PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

At-TAX: A Whole Genome Tiling Array Resource for Developmental Expression Analysis and Transcript Identification in Arabidopsis thaliana
S. Laubinger, G. Zeller, S.R. Henz, T. Sachsenberg, C.K. Widmer, N. Naouar, M. Vuylsteke, B. Schölkopf, G. Rätsch and D. Weigel
Genome Biology Volume 9(7: R112), pp. 1-16, 2008.

Abstract

Gene expression maps for model organisms, including Arabidopsis thaliana, have typically been created using gene-centric expression arrays. Here, we describe a comprehensive expression atlas, Arabidopsis thaliana Tiling Array Express (At-TAX), which is based on whole-genome tiling arrays. We demonstrate that tiling arrays are accurate tools for gene expression analysis and identified more than 1,000 unannotated transcribed regions. Visualizations of gene expression estimates, transcribed regions, and tiling probe measurements are accessible online at the At-TAX homepage.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Brain Computer Interfaces
Theory & Algorithms
ID Code:4325
Deposited By:Bernhard Schölkopf
Deposited On:13 March 2009