Discovering functional gene expression patterns in the metabolic network of Escherichia coli with wavelets transforms |
| |
| Authors: | Rainer König Gunnar Schramm Marcus Oswald Hanna Seitz Sebastian Sager Marc Zapatka Gerhard Reinelt Roland Eils |
| |
| Institution: | (1) Department of Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology, University of Heidelberg, 69120 Heidelberg, Germany;(2) Theoretical Bioinformatics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany;(3) Institute of Computer Science, University of Heidelberg, 69120 Heidelberg, Germany;(4) Interdisciplinary Center for Scientific Computing, University of Heidelberg, 69120 Heidelberg, Germany |
| |
| Abstract: | Background Microarray technology produces gene expression data on a genomic scale for an endless variety of organisms and conditions.
However, this vast amount of information needs to be extracted in a reasonable way and funneled into manageable and functionally
meaningful patterns. Genes may be reasonably combined using knowledge about their interaction behaviour. On a proteomic level,
biochemical research has elucidated an increasingly complete image of the metabolic architecture, especially for less complex
organisms like the well studied bacterium Escherichia coli. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
