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  Hypothesis-driven approach to predict transcriptional units from gene expression data

Steinhauser, D., Junker, B. H., Luedemann, A., Selbig, J., & Kopka, J. (2004). Hypothesis-driven approach to predict transcriptional units from gene expression data. Bioinformatics, 20(12), 1928-1939. doi:10.1093/bioinformatics/bth182.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-2C71-B Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0019-0777-2
Genre: Journal Article

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Steinhauser-2004-Hypothesis-driven ap.pdf (Any fulltext), 6MB
 
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 Creators:
Steinhauser, D.1, 2, Author              
Junker, B. H.3, Author
Luedemann, A.4, Author              
Selbig, J.5, Author              
Kopka, J.6, Author              
Affiliations:
1Small Molecules, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, escidoc:1753340              
2Systems Metabolomics, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, Am Mühlenberg 1, 14476 Potsdam-Golm, DE, escidoc:1797285              
3External Organizations, escidoc:persistent22              
4Plant Molecular Chaperone Networks and Stress, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, escidoc:1753312              
5BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, escidoc:1753315              
6Applied Metabolome Analysis, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, escidoc:1753338              

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Free keywords: escherichia-coli k-12 operon prediction microbial genomes organization sequence
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Language(s): eng - English
 Dates: 2004-03-272004
 Publication Status: Published in print
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 Identifiers: ISI: ISI:000223588300012
DOI: 10.1093/bioinformatics/bth182
ISSN: 1367-4803 (Print)1367-4803 (Linking)
URI: ://000223588300012http://bioinformatics.oxfordjournals.org/content/20/12/1928.full.pdf
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Title: Bioinformatics
Source Genre: Journal
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Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 20 (12) Sequence Number: - Start / End Page: 1928 - 1939 Identifier: ISSN: 1367-4803
CoNE: http://pubman.mpdl.mpg.de/cone/journals/resource/954926969991