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2018 STAT115 Lecture 1.1. Introduction to Computational Biology
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STAT115 2018
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- 1 2018 STAT115 Lecture 1.1. Introduction to Computational Biology
- 2 2018 STAT115 Lecture 1.2. Introduction to Computational Biology
- 3 2018 STAT115 Lecture 1.3. Class Information
- 4 2018 STAT115 Lect 1.4. Microarrays
- 5 2018 STAT115 Lect 3.1. Differential Expression
- 6 2018 STAT115 Lect 3.2. LIMMA
- 7 2018 STAT115 Lect 3.3. Multiple Hypothesis Testing
- 8 2018 STAT115 Lect 3.4. False Discovery Rate
- 9 2018 STAT115 Lect 4.1. Hierarchical Clustering
- 10 2018 STAT115 Lect 4.2. K-means clustering
- 11 2018 STAT115 Lect 4.3. Batch Effect Removal
- 12 2018 STAT115 Lect 4.4. Gene Ontology
- 13 2018 STAT115 Lect 5.1. GO and GSEA
- 14 2018 STAT115 Lect 5.2. Unsupervised Learning
- 15 2018 STAT115 Lect 5.3. Principal Component Analysis
- 16 2018 STAT115 Lect 5.4. Supervise Learning
- 17 2018 STAT115 Lect 6.1. Supervised Learning
- 18 2018 STAT115 Lect 6.2. High Throughput Sequencing
- 19 2018 STAT115 Lect 6.3. FASTQC
- 20 2018 STAT115 Lect 6.4. Burrows-Wheeler Read Alignment
- 21 2018 STAT115 Lect 7.1. SAM and BED Files
- 22 2018 STAT115 Lect 7.2. RNA-seq Experimental Design
- 23 2018 STAT115 Lect 7.3. RNA-seq Alignment and QC
- 24 2018 STAT115 Lect 7.4. RNA-seq Quantification
- 25 2018 STAT115 Lect 7.5. Differential RNA-seq Analyses
- 26 2018 STAT115 Lect 8.1. RNA-seq Isoform Inference
- 27 2018 STAT115 Lect 8.2. RNA-seq Alternative Splicing
- 28 2018 STAT115 Lect 8.3. Single Cell RNA-seq
- 29 2018 STAT115 Lect 9.1. scRNA-seq t-SNE
- 30 2018 STAT115 Lect 9.2. scRNA-seq Data Analysis
- 31 2018 STAT115 Lect 9.3. Transcription Factor Motifs
- 32 2018 STAT115 Lect 10.1. Motif Finding Expectation Maximization
- 33 2018 STAT115 Lect 10.2. Motif Finding Gibbs Sampler
- 34 2018 STAT115 Lect 10.3. Motif Finding Motif Scores
- 35 2018 STAT115 Lect 10.4. Motif Finding Summary
- 36 2018 STAT115 Lect 11.1. ChIP-seq
- 37 2018 STAT115 Lect 11.2. ChIP-seq QC and Peak Calling
- 38 2018 STAT115 Lect 11.3. ChIP-seq Target Genes
- 39 2018 STAT115 Lect 11.4. ChIP-seq Integration with Expression
- 40 2018 STAT115 Lect 12.1. Motif Finding in ChIP-seq
- 41 2018 STAT115 Lect 12.2. TF Function from ChIP-seq
- 42 2018 STAT115 Lect 12.3. Cistrome
- 43 2018 STAT115 Lect 13.1. Epigenetics
- 44 2018 STAT115 Lect 13.2. DNA Methylation
- 45 2018 STAT115 Lect 13.3. DNA Methylation 2
- 46 2018 STAT115 Lect 13.4. Nucleosome Positioning
- 47 2018 STAT115 Lect 15.1. Histone Mark
- 48 2018 STAT115 Lect 15.2. Chromatin Dynamics
- 49 2018 STAT115 Lect 15.3. Chromatin Accessibility
- 50 2018 STAT115 Lect 16.1. HiC
- 51 2018 STAT115 Lect 16.2. Topologically Associated Domains
- 52 2018 STAT115 Lect 16.3. Loop Extrusion Model
- 53 2018 STAT115 Lect 16.4. Regulatory Network
- 54 2018 STAT115 Lect 17.1. SNP and LD
- 55 2018 STAT115 Lect 17.2. Association Studies
- 56 2018 STAT115 Lect 17.3. Biases in GWAS
- 57 2018 STAT115 Lect 17.4 Q&A
- 58 2018 STAT115 Lect 18.1. GWAS Interpret From Literature
- 59 2018 STAT115 Lect 18.2. GWAS Interpret From Expression
- 60 2018 STAT115 Lect 18.3. GWAS Interpret From Epigenetics
- 61 2018 STAT115 Lect 18.4. cis- vs trans-eQTL
- 62 2018 STAT115 Lect 19.1. Tumor Sequencing
- 63 2018 STAT115 Lect 19.2. Survival Analyses
- 64 2018 STAT115 Lect 19.3. Tumor Mutation Calling
- 65 2018 STAT115 Lect 19.4. Tumor Mutation Patterns
- 66 2018 STAT115 Lect 20.1. Targeted Therapy and Cell Line Drug Screens
- 67 2018 STAT115 Lect 20.2. shRNA and CRISPR Screens
- 68 2018 STAT115 Lect 20.3. CRISPR Screen Data Analyses
- 69 2018 STAT115 Lect 20.4. Drug Resistance
- 70 2018 STAT115 Lect 21.1. Cancer Immunotherapy
- 71 2018 STAT115 Lect 21.2. Immune Infiltration
- 72 2018 STAT115 Lect 21.3. Immune Repertoires
- 73 2018 STAT115 Lect 21.4. Immune Regulators
- 74 2018 STAT115 Lect 22.1. TCGA Epigenetic Profiling
- 75 2018 STAT115 Lect 22.2. Epigenetic Drugs 5AZA
- 76 2018 STAT115 Lect 22.3. Targeted Epigenetic Therapy
- 77 2018 STAT115 Lect 23.1. Deep Learning
- 78 2018 STAT115 Lect 23.2. Deep Learning Continued
- 79 2018 STAT115 Lect 24.1. Final Review
- 80 2018 STAT115 Lect 24.2. Levels of Bioinformatics
- 81 2018 STAT115 Lect 24.3. Final Exam Example Questions
- 82 2018 STAT115 Lect 24.4. Final Exam Example Questions 2
