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 & Jirapinyo)
4. Microarray Clustering Methods and Gene Ontology (Mulvey & Gingold)
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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