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【计算系统生物学】【生肉】【MIT】：MIT 7.91J Foundations of Computational and Systems Biology

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2019-07-28 11:31:51
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https://www.youtube.com/playlist?list=PLUl4u3cNGP63uK-oWiLgO7LLJV6ZCWXac View the complete course: http://ocw.mit.edu/7-91JS14 Instructor: Christopher Burge, David Gifford, Ernest Fraenkel
生物学
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视频选集
（1/22）
1. Introduction to Computational and Systems Biology
01:06:11
2. Local Alignment (BLAST) and Statistics
01:16:48
3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM)
01:20:01
4. Comparative Genomic Analysis of Gene Regulation
01:22:38
5. Library Complexity and Short Read Alignment (Mapping)
01:20:06
6. Genome Assembly
01:08:14
7. ChIP-seq Analysis; DNA-protein Interactions
01:21:28
8. RNA-sequence Analysis_ Expression, Isoforms
01:20:28
9. Modeling and Discovery of Sequence Motifs
01:22:06
10. Markov and Hidden Markov Models of Genomic and Protein Features
01:18:26
11. RNA Secondary Structure; Biological Functions and Predictions
01:22:40
12. Introduction to Protein Structure; Structure Comparison and Classification
01:05:51
13. Predicting Protein Structure
01:04:22
14. Predicting Protein Interactions
01:11:38
15. Gene Regulatory Networks
01:19:19
16. Protein Interaction Networks
01:20:50
17. Logic Modeling of Cell Signaling Networks
01:14:15
18. Analysis of Chromatin Structure
01:20:30
19. Discovering Quantitative Trait Loci (QTLs)
01:22:13
20. Human Genetics, SNPs, and Genome Wide Associate Studies
01:17:57
21. Synthetic Biology_ From Parts to Modules to Therapeutic Systems
01:21:46
22. Causality, Natural Computing, and Engineering Genomes
51:47

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