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Predicting transcription factor comp...

Will, Thorsten.

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Predicting transcription factor complexes = a novel approach to data integration in systems biology /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Predicting transcription factor complexes/ by Thorsten Will.
Reminder of title:	a novel approach to data integration in systems biology /
Author:	Will, Thorsten.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden : : 2015.,
Description:	xix, 142 p. :ill., digital ;24 cm.
[NT 15003449]:	Protein Complex Prediction -- Protein-Protein Interaction Networks -- Domain-Domain Interaction Networks -- Combinatorial Algorithms -- Algorithm Engineering.
Contained By:	Springer eBooks
Subject:	Transcription factors. -
Online resource:	http://dx.doi.org/10.1007/978-3-658-08269-7
ISBN:	9783658082697 (electronic bk.)

Predicting transcription factor complexes = a novel approach to data integration in systems biology /
Will, Thorsten.

Predicting transcription factor complexesa novel approach to data integration in systems biology /[electronic resource] :by Thorsten Will. - Wiesbaden :Springer Fachmedien Wiesbaden :2015. - xix, 142 p. :ill., digital ;24 cm. - BestMasters. - BestMasters..

Protein Complex Prediction -- Protein-Protein Interaction Networks -- Domain-Domain Interaction Networks -- Combinatorial Algorithms -- Algorithm Engineering.

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 Saarbrucken, Germany.

ISBN: 9783658082697 (electronic bk.)

Standard No.: 10.1007/978-3-658-08269-7doiSubjects--Topical Terms:

669191
Transcription factors.

LC Class. No.: QP552.T68

Dewey Class. No.: 572.8845

Predicting transcription factor complexes = a novel approach to data integration in systems biology /
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100 1 $a Will, Thorsten. $3 2133196
245 1 0 $a Predicting transcription factor complexes $h [electronic resource] : $b a novel approach to data integration in systems biology / $c by Thorsten Will.
260 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer Spektrum, $c 2015.
300 $a xix, 142 p. : $b ill., digital ; $c 24 cm.
490 1 $a BestMasters
505 0 $a Protein Complex Prediction -- Protein-Protein Interaction Networks -- Domain-Domain Interaction Networks -- Combinatorial Algorithms -- Algorithm Engineering.
520 $a 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 Saarbrucken, Germany.
650 0 $a Transcription factors. $3 669191
650 0 $a Genetic regulation. $3 600658
650 0 $a Bioinformatics. $3 553671
650 0 $a Proteins $x Conformation. $3 696033
650 1 4 $a Life Sciences. $3 890838
650 2 4 $a Computer Appl. in Life Sciences. $3 892390
650 2 4 $a Mathematical and Computational Biology. $3 1566274
710 2 $a SpringerLink (Online service) $3 836513
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856 4 0 $u http://dx.doi.org/10.1007/978-3-658-08269-7
950 $a Behavioral Science (Springer-11640)