The condition-dependent transcriptional network in Escherichia coli
| Autor: | Bart De Moor, Julio Collado-Vides, Kathleen Marchal, Thomas Dhollander, Kristof Engelen, Karen Lemmens, Pieter Monsieurs, Tijl De Bie |
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| Rok vydání: | 2009 |
| Předmět: |
Data source
Models Genetic Computer science General Neuroscience Gene Expression Profiling Computational Biology Computational biology Gene Expression Regulation Bacterial computer.software_genre medicine.disease_cause Bioinformatics General Biochemistry Genetics and Molecular Biology Omics data History and Philosophy of Science Databases Genetic medicine Escherichia coli Gene Regulatory Networks computer Condition dependent Algorithms Data integration Oligonucleotide Array Sequence Analysis |
| Zdroj: | Annals of the New York Academy of Sciences. 1158 |
| ISSN: | 1749-6632 |
| Popis: | Thanks to the availability of high-throughput omics data, bioinformatics approaches are able to hypothesize thus-far undocumented genetic interactions. However, due to the amount of noise in these data, inferences based on a single data source are often unreliable. A popular approach to overcome this problem is to integrate different data sources. In this study, we describe DISTILLER, a novel framework for data integration that simultaneously analyzes microarray and motif information to find modules that consist of genes that are co-expressed in a subset of conditions, and their corresponding regulators. By applying our method on publicly available data, we evaluated the condition-specific transcriptional network of Escherichia coli. DISTILLER confirmed 62% of 736 interactions described in RegulonDB, and 278 novel interactions were predicted. |
| Databáze: | OpenAIRE |
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