BarleyBase--an expression profiling database for plant genomics
Author(s) -
Li Shen,
Jian Gong,
Rico A. Caldo,
Dan Nettleton,
Dianne Cook,
Roger P. Wise,
Julie Dickerson
Publication year - 2004
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gki123
Subject(s) - biology , toolbox , arabidopsis , genomics , visualization , dna microarray , profiling (computer programming) , computational biology , genome , gene expression profiling , data visualization , set (abstract data type) , plot (graphics) , functional genomics , data set , data mining , computer science , gene , genetics , gene expression , artificial intelligence , statistics , mathematics , mutant , programming language , operating system
BarleyBase (BB) (www.barleybase.org) is an online database for plant microarrays with integrated tools for data visualization and statistical analysis. BB houses raw and normalized expression data from the two publicly available Affymetrix genome arrays, Barley1 and Arabidopsis ATH1 with plans to include the new Affymetrix 61K wheat, maize, soybean and rice arrays, as they become available. BB contains a broad set of query and display options at all data levels, ranging from experiments to individual hybridizations to probe sets down to individual probes. Users can perform cross-experiment queries on probe sets based on observed expression profiles and/or based on known biological information. Probe set queries are integrated with visualization and analysis tools such as the R statistical toolbox, data filters and a large variety of plot types. Controlled vocabularies for gene and plant ontologies, as well as interconnecting links to physical or genetic map and other genomic data in PlantGDB, Gramene and GrainGenes, allow users to perform EST alignments and gene function prediction using Barley1 exemplar sequences, thus, enhancing cross-species comparison.
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