LEADER 05744nam 2200745 a 450 001 9910810161203321 005 20240516082749.0 010 $a1-283-14348-8 010 $a9786613143488 010 $a1-84816-658-3 035 $a(CKB)3190000000000628 035 $a(EBL)731066 035 $a(OCoLC)738433312 035 $a(SSID)ssj0000522852 035 $a(PQKBManifestationID)12212601 035 $a(PQKBTitleCode)TC0000522852 035 $a(PQKBWorkID)10538806 035 $a(PQKB)10092870 035 $a(MiAaPQ)EBC731066 035 $a(WSP)0000P756 035 $a(Au-PeEL)EBL731066 035 $a(CaPaEBR)ebr10480088 035 $a(CaONFJC)MIL314348 035 $a(EXLCZ)993190000000000628 100 $a20110222d2010 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGenome informatics 2010 $ethe 10th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2010) : Kyoto University, Japan, 26-28 July 2010 /$feditors, Tatsuya Akutsu ... [et al.] 205 $a1st ed. 210 $aLondon $cImperial College Press$dc2010 215 $a1 online resource (280 p.) 225 1 $aGenome informatics series,$x0919-9454 ;$vv. 24 300 $aDescription based upon print version of record. 311 $a1-84816-657-5 320 $aIncludes bibliographical references and index. 327 $aCONTENTS; PREFACE; PROGRAM COMMITTEE; KINETIC MODELLING OF DNA REPLICATION INITIATION IN BUDDING YEAST; 1. Introduction; 2. ODE Model of the DNA Replication Initiation; 2.1. Model Construction; 2.2. Deriving Parameters from Experimental Data; 2.3. Fitting Parameters to Experimental Data; 3. Results; 3.1. Simulation Results and Network Properties; 3.2. DNA Replication Mutants; 4. Discussion; 5. Conclusion; Acknowledgments; Appendix A.; Appendix A.1. Detailed Description of the Replisome Activation; Appendix A.1.1. Assembly of the Pre-RC 327 $aAppendix A.1.2. Assembly of the Pre-IC and Replisome Activation References; PREDICTING PROTEIN COMPLEX GEOMETRIES WITH LINEAR SCORING FUNCTIONS; 1. Introduction; 2. Methods; 2.1. Database of protein complexes and decoys; 2.2. Linear scoring function; 3. Results and Discussion; 3.1. Performance comparison; 4. Conclusions; Acknowledgments; References; CHARACTERIZING COMMON SUBSTRUCTURES OF LIGANDS FOR GPCR PROTEIN SUBFAMILIES; 1. Introduction; 2. Methods; 2.1. Dataset; 2.2. Chemical structure comparison; 2.3. Extracting common substructures; 3. Results; 4. Discussion; Acknowledgments; References 327 $aA SYSTEMS BIOLOGY APPROACH: MODELLING OF AQUAPORIN-2 TRAFFICKING 1. Introduction; 1.1. Biological background; 1.2. Existing models; 1.3. Aims; 2. Methods; 2.1. Time course simulation, parameter estimation and time-dependent sensitivity analysis; 2.2. Cell surface biotinylation; 3. Results; 3.1. The model; 3.2. Time course simulation and parameter estimation; 3.3. Model variations and ranking; 3.4. Time-dependent sensitivity analysis; 3.5. Experiment: AQP2 transloeation after dDAVP stimulation; 3.6. Model predictions, analysis, and comparison with recent data; 4. Discussion; Acknowledgements 327 $aReferences COMPARISON OF GENE EXPRESSION PROFILES PRODUCED BY CAGE, ILLUMINA MICRO-ARRAY AND REAL TIME RT-PCR; 1. Introduction; 2. Materials and Methods; 2.1. CAGE data summary; 2.2. Qualitative comparison between CAGE, illumina microarray and qRT-PCR; 2.3. Correlation analysis; 3. Results and Discussions; 3.1. Qualitative analysis; 3.2. Quantitative analysis; 4. Conclusions; Acknowledgements; References; ON THE PERFORMANCE OF METHODS FOR FINDING A SWITCHING MECHANISM IN GENE EXPRESSION; 1. Introduction; 2. Method; 2.1. Notations and preliminaries 327 $a2.2. Fast finding three-way gene interaction (FTGI)2.2.1. Logistic regression; 2.2.2. Log-likelihood test; 2.2.3. Mean-Co-variance (MC) test; 2.2.4. Procedure of FTGI; 2.3. The difference of correlation coefficients; 2.3.1. Pearson correlation coefficient; 2.3.2. Spearman correlation coefficient; 2.3.3. Biweight midcorrelation; 3. Experimental Result; 3.1. Data; 3.2. Computation time; 3.3. Top ranked gene combinations; 4. Discussion; Acknowledgements; References; GENE REGULATORY NETWORK CLUSTERING FOR GRAPH LAYOUT BASED ON MICROARRAY GENE EXPRESSION DATA; 1. Introduction; 2. Methods 327 $a2.1. Model setting 330 $aThis volume contains 18 peer-reviewed papers based on the presentations at the 10th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2010) held at Kyoto University from July 26 to July 28, 2010. This workshop started in 2001 as an event for doctoral students and young researchers to present and discuss their research results and approaches in bioinformatics and systems biology. It is part of a collaborative educational program involving leading institutions and leaders committed to the following programs: Boston - Graduate Program in Bioinformatics, Boston University; 410 0$aGenome informatics series ;$vno. 24. 606 $aGenomics$xData processing$vCongresses 606 $aGenomics$vCongresses 606 $aBioinformatics$vCongresses 606 $aBiological systems$vCongresses 615 0$aGenomics$xData processing 615 0$aGenomics 615 0$aBioinformatics 615 0$aBiological systems 676 $a572.80285 676 $a572.86 701 $aAkutsu$b Tatsuya$f1962-$01626027 712 12$aInternational Workshop on Bioinformatics and Systems Biology 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910810161203321 996 $aGenome informatics 2010$93961836 997 $aUNINA