7月 12

CurrentProtocolsInBioinformatics合集

.:
Appendix
Chapter 10 Comparing Large Sequence Sets
Chapter 11 Assembling Sequences
Chapter 12 analyzing rna sequence and structure
Chapter 13 Using Proteomics Techniques
Chapter 14 Cheminformatics
Chapter 1 Using Biological Databases
Chapter 2 Recognizing Functional Domains
Chapter 3 Finding Similarities and Inferring Homologies
Chapter 4 Finding Genes
Chapter 5 Modeling Structure from Sequence
Chapter 6 Inferring Evolutionary Relationships
Chapter 7 Analyzing Expression Patterns
Chapter 8 Analyzing Molecular Interactions
Chapter 9 Building Biological Databases
Foreword & Preface
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7月 12

ComputationalBiologyPrimers合集

./NatureBiotechnology:
Analyzing ’omics data using hierarchical models
How does DNA sequence motif discovery work
How does eukaryotic gene prediction work
How does gene expression clustering work
How does multiple testing correction work
How do RNA folding algorithms work
How do shotgun proteomics algorithms identify proteins
How to map billions of short reads onto genomes
How to visually interpret biological data using networks
Inference in Bayesian networks
Maximizing power in association studies
SNP imputation in association studies
Understanding genome browsing
What are artificial neural networks
What are decision trees
What are DNA sequence motifs
What is a hidden Markov model
What is a support vector machine
What is Bayesian statistics
What is dynamic programming
What is flux balance analysis
What is principal component analysis
What is the expectation maximization algorithm
Where did the BLOSUM62 alignment score matrix come from……【阅读全文】