Главная
Study mode:
on
1
MCB 182 Lecture 1.1 - Review - Genome content
2
MCB 182 Lecture 1.2 - Review - Gene structure
3
MCB 182 Lecture 1.3 - Review - Transcriptional regulation
4
MCB 182 Lecture 1.4 - Review - Repetitive sequences
5
MCB 182 Lecture 2.1 - DNA sequencing overview
6
MCB 182 Lecture 2.2 - Sanger sequencing
7
MCB 182 Lecture 2.3 - Shotgun sequencing
8
MCB 182 Lecture 2.4 - Illumina SBS sequencing
9
MCB 182 Lecture 2.5 - PacBio, Nanopore sequencing
10
MCB 182 Lecture 3.1 - Genome assembly - Overview
11
MCB 182 Lecture 3.2 - Genome assembly - overlap graphs
12
MCB 182 Lecture 3.3 - Genome assembly - Overlap-layout-consensus assembly
13
MCB 182 Lecture 3.4 - Genome assembly - Scaffolding contigs
14
MCB 182 Lecture 4.1 - Forward genetics
15
MCB 182 Lecture 4.2 - Reverse genetics (siRNA, antisense oligos)
16
MCB 182 Lecture 4.3 - Gene editing (non CRISPR-Cas9)
17
MCB 182 Lecture 4.4 - CRISPR-Cas9 overview
18
MCB 182 Lecture 4.5 - CRISPR-Cas9 practical considerations, applications
19
MCB 182 Lecture 5.1 - CRISPR-Cas9 genome-wide screens
20
MCB 182 Lecture 5.2 - Gene ontology structure
21
MCB 182 Lecture 5.3 - Gene ontology annotations
22
MCB 182 Lecture 5.4 - Gene ontology enrichment analysis
23
MCB 182 Lecture 6.1 - Introduction to sequence alignments
24
MCB 182 Lecture 6.2 - Scoring of sequence alignments
25
MCB 182 Lecture 6.3 - Dotplots for sequence similarity visualization
26
MCB 182 Lecture 7.1 - Overview of TF-DNA interaction assays, EMSA
27
MCB 182 Lecture 7.2 - ChIP-seq
28
MCB 182 Lecture 7.3 - SELEX, Protein Binding Microarrays (PBM), introduction to entropy
29
MCB 182 Lecture 7.4 - Absolute entropy of DNA sequences
30
MCB 182 Lecture 7.5 - Relative entropy
31
MCB 182 Lecture 7.6 - Position weight matrices, sequence logos
32
MCB 182 Lecture 7.7 - PWM applications in scanning the genome for TF binding, other applications
33
MCB 182 Lecture 8.1 - Introduction to Epigenomics
34
MCB 182 Lecture 8.2 - Histone modifications, ChIP-seq, CUT&RUN
35
MCB 182 Lecture 8.3 - DNA methylation
36
MCB 182 Lecture 8.4 - Chromatin accessibility (ATAC-seq)
37
MCB 182 Lecture 8.5 - Chromatin states
38
MCB 182 Lecture 8.6 - Massively parallel reporter assays (MPRA)
39
MCB 182 Lecture 8.7 - ChIP-seq QC metrics
40
MCB 182 Lecture 8.8 - ChIP-seq peak calling, multiple hypothesis testing
41
MCB 182 Lecture 8.9 - Narrow vs broad peaks, IDR
42
MCB 182 Lecture 9.1 - Introduction to RNA-seq, motivation
43
MCB 182 Lecture 9.2 - Bulk RNA-seq fundamentals
44
MCB 182 Lecture 9.3 - RNA-seq read mapping strategies
45
MCB 182 Lecture 9.4 - RNA-seq quantification
46
MCB 182 Lecture 9.5 - RNA-seq differential gene expression, batch effects
47
MCB 182 Lecture 9.6 - ncRNA (miRNA, lncRNA, eRNA)
48
MCB 182 Lecture 9.7 - Introduction to single cell RNA sequencing (scRNA-seq)
49
MCB 182 Lecture 9.8 - Analysis goals of scRNA-seq
50
MCB 182 Lecture 9.9 - scRNA-seq technologies
51
MCB 182 Lecture 9.10 - scRNA-seq experimental design, dropout noise
52
MCB 182 Lecture 9.11 - More on scRNA-seq dropout noise
53
MCB 182 Lecture 9.12 - Introduction to PCA (scRNA-seq)
54
MCB 182 Lecture 9.13 - scRNA-seq applications (trajectory inference, visualization)
