Online Computational Biology Textbook

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1. Introduction and Basic Molecular Biology(Camille Bonneaud)
2. Basic Tools
1. Basic HTML (Y Liu)
2. Basic Python
3. Basic R
4. Basic Bioconductor
5. Statistical Inference
3. Literature Retrieval and Mining (J Zhang)
4. Sequence Alignment
1. Pairwise Sequence Alignment (Iqbal & ? )
2. Substitution Matrices and Fast Sequence Similarity Search Algorithms (Bartz)
3. Multiple Sequence Alignment (Gutman)
4. Hidden Markov Model ( ? & ? )
5. Genome Sequencing and Assembly
6. Phylogenetic trees
5. Gene Expression
1. Gene Expression Microarrays and Experiments (N Lin)
2. Microarray Normalization and Gene Expression Index (Uttamapinant ? )
3. Differential Gene Expression and Hypothesis Testing (H Wang & ? )
4. Microarray Clustering Methods and Gene Ontology (Mulvey & ? )
5. Microarray Dimension Reduction Techniques ( ? & ? )
6. Microarray Classification Methods (I Sun & J Yip)
6. Transcriptional Regulation
1. Transcription Regulation and Transcription Factor Motif Finding (T Schmidt ? )
2. System biology of transcription regulation (D Lin & A Cheng)
3. Expectation Maximization and Gibbs Sampling ( ? & ? )
4. Comparitive Genomics (D He)
5. Transcription Regluatory Network
6. ChIP-on-chip and Genome Tiling Microarrays (Geiler & Rogers)
7. Post Transcriptional Regulation
1. RNA Folding
2. siRNA and miRNA (Alissa Zhang & Cenik)
8. Proteomics
1. Protein Structure Prediction (J Yang & C Chi)
2. Mass Spectrophotometry and Protein Interaction Networks (P Chen & ? )
9. Single Nucleotide Polymorphism
1. SNPs and Association Studies (R Ng & ? Godinez)
2. Haplotype Inference and SNP Chip (Lee & L Li)

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