Bioinformatics and molecular evolution

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Hauptverfasser: Higgs, Paul G. (VerfasserIn), Attwood, Teresa K. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Malden, MA [u.a.] Blackwell Publ. 2005
Ausgabe:1. publ.
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MARC

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650 4 |a aComputational Biology 
650 4 |a aEvolution, Molecular 
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Datensatz im Suchindex

DE-BY-TUM_call_number 1002/BIO 110f 2005 A 717
DE-BY-TUM_katkey 1494078
DE-BY-TUM_media_number 040050370646
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adam_text BIOINFORMATICS AND MOLECULAR EVOLUTION PAUL G. HIGGS AND TERESA K. ATTWOOD UNIVOI-AITSL;.:.- UI:;I LARSDAS- BIBIIOIHEK DARMSTADT BIBLIOTHOK EICLOGIE IFV.-NR. PUBLISHING SHORT CONTENTS PREFACE X CHAPTER PLAN XIII 1 INTRODUCTION: THE REVOLUTION IN BIOLOGICAL INFORMATION 1 2 NUCLEIC ACIDS, PROTEINS, AND AMINO ACIDS 12 3 MOLECULAR EVOLUTION AND POPULATION GENETICS 37 4 MODELS OF SEQUENCE EVOLUTION 58 5 INFORMATION RESOURCES FOR GENES AND PROTEINS 81 6 SEQUENCE ALIGNMENT ALGORITHMS 119 7 SEARCHING SEQUENCE DATABASES 139 8 PHYLOGENETIC METHODS 158 9 PATTERNS IN PROTEIN FAMILIES 195 10 PROBABILISTIC METHODS AND MACHINE LEARNING 227 11 FURTHER TOPICS IN MOLECULAR EVOLUTION AND PHYLOGENETICS 257 12 GENOME EVOLUTION 283 13 DNA MICROARRAYS AND THE OMES 313 MATHEMATICAL APPENDIX 343 LIST OF WEB ADDRESSES 355 GLOSSARY 357 INDEX 363 COLOR PLATES FALL BETWEEN PAGES 194 AND 195 FULL CONTENTS PREFACE X 1 INTRODUCTION: THE REVOLUTION IN BIOLOGICAL INFORMATION 1 1.1 DATA EXPLOSIONS 1 1.2 GENOMICS AND HIGH-THROUGHPUT TECHNIQUES 5 1.3 WHAT IS BIOINFORMATICS? 6 1.4 THE RELATIONSHIP BETWEEN POPULATION GENETICS, MOLECULAR EVOLUTION, AND BIOINFORMATICS 7 SUMMARY * REFERENCES * PROBLEMS 10 2 NUCLEIC ACIDS, PROTEINS, AND AMINO ACIDS 12 2.1 NUCLEIC ACID STRUCTURE 12 2.2 PROTEIN STRUCTURE 14 2.3 THE CENTRAL DOGMA 16 2.4 PHYSICO-CHEMICAL PROPERTIES OF THE AMINO ACIDS AND THEIR IMPORTANCE IN PROTEIN FOLDING 22 2.1 POLYMERASE CHAIN REACTION (PCR) 23 2.5 VISUALIZATION OF AMINO ACID PROPERTIES USING PRINCIPAL COMPONENT ANALYSIS 2 5 2.6 CLUSTERING AMINO ACIDS ACCORDING TO THEIR PROPERTIES * - 28 2.2 PRINCIPAL COMPONENT ANALYSIS IN MORE DETAIL 29 SUMMARY * REFERENCES * SELF-TEST BIOLOGICAL BACKGROUND 34 3 MOLECULAR EVOLUTION AND POPULATION GENETICS 37 3.1 WHAT IS EVOLUTION? 37 3.2 MUTATIONS 39 3.3 SEQUENCE VARIATION WITHIN AND BETWEEN SPECIES 40 3.4 GENEALOGICAL TREES AND COALESCENCE 44 3.5 THE SPREAD OF NEW MUTATIONS 46 3.J3 NEUTRAL EVOLUTION AND ADAPTATION 49 3.1 THE INFLUENCE OF SELECTION ON THE FIXATION PROBABILITY * 50 3.2 A DETERMINISTIC THEORY FOR THE SPREAD OF MUTATIONS 51 SUMMARY * REFERENCES * PROBLEMS 54 4 MODELS OF SEQUENCE EVOLUTION 58 4.1 MODELS OF NUCLEIC ACID SEQUENCE EVOLUTION 58 14.1 SOLUTION OF THE JUKES-CANTOR MODEL 61 4.2 THE P AM MODEL OF PROTEIN SEQUENCE EVOLUTION 65 14.2 PAM DISTANCES 70 4.3 LOG-ODDS SCORING MATRICES FOR AMINO ACIDS 71 SUMMARY * REFERENCES * PROBLEMS * SELF-TEST MOLECULAR EVOLUTION 76 5 INFORMATION RESOURCES FOR GENES AND PROTEINS 81 5.1 WHY BUILD A DATABASE? 