Predicting Transcription Factor Complexes
In his master thesis Thorsten Will proposes the substantial information content of protein complexes involving transcription factors in the context of gene regulatory networks, designs the first computational approaches to predict such complexes as well as their regulatory function and verifies the practicability using data of the well-studied yeast S.cereviseae. The novel insights offer extensive capabilities towards a better understanding of the combinatorial control driving transcriptional regulation.
| Autor: | Will, Thorsten |
|---|---|
| ISBN: | 9783658082680 |
| Sprache: | Englisch |
| Seitenzahl: | 142 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer Fachmedien Wiesbaden GmbH |
| Veröffentlicht: | 18.12.2014 |
| Untertitel: | A Novel Approach to Data Integration in Systems Biology |
| Schlagworte: | Bioinformatics Gene Regulatory Networks Graph Algorithms Protein Complexes Transcriptional Regulation |
Currently, the author is pursuing his Ph.D. at the Center for Bioinformatics in Saarbrücken, Germany.