Download presentation
Presentation is loading. Please wait.
Published byMargery Sparks Modified over 9 years ago
1
4.1 (Part 1) Flow diagram for gene expression profiling
2
4.1 (Part 2) Flow diagram for gene expression profiling
3
4.2 Common experimental designs for microarray analysis
4
4.3 (Part 1) Principle of cDNA microarrays
5
4.3 (Part 2) Principle of cDNA microarrays
6
4.4 Types of printing pins
7
4.5 Principle of oligonucleotide arrays
8
4.6 (Part 1) Construction of oligonucleotide arrays
9
4.6 (Part 2) Construction of oligonucleotide arrays
10
4.7 (Part 1) Three methods for labeling cDNA
11
4.7 (Part 2) Three methods for labeling cDNA
12
4.8 Microarray images produced with a pin-and-loop arrayer
13
4.9 Simple normalization of microarray data
14
4.10 Analysis of variance (ANOVA) for gene expression data
15
4.11 Volcano plot of significance against effect
16
4.12 Hierarchical clustering of gene expression
17
4.13 Profile plots
18
4.14 (Part 1) Chromatin immunoprecipitation and regulatory pathways
19
4.14 (Part 2) Chromatin immunoprecipitation and regulatory pathways
20
4.15 (Part 1) Principle of SAGE
21
4.15 (Part 2) Principle of SAGE
22
4.16 (Part 1) SAGE analysis of yeast and colorectal cancer transcriptomes
23
4.16 (Part 2) SAGE analysis of yeast and colorectal cancer transcriptomes
24
4.17 (Part 1) Microbead-based gene expression profiling
25
4.17 (Part 2) Microbead-based gene expression profiling
26
4.17 (Part 3) Microbead-based gene expression profiling
27
4.18 (Part 1) Quantitative RT-PCR
28
4.18 (Part 2) Quantitative RT-PCR
29
4.18 (Part 3) Quantitative RT-PCR
30
4.19 (Part 1) Microarray analysis of sporulation in budding yeast
31
4.19 (Part 2) Microarray analysis of sporulation in budding yeast
32
4.20 Gene expression changes in yeast
33
4.21 The compendium approach
34
4.22 (Part 1) Molecular pharmacology of cancers
35
4.22 (Part 2) Molecular pharmacology of cancers
36
4.22 (Part 3) Molecular pharmacology of cancers
37
4.22 (Part 4) Molecular pharmacology of cancers
38
4.22 (Part 5) Molecular pharmacology of cancers
39
4.23 (Part 1) Microarray analysis and the etiology of Sandhoff and Tay-Sachs diseases
40
4.23 (Part 2) Microarray analysis and the etiology of Sandhoff and Tay-Sachs diseases
41
4.23 (Part 3) Microarray analysis and the etiology of Sandhoff and Tay-Sachs diseases
42
4.24 (Part 1) Developmental changes in gene expression in Drosophila
43
4.24 (Part 2) Developmental changes in gene expression in Drosophila
44
4.25 (Part 1) Divergence in gene expression in primates
45
4.25 (Part 2) Divergence in gene expression in primates
46
4.25 (Part 3) Divergence in gene expression in primates
47
4.26 (Part 1) Expression quantitative trait loci (eQTL)
48
4.26 (Part 2) Expression quantitative trait loci (eQTL)
49
4.27 Flow diagram of microarray database queries
50
Box 4.1 Microarray Image Processing
51
Box 4.2 Basic Statistical Methods
52
Exercise 4.1 (Part 1) Design a Microarray Experiment
53
Exercise 4.1 (Part 2) Design a Microarray Experiment
54
Exercise 4.1 (Part 3) Design a Microarray Experiment
55
Exercise 4.1 (Part 4) Design a Microarray Experiment
56
Exercise 4.2 (Part 1) Calculate which genes are differentially expressed
57
Exercise 4.2 (Part 2) Calculate which genes are differentially expressed
58
Exercise 4.3 Evaluate the significance of the following gene expression differences
59
Exercise 4.4 Perform a cluster analysis on gene expression profiles
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.