000724778 000__ 02868cam\a2200493\i\4500 000724778 001__ 724778 000724778 005__ 20230306140551.0 000724778 006__ m\\\\\o\\d\\\\\\\\ 000724778 007__ cr\cn\nnnunnun 000724778 008__ 141209t20152015gw\a\\\\ob\\\\000\0\eng\d 000724778 019__ $$a908087753 000724778 020__ $$a9783658082697$$qelectronic book 000724778 020__ $$a3658082690$$qelectronic book 000724778 020__ $$z9783658082680 000724778 0247_ $$a10.1007/978-3-658-08269-7$$2doi 000724778 035__ $$aSP(OCoLC)ocn897810369 000724778 035__ $$aSP(OCoLC)897810369$$z(OCoLC)908087753 000724778 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dYDXCP$$dCOO$$dGW5XE$$dOCLCF$$dVLB$$dIDEBK$$dE7B$$dEBLCP 000724778 049__ $$aISEA 000724778 050_4 $$aQP552.T68$$bW55 2015eb 000724778 08204 $$a572.8/845$$223 000724778 1001_ $$aWill, Thorsten,$$eauthor. 000724778 24510 $$aPredicting transcription factor complexes$$h[electronic resource] :$$ba novel approach to data integration in systems biology /$$cThorsten Will. 000724778 264_1 $$aWiesbaden, [Germany] :$$bSpringer Spektrum,$$c[2015] 000724778 264_4 $$c©2015 000724778 300__ $$a1 online resource :$$billustrations. 000724778 336__ $$atext$$btxt$$2rdacontent 000724778 337__ $$acomputer$$bc$$2rdamedia 000724778 338__ $$aonline resource$$bcr$$2rdacarrier 000724778 4901_ $$aBestMasters 000724778 504__ $$aIncludes bibliographical references (pages 121-142). 000724778 5050_ $$aProtein Complex Prediction -- Protein-Protein Interaction Networks -- Domain-Domain Interaction Networks -- Combinatorial Algorithms -- Algorithm Engineering. 000724778 506__ $$aAccess limited to authorized users. 000724778 520__ $$aIn 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. 000724778 650_0 $$aTranscription factors. 000724778 650_0 $$aGenetic regulation. 000724778 650_0 $$aBioinformatics. 000724778 650_0 $$aProteins$$xConformation. 000724778 77608 $$iPrint version:$$tPredicting Transcription Factor Complexes$$z9783658082680$$w(OCoLC)895729964 000724778 830_0 $$aBestMasters. 000724778 852__ $$bebk 000724778 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-658-08269-7$$zOnline Access$$91397441.1 000724778 909CO $$ooai:library.usi.edu:724778$$pGLOBAL_SET 000724778 980__ $$aEBOOK 000724778 980__ $$aBIB 000724778 982__ $$aEbook 000724778 983__ $$aOnline 000724778 994__ $$a92$$bISE