TY  - BOOK
AU  - Will,Thorsten
ED  - SpringerLink (Online service)
TI  - Predicting Transcription Factor Complexes: A Novel Approach to Data Integration in Systems Biology 
T2  - BestMasters,
SN  - 9783658082697
AV  - QH324.2-324.25 
U1  - 570.285 23
PY  - 2015///
CY  - Wiesbaden
PB  - Springer Fachmedien Wiesbaden, Imprint: Springer Spektrum
KW  - Bioinformatics
KW  - Bioinformatics 
KW  - Computational biology 
KW  - Biomathematics
KW  - Computer Appl. in Life Sciences
KW  - Mathematical and Computational Biology
N1  - Protein Complex Prediction -- Protein-Protein Interaction Networks -- Domain-Domain Interaction Networks -- Combinatorial Algorithms -- Algorithm Engineering
N2  - 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. Contents Protein Complex Prediction Protein-Protein Interaction Networks Domain-Domain Interaction Networks Combinatorial Algorithms Algorithm Engineering  Target Groups Computational biologists and biologists working with gene regulatory networks Computer scientists interested in biological issues  The Author Currently, the author is pursuing his Ph.D. at the Center for Bioinformatics in Saarbrücken, Germany.  
UR  - https://doi.org/10.1007/978-3-658-08269-7
ER  -