81 5.2 DATABASE FILE FORMATS 82 VII NUCLEIC ACID SEQUENCE DATABASES PROTEIN SEQUENCE DATABASES , PROTEIN FAMILY DATABASES COMPOSITE PROTEIN PATTERN DATABASES PROTEIN STRUCTURE DATABASES OTHER TYPES OF BIOLOGICAL DATABASE 5.3 5.4 5.5 5.6 5.7 5.8 SUMMARY * REFERENCES 6 SEQUENCE ALIGNMENT ALGORITHMS 6.1 WHAT IS AN ALGORITHM? 6.2 PAIRWISE SEQUENCE ALIGNMENT - THE PROBLEM 6.3 PAIRWISE SEQUENCE ALIGNMENT - DYNAMIC PROGRAMMING METHODS 6.4 THE EFFECT OF SCORING PARAMETERS ON THE ALIGNMENT 6.5 MULTIPLE SEQUENCE ALIGNMENT SUMMARY * REFERENCES * PROBLEMS 7 SEARCHING SEQUENCE DATABASES 7.1 SIMILARITY SEARCH TOOLS 7.2 ALIGNMENT STATISTICS (IN THEORY) 7.1 EXTREME VALUE DISTRIBUTIONS 7.2 DERIVATION OF THE EXTREME VALUE DISTRIBUTION IN THE WORD-MATCHING EXAMPLE 7.3 ALIGNMENT STATISTICS (IN PRACTICE) SUMMARY * REFERENCES * PROBLEMS * SELF-TEST ALIGNMENTS AND DATABASE SEARCHING 8 PHYLOGENETIC METHODS 8.1 UNDERSTANDING PHYLOGENETIC TREES 8.2 CHOOSING SEQUENCES 8.3 DISTANCE MATRICES AND CLUSTERING METHODS 8.1 CALCULATION OF DISTANCES IN THE NEIGHBOR-JOINING METHOD 8.4 BOOTSTRAPPING 8.5 TREE OPTIMIZATION CRITERIA AND TREE SEARCH METHODS 83 89 95 108 111 113 115 119 119 121 123 127 130 136 139 139 147 151 152 153 155 158 158 161 162 167 169 171 8.3 THE MAXIMUM-LIKELIHOOD CRITERION 173 8.2 CALCULATING THE LIKELIHOOD OF THE DATA ON A GIVEN TREE 174 8.7 THE PARSIMONY CRITERION 177 8.8 OTHER METHODS RELATED TO MAXIMUM LIKELIHOOD 179 8.3 CALCULATING POSTERIOR PROBABILITIES 182 SUMMARY * REFERENCES * PROBLEMS * SELF-TEST PHYLOGENETIC METHODS 185 9 PATTERNS IN PROTEIN FAMILIES 195 9.1 GOING BEYOND PAIRWISE ALIGNMENT METHODS FOR DATABASE SEARCHES 195 9.2 REGULAR EXPRESSIONS 197 9.3 FINGERPRINTS 200 9.4 PROFILES AND PSSMS 205 9.5 BIOLOGICAL APPLICATIONS - G PROTEIN-COUPLED RECEPTORS 208 SUMMARY * REFERENCES * PROBLEMS * SELF-TEST PROTEIN FAMILIES AND DATABASES 216 10 PROBABILISTIC METHODS AND MACHINE LEARNING 227 10.1 USING MACHINE LEARNING FOR PATTERN RECOGNITION IN BIOINFORMATICS 227 10.2 PROBABILISTIC MODELS OF SEQUENCES- BASIC INGREDIENTS * 228 10.1 DIRICHLET PRIOR DISTRIBUTIONS 232 103 INTRODUCING HIDDEN MARKOV MODELS 234 10.2 THE VITERBI ALGORITHM 238 110.3 THE FORWARD AND BACKWARD ALGORITHMS 239 10.4 PROFILE HIDDEN MARKOV MODELS 241 10.5 NEURAL NETWORKS 244 10.4 THE BACK-PROPAGATION Y ALGORITHM 249 10.6 NEURAL NETWORKS AND PROTEIN SECONDARY STRUCTURE PREDICTION 250 SUMMARY * REFERENCES * PROBLEMS 253 VIII 11 FURTHER TOPICS IN MOLECULAR EVOLUTION AND PHYLOGENETICS 11.1 RNA STRUCTURE AND EVOLUTION 11.2 FITTING EVOLUTIONARY MODELS TO SEQUENCE DATA 11.3 APPLICATIONS OF MOLECULAR PHYLOGENETICS SUMMARY * REFERENCES 12 GENOME EVOLUTION 12.1 PROKARYOTIC GENOMES JFJRA 12.1 WEB RESOURCES FOR BACTERIAL GENOMES 12.2 ORGANELLAR GENOMES SUMMARY * REFERENCES 13 DNA MICROARRAYSAND THE OMES 13.1 OMES AND OMICS 13.2 HOW DO MICROARRAYS WORK? 13.3 NORMALIZATION OF MICROARRAY DATA 13.4 PATTERNS IN MICROARRAY DATA 13.5 PROTEOMICS 13.6 INFORMATION MANAGEMENT FOR THE OMES 257 257 266 272 279 283 283 284 298 309 313 313 314 316 319 325 330 (IRA 1 3.1 EXAMPLES FROM THE GENE ONTOLOGY SUMMARV * REFERENCES * SELF-TEST MATHEMATICAL APPENDIX M.I M.2 M.3 M.4 M.5 M.6 M.7 M.8 M.9 M.10 M.LL M.12 M.13 EXPONENTIALS AND LOGARITHMS FACTORIALS SUMMATIONS PRODUCTS PERMUTATIONS AND COMBINATIONS DIFFERENTIATION INTEGRATION DIFFERENTIAL EQUATIONS BINOMIAL DISTRIBUTIONS NORMAL DISTRIBUTIONS POISSON DISTRIBUTIONS CHI-SQUARED DISTRIBUTIONS GAMMA FUNCTIONS AND GAMMA DISTRIBUTIONS PROBLEMS * SELF-TEST LIST OF WEB ADDRESSES GLOSSARY INDEX 335 337 343 343 344 344 345 345 346 347 347 348 348 350 35.1 352 353 355 357 363 IX
