LEADER 02242oam 2200637I 450 001 9910710000503321 005 20181130132404.0 035 $a(CKB)5470000002474257 035 $a(OCoLC)963232337 035 $a(OCoLC)995470000002474257 035 $a(EXLCZ)995470000002474257 100 $a20161118d1964 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGeology and ground-water resources of Washington, D.C., and vicinity /$fby Paul M. Johnston$iWith a section on chemical quality of the water by D.E. Weaver and Leonard Siu 210 1$a[Washington, D.C.] :$cUnited States Department of the Interior, Geological Survey,$d1964. 210 2$aWashington :$cUnited States Government Printing Office. 215 $a1 online resource (vi, 97 pages, 2 pages of plates) $cillustrations, maps 225 1 $aGeological Survey water-supply paper ;$v1776 320 $aIncludes bibliographical references (pages 88-94). 517 3 $aWith a section on chemical quality of the water by D.E. Weaver and Leonard Siu 606 $aGeology$zWashington Metropolitan Area 606 $aGroundwater$zWashington Metropolitan Area 606 $aWater$xComposition 606 $aWater-supply$zWashington Metropolitan Area 606 $aGeology$2fast 606 $aGroundwater$2fast 606 $aWater$xComposition$2fast 606 $aWater-supply$2fast 607 $aWashington (D.C.) Metropolitan Area$2fast 615 0$aGeology 615 0$aGroundwater 615 0$aWater$xComposition. 615 0$aWater-supply 615 7$aGeology. 615 7$aGroundwater. 615 7$aWater$xComposition. 615 7$aWater-supply. 700 $aJohnston$b P. M$g(Paul McKelvey),$f1904-1989,$01394867 702 $aSiu$b Leonard 702 $aWeaver$b D. E. 712 02$aGeological Survey (U.S.), 801 0$bCOP 801 1$bCOP 801 2$bOCLCO 801 2$bOCLCF 801 2$bGPO 801 2$bMERUC 801 2$bGPO 906 $aBOOK 912 $a9910710000503321 996 $aGeology and ground-water resources of Washington, D.C., and vicinity$93505457 997 $aUNINA LEADER 05704nam 22007334a 450 001 9911019329003321 005 20200520144314.0 010 $a9786610462704 010 $a9781280462702 010 $a1280462701 010 $a9780470362204 010 $a0470362200 010 $a9780471756507 010 $a0471756504 010 $a9780471756491 010 $a0471756490 035 $a(CKB)1000000000355188 035 $a(EBL)261003 035 $a(OCoLC)77371248 035 $a(SSID)ssj0000217942 035 $a(PQKBManifestationID)11186871 035 $a(PQKBTitleCode)TC0000217942 035 $a(PQKBWorkID)10212464 035 $a(PQKB)11051224 035 $a(MiAaPQ)EBC261003 035 $a(Perlego)2765626 035 $a(EXLCZ)991000000000355188 100 $a20050413d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aParallel computing for bioinformatics and computational biology $emodels, enabling technologies, and case studies /$fedited by Albert Y. Zomaya 210 $aHoboken, N.J. $cWiley-Interscience$dc2006 215 $a1 online resource (814 p.) 225 1 $aWiley series on parallel and distributed computing 300 $aDescription based upon print version of record. 311 08$a9780471718482 311 08$a0471718483 320 $aIncludes bibliographical references and index. 327 $aPARALLEL COMPUTING FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY; CONTENTS; Preface; Contributors; Acknowledgments; PART I ALGORITHMS AND MODELS; 1 Parallel and Evolutionary Approaches to Computational Biology; 1.1 Introduction; 1.2 Bioinformatics; 1.3 Evolutionary Computation Applied to Computational Biology; 1.4 Conclusions; References; 2 Parallel Monte Carlo Simulation of HIV Molecular Evolution in Response to Immune Surveillance; 2.1 Introduction; 2.2 The Problem; 2.3 The Model; 2.4 Parallelization with MPI; 2.5 Parallel Random Number Generation; 2.6 Preliminary Simulation Results 327 $a2.7 Future DirectionsReferences; 3 Differential Evolutionary Algorithms for In Vivo Dynamic Analysis of Glycolysis and Pentose Phosphate Pathway in Escherichia coli; 3.1 Introduction; 3.2 Mathematical Model; 3.3 Estimation of the Parameters of the Model; 3.4 Kinetic Parameter Estimation by DE; 3.5 Simulation and Results; 3.6 Stability Analysis; 3.7 Control Characteristic; 3.8 Conclusions; References; 4 Compute-Intensive Simulations for Cellular Models; 4.1 Introduction; 4.2 Simulation Methods for Stochastic Chemical Kinetics; 4.3 Aspects of Biology - Genetic Regulation 327 $a4.4 Parallel Computing for Biological Systems4.5 Parallel Simulations; 4.6 Spatial Modeling of Cellular Systems; 4.7 Modeling Colonies of Cells; References; 5 Parallel Computation in Simulating Diffusion and Deformation in Human Brain; 5.1 Introduction; 5.2 Anisotropic Diffusion Simulation in White Matter Tractography; 5.3 Brain Deformation Simulation in Image-Guided Neurosurgery; 5.4 Summary; References; PART II SEQUENCE ANALYSIS AND MICROARRAYS; 6 Computational Molecular Biology; 6.1 Introduction; 6.2 Basic Concepts in Molecular Biology; 6.3 Global and Local Biological Sequence Alignment 327 $a6.4 Heuristic Approaches for Biological Sequence Comparison6.5 Parallel and Distributed Sequence Comparison; 6.6 Conclusions; References; 7 Special-Purpose Computing for Biological Sequence Analysis; 7.1 Introduction; 7.2 Hybrid Parallel Computer; 7.3 Dynamic Programming Communication Pattern; 7.4 Performance Evaluation; 7.5 Future Work and Open Problems; 7.6 Tutorial; References; 8 Multiple Sequence Alignment in Parallel on a Cluster of Workstations; 8.1 Introduction; 8.2 CLUSTAL W; 8.3 Implementation; 8.4 Results; 8.5 Conclusion; References 327 $a9 Searching Sequence Databases Using High-Performance BLASTs9.1 Introduction; 9.2 Basic Blast Algorithm; 9.3 Blast Usage and Performance Factors; 9.4 High Performance BLASTs; 9.5 Comparing BLAST Performance; 9.6 UMD-BLAST; 9.7 Future Directions; 9.8 Related Work; 9.9 Summary; References; 10 Parallel Implementations of Local Sequence Alignment: Hardware and Software; 10.1 Introduction; 10.2 Sequence Alignment Primer; 10.3 Smith-Waterman Algorithm; 10.4 FASTA; 10.5 BLAST; 10.6 HMMER - Hidden Markov Models; 10.7 ClustalW; 10.8 Specialized Hardware: FPGA; 10.9 Conclusion; References 327 $a11 Parallel Computing in the Analysis of Gene Expression Relationships 330 $aDiscover how to streamline complex bioinformatics applications with parallel computingThis publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution.A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster 410 0$aWiley series on parallel and distributed computing. 606 $aBioinformatics 606 $aComputational biology 606 $aParallel processing (Electronic computers) 615 0$aBioinformatics. 615 0$aComputational biology. 615 0$aParallel processing (Electronic computers) 676 $a572.8/0285 701 $aZomaya$b Albert Y$0521938 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019329003321 996 $aParallel computing for bioinformatics and computational biology$94420315 997 $aUNINA