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  At-TAX: A Whole Genome Tiling Array Resource for Developmental Expression Analysis and Transcript Identification in Arabidopsis thaliana

Laubinger, S., Zeller, G., Henz, S., Sachsenberg, T., Widmer, C., Naouar, N., et al. (2008). At-TAX: A Whole Genome Tiling Array Resource for Developmental Expression Analysis and Transcript Identification in Arabidopsis thaliana. Genome Biology, 9(7): R112, pp. 1-16. doi:10.1186/gb-2008-9-7-r112.

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 Creators:
Laubinger, S1, Author
Zeller, G1, 2, Author           
Henz, SR, Author
Sachsenberg, T1, Author
Widmer, C2, Author           
Naouar, N, Author
Vuylsteke, M, Author
Schölkopf, B3, 4, Author           
Rätsch, G2, Author           
Weigel, D1, Author           
Affiliations:
1Max Planck Institute for Developmental Biology, Max Planck Society, ou_2421691              
2Friedrich Miescher Laboratory, Max Planck Society, Max-Planck-Ring 9, 72076 Tübingen, DE, ou_2575692              
3Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
4Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 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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 Dates: 2008-07
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: DOI: 10.1186/gb-2008-9-7-r112
BibTex Citekey: 5325
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Title: Genome Biology
Source Genre: Journal
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Publ. Info: London : BioMed Central Ltd.
Pages: - Volume / Issue: 9 (7) Sequence Number: R112 Start / End Page: 1 - 16 Identifier: ISSN: 1465-6906
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000224390_1