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.
| ISBN: | 9783658082680 |
| Publication date: | 18th December 2014 |
| Author: | Thorsten Will |
| Publisher: | Springer Spektrum an imprint of Springer Fachmedien Wiesbaden |
| Format: | Paperback |
| Pagination: | 142 pages |
| Series: | BestMasters |
| Genres: |
Computational biology / bioinformatics |
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.
Predicting Transcription Factor Complexes features in the following genres: Computational biology / bioinformatics
Paperback. Not Available.
Predicting Transcription Factor Complexes was written by Thorsten Will and published by Springer Spektrum an imprint of Springer Fachmedien Wiesbaden
Predicting Transcription Factor Complexes has 142 pages
Yes it is part of BestMasters series