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author Higgs, Paul G.
Attwood, Teresa K.
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author_facet Higgs, Paul G.
Attwood, Teresa K.
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contents The revolution in biological information -- Nucleic acids, proteins, and amino acids -- Molecular evolution and population genetics -- Models of sequence evolution -- Information resources for genes and proteins -- Sequence alignment algorithms -- Searching sequence databases -- Phylogenetic methods -- Patterns in protein families -- Probabilistic methods and machine learning -- Further topics in molecular evolution and phylogenetics -- Genome evolution -- DNA microarrays and the 'omes.
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Informatik
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spellingShingle Higgs, Paul G.
Attwood, Teresa K.
Bioinformatics and molecular evolution
The revolution in biological information -- Nucleic acids, proteins, and amino acids -- Molecular evolution and population genetics -- Models of sequence evolution -- Information resources for genes and proteins -- Sequence alignment algorithms -- Searching sequence databases -- Phylogenetic methods -- Patterns in protein families -- Probabilistic methods and machine learning -- Further topics in molecular evolution and phylogenetics -- Genome evolution -- DNA microarrays and the 'omes.
Algoritmos e estruturas de dados larpcal
Bio-informatique
Bioinformática larpcal
Évolution moléculaire
aMolecular evolution xMathematical models
aBioinformatics
aComputational Biology
aEvolution, Molecular
aGenetics
Bioinformatik (DE-588)4611085-9 gnd
Molekulare Evolution (DE-588)4812902-1 gnd
subject_GND (DE-588)4611085-9
(DE-588)4812902-1
title Bioinformatics and molecular evolution
title_auth Bioinformatics and molecular evolution
title_exact_search Bioinformatics and molecular evolution
title_full Bioinformatics and molecular evolution Paul G. Higgs and Teresa K. Attwood
title_fullStr Bioinformatics and molecular evolution Paul G. Higgs and Teresa K. Attwood
title_full_unstemmed Bioinformatics and molecular evolution Paul G. Higgs and Teresa K. Attwood
title_short Bioinformatics and molecular evolution
title_sort bioinformatics and molecular evolution
topic Algoritmos e estruturas de dados larpcal
Bio-informatique
Bioinformática larpcal
Évolution moléculaire
aMolecular evolution xMathematical models
aBioinformatics
aComputational Biology
aEvolution, Molecular
aGenetics
Bioinformatik (DE-588)4611085-9 gnd
Molekulare Evolution (DE-588)4812902-1 gnd
topic_facet Algoritmos e estruturas de dados
Bio-informatique
Bioinformática
Évolution moléculaire
aMolecular evolution xMathematical models
aBioinformatics
aComputational Biology
aEvolution, Molecular
aGenetics
Bioinformatik
Molekulare Evolution
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