55
MCB 182 Lecture 10.1 - Overview of the physical organization of the genome
56
MCB 182 Lecture 10.2 - DamID for mapping protein-DNA interactions
57
MCB 182 Lecture 10.3 - Chromatin conformation capture (3C, 4C) assays
58
MCB 182 Lecture 10.4 - Chromatin conformation capture (Hi-C) assays
59
MCB 182 Lecture 10.5 - Visualization of Hi-C data, bias in the Hi-C assay
60
MCB 182 Lecture 10.6 - Topologically associated domains (TADs), A/B compartments
61
MCB 182 Lecture 10.7 - Chromatin looping, loop extrusion model
62
MCB 182 Lecture 10.8 - Choosing 3C assay, genome assembly with Hi-C
63
MCB 182 Lecture 11.1 - Introduction to molecular interaction networks
64
MCB 182 Lecture 11.2 - Protein-protein interaction (PPI) networks
65
MCB 182 Lecture 11.3 - Genetic interaction (GI) networks
66
MCB 182 Lecture 11.4 - Regulatory interaction networks
67
MCB 182 Lecture 11.5 - Co-expression networks
68
MCB 182 Lecture 11.6 - Centrality measures of node importance in a gene network
69
MCB 182 Lecture 11.7 - Network structural motifs and scale-free property
70
MCB 182 Lecture 11.8 - Modularity of gene networks, guilt by association principles
71
MCB 182 Lecture 12.1 - Introduction to human genetic variation
72
MCB 182 Lecture 12.2 - Mendelian versus complex trait genetics
73
MCB 182 Lecture 12.3 - GWAS for binary phenotypes
74
MCB 182 Lecture 12.4 - Q-Q plots, types of genetic architectures of complex traits
75
MCB 182 Lecture 12.5 - GWAS for continuous phenotypes, effect size versus statistical significance
76
MCB 182 Lecture 12.6 - Confounding factors in GWAS
77
MCB 182 Lecture 12.7 - More on detecting, visualizing + correcting for population structure in GWAS
78
MCB 182 Lecture 12.8 - PCA for analysis of population structure in GWAS, multiple hypothesis testing
79
MCB 182 Lecture 12.9 - Fine-mapping causal variants based on GWAS associations
80
MCB 182 Lecture 12.10 - Epistasis, missing heritability in GWAS
Description:
Dive into a comprehensive 18-hour course on genomics, covering fundamental concepts and advanced techniques in molecular biology and genetics. Begin with a review of genome content, gene structure, transcriptional regulation, and repetitive sequences. Explore various DNA sequencing methods, including Sanger, shotgun, Illumina SBS, PacBio, and Nanopore technologies. Learn about genome assembly techniques, forward and reverse genetics, and gene editing methods, with a focus on CRISPR-Cas9 technology and its applications. Investigate sequence alignments, transcription factor-DNA interactions, and epigenomics, including histone modifications, DNA methylation, and chromatin accessibility. Delve into RNA sequencing techniques, both bulk and single-cell, and their analysis methods. Examine the physical organization of the genome, chromatin conformation capture assays, and molecular interaction networks. Conclude with an exploration of human genetic variation, genome-wide association studies (GWAS), and their implications for understanding complex traits and diseases. Read more

Introduction to Genomics

University of California, Davis
Add to list
0:00 / 0:00