32d83bf13dd3e77f059766