• 
  生物信息学中的数...
  ￥109.02元

无

样章试读

• 暂时还没有任何用户评论

总计 0 个记录，共 1 页。 第一页 上一页 下一页 最末页

全部咨询(共0条问答)

• 暂时还没有任何用户咨询内容

总计 0 个记录，共 1 页。 第一页 上一页 下一页 最末页

用户名：	匿名用户
E-mail：
咨询内容：

• Contents
  Part I Sequence Analysis
  1 Introduction: Biological Sequences 3
  2.2 Dynamic Programming: Global Alignment 9
  2.3 Dynamic Programming: Local Alignment 10
  2.4 Alignment with Affine Gap Model 12
  2.5 Heuristic Alignment Algorithms 14
  2.7.2 Progressive Alignment 20
  3 Markov Chains and Hidden Markov Models 25
  3.4 The Forward Algorithm 40
  3.5 The Backward Algorithm and Posterior Decoding 41
  3.6 Parameter Estimation for HMMs 45
  3.6.1 Estimation when Paths are Known 46
  3.6.2 Estimation when Paths are Unknown 47
  3.9 Multiple Sequence Alignment by Profile HMMs 66
  Exercises 68
  4.1 Levels of Protein Structure 75
  4.2 Prediction by Profile HMMs 79
  4.4 Molecular Modeling 82
  5 Phylogenetic Reconstruction 89
  5.1 Phylogenetic rlyees N 89
  5.3 Distance Methods 96
  5.4 Evolutionary Models 122
  5.4.1 The Jukes-Cantor Model 127
  5.4.2 The Kimura Model 128
  5.4.3 The Felsenstein Model 129
  5.4.4 The Hasegawa-Kishino-Yano (HKY) Model 130
  5.5 Maximum Likelihood Method 130
  Exercises 139
  Part II Mathematical Background for Sequence Analysis
  6 Elements of Probability Theory 145
  6.1 Sample Spaces and Events 145
  6.2 Probability Measure 151
  6.3 Conditional Probability 159
  6.5 Integration of Random Variables 163
  6.6 Monotone Functions on the Real Line 172
  6.7 Distribution Functions 176
  6.8 Common Types of Random Variables 181
  6.8.1 The Discrete Type 181
  6.8.2 The Continuous Type 182
  6.9 Common Discrete and Continuous Distributions 184
  6.9.1 The Discrete Case 184
  6.9.2 The Continuous Case 188
  6.10 Vector-Valued Random Variables 191
  6.11 Sequences of Random Variables 196
  Exercises 205
  7 Significance of Sequence Alignment Scores 209
  7.1 The Problem 209
  7.3 Significance of Scores 220
  Exercises 228
  8 Elements of Statistics 231
  8.1 Statistical Modeling 231
  8.2 Parameter Estimation 235
  8.3 Hypothesis Testing 256
  8.4 Significance of Scores for Global Alignments 266
  Exercises 269
  9 Substitution Matrices 271
  9.1 The General Form of a Substitution Matrix 271
  9.2 PAM Substitution Matrices 273
  9.3 BLOSUM Substitution Matrices 279
  Exercises 283
  References 285