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100   $a20141205d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aPredicting Transcription Factor Complexes $eA Novel Approach to Data Integration in Systems Biology /$fby Thorsten Will
205   $a1st ed. 2015.
210  1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Spektrum,$d2015.
215   $a1 online resource (155 p.)
225 1 $aBestMasters,$x2625-3577
300   $aDescription based upon print version of record.
311   $a3-658-08268-2 
320   $aIncludes bibliographical references.
327   $aProtein Complex Prediction -- Protein-Protein Interaction Networks -- Domain-Domain Interaction Networks -- Combinatorial Algorithms -- Algorithm Engineering.
330   $aIn his master thesis Thorsten Will proposes the substantial information content of protein complexes involving transcription factors in the context of gene regulatory  networks, designs the first computational approaches to predict such complexes as well as their regulatory function and verifies the practicability using data of the well-studied yeast S.cereviseae. The novel insights offer extensive capabilities towards a better understanding of the combinatorial control driving transcriptional regulation. Contents Protein Complex Prediction Protein-Protein Interaction Networks Domain-Domain Interaction Networks Combinatorial Algorithms Algorithm Engineering  Target Groups Computational biologists and biologists working with gene regulatory networks Computer scientists interested in biological issues  The Author Currently, the author is pursuing his Ph.D. at the Center for Bioinformatics in Saarbrücken, Germany.  .
410  0$aBestMasters,$x2625-3577
606   $aBioinformatics
606   $aBioinformatics 
606   $aComputational biology 
606   $aBiomathematics
606   $aBioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15001
606   $aComputer Appl. in Life Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/L17004
606   $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000
615  0$aBioinformatics.
615  0$aBioinformatics .
615  0$aComputational biology .
615  0$aBiomathematics.
615 14$aBioinformatics.
615 24$aComputer Appl. in Life Sciences.
615 24$aMathematical and Computational Biology.
676   $a570
676   $a570.285
676   $a570285
700   $aWill$b Thorsten$4aut$4http://id.loc.gov/vocabulary/relators/aut$0991433
906   $aBOOK
912   $a9910304142603321
996   $aPredicting Transcription Factor Complexes$92268957
997   $aUNINA