LEADER 06169nam 2200769Ia 450 001 9910784980403321 005 20230721031046.0 010 $a1-281-86759-4 010 $a9786611867591 010 $a1-86094-873-1 035 $a(CKB)1000000000408561 035 $a(EBL)1679501 035 $a(OCoLC)879023688 035 $a(SSID)ssj0000127743 035 $a(PQKBManifestationID)11148051 035 $a(PQKBTitleCode)TC0000127743 035 $a(PQKBWorkID)10052518 035 $a(PQKB)11747920 035 $a(MiAaPQ)EBC1679501 035 $a(WSP)0000P525 035 $a(Au-PeEL)EBL1679501 035 $a(CaPaEBR)ebr10255996 035 $a(CaONFJC)MIL186759 035 $a(EXLCZ)991000000000408561 100 $a20071006d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComputational systems bioinformatics$b[electronic resource] $eCSB2007 Conference proceedings, volume 6, University of California, San Diego, 13-17 August 2007 /$feditors, Peter Markstein, Ying Xu 210 $aLondon $cImperial College Press ;$aSingapore ;$aHackensack, NJ $cDistributed by World Scientific$d2007 215 $a1 online resource (472 p.) 225 1 $aSeries on Advances in Bioinformatics and Computational Biology ;$vv.6 225 0$aSeries on advances in bioinformatics and computational biology 300 $a"Sixth Annual Computational Systems Bioinformatics Conference". 300 $aAt head of title: Life Sciences Society. 311 $a1-86094-872-3 320 $aIncludes bibliographical references and index. 327 $aCONTENTS; Preface; Committees; Referees; Keynote Address; Quantitative Aspects of Gene Regulation in Bacteria: Amplification. Threshold, and Combinatorial Control Terry Hwa; Whole-Genome Analysis of Dorsal Gradient Thresholds in the Drosophila Embryo Julia ZeitlingeK Rob Zinzen, Dmitri Papatsenko et al.; Invited Talks; Learning Predictive Models of Gene Regulation Christina Leslie; The Phylofacts Phylogenomic Encyclopedias: Structural Phylogenomic Analysis Across the Tree of Life Kimmen Golander; Mapping and Analysis of the Human Interactome Network Kavitha Venkatesan; 1. INTRODUCTION 327 $aGene-Centered Protein-DNA lnteractome Mapping A.J. Marian WalhoutProteomics; Algorithm for Peptide Sequencing by Tandem Mass Spectrometry Based on Better Preprocessing and Anti-S ymmetric Computational Model Kang Ning and Hon Wai Leong; 1. INTRODUCTION; Preprocessing to remove noisy peaks; The anti-symmetric problem; 2. ANALYSIS OF PROBLEMS AND CURRENT ALGORITHMS; 2.1. General Terminologies; 2.2. Datasets; 2.3. Problems Analysis; 3. NEW COMPUTATIONAL MODELS AND ALGORITHM; 3.1. Preprocessing to remove noisy peaks and introduce pseudo peaks; 3.2. The Anti-symmetric Problem 327 $a3.3. Novel Peptide Sequencing Algorithm4. EXPERIMENTS; 4.1. Experiment Settings; 4.2. Results; 5. CONCLUSIONS; References; Algorithms for Selecting Breakpoint Locations to Optimize Diversity in Protein Engineering by Site-Directed Protein Recombination Wei Zheng, Xiaoduan Ye, Alan A4 Friedman and Chris Bailey-Kellogg; 1. INTRODUCTION; 2. METHODS; 2.1. Library Diversity; 2.2. Metrics for Breakpoint Selection; 2.3. Dynamic Programming for Breakpoint Selection; 3. RESULTS A N D DISCUSSION; 4. CONCLUSION; ACKNOWLEDGMENTS; References 327 $aAn Algorithmic Approach to Automated High-Throughput Identification of Disulfide Connectivity in Proteins Using Tandem Mass Spectrometry Timothy Lee, Rahul Singh, Ten-Yang Yen and Bruce Macher1. INTRODUCTION; 1.1. Comparison of the Proposed Approach with Related Works; 2. THE PROPOSED METHOD; 2.1. Problem Formulation; 2.2. Algorithmic Framework; 2.2.1. Finding the MS spectrum match; 2.2.2. Finding the MS/MS spectrum match; 2.2.3. Finding a perfect matching of maximum weight for a fully connected graph; 2.2.4. Consideration of missed proteolytic cleavages and intra-molecular bonded cysteines 327 $a2.2.5. Peak finding in the presence of noise2.2.6. Addressing isotopic variation and neutral loss; 2.2.7. Interpretation of peaks given charge state uncertainty; 2.2.8. Overall complexity; 3. EXPERIMENTAL RESULTS; 3.1. Description of the Data and Experimental Procedures; 3.2. Summary of Results; 3.2.1. Analysis of the effect of varying threshold t on results; 3.2.2. Comparison with MS2Assign program; 4. CONCLUSIONS AND DISCUSSION; Acknowledgments; References; Biomedical Application; Cancer Molecular Pattern Discovery by Subspace Consensus Kernel Classification Xiaoxu Hun; 1. INTRODUCTION 327 $a1 .1. Nonnegative matrix factorization 330 $aThis volume contains about 40 papers covering many of the latest developments in the fast-growing field of bioinformatics. The contributions span a wide range of topics, including computational genomics and genetics, protein function and computational proteomics, the transcriptome, structural bioinformatics, microarray data analysis, motif identification, biological pathways and systems, and biomedical applications. Abstracts from the keynote addresses and invited talks are also included. The papers not only cover theoretical aspects of bioinformatics but also delve into the application of n 410 0$aSeries on Advances in Bioinformatics and Computational Biology 606 $aBioinformatics$vCongresses 606 $aBiological systems$xComputer simulation$vCongresses 606 $aBiological systems$xSimulation methods$vCongresses 606 $aComputational biology$vCongresses 615 0$aBioinformatics 615 0$aBiological systems$xComputer simulation 615 0$aBiological systems$xSimulation methods 615 0$aComputational biology 676 $a572.80285 701 $aMarkstein$b Peter$01499502 701 $aXu$b Ying$f1960-$01165726 712 02$aLife Sciences Society. 712 12$aComputational Systems Bioinformatics Conference 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910784980403321 996 $aComputational systems bioinformatics$93725590 997 $aUNINA