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Email: it@huph.edu.vn
Email: it@huph.edu.vn
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Data Science Courses
BioInformatics
Differential Gene Expression Analysis
0 students
Last updated
Feb 2024
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Course content
Sections:
8
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Activities:
0
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Resources:
64
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Section 1
Introduction to the course
001-Welcome to the course
002-Course structure aims and objective
003-Your first bioinformatic challenge
004-Quiz 1 file an explanation
006-Quiz 1 walkthrough undertaking a BLAST search
Section 2
Biology for differential gene expression analysis
007-Biology for differential gene expression analysis introduction
008-What is this thing called bioinformatics
010-Overview of gene expression
011-Translation of genetic code theory
012-Translation of genetic code practice
014-Open Reading Frame translation walk through
016-Gene structure and splicing
018-Biology for differential gene expression analysis section summary
Section 3
Sequencing, PCR and microarrays - technical foundation
019-Lab techniques for differential gene expression analysis intro
020-Sequencing-CGxO
021-PCR
022-Sanger sequencing
023-Next generation sequencing
025-Microarrays
026-Lab techniques for differential gene expression analysis section summary
Section 4
Experimental, statistical and analytical foundation plus quantitative PCR
027-First things first RStudio installation
028-Differential gene expression fundamentals
029-Sample preparation for differential gene expression analysis
030-Measuring gene expression with qPCR
031-qPCR quantification of gene expression
032-qPCR quiz part 1 intro
034-qPCR quiz walkthrough part 1
035-Experimental considerations for differential gene expression
036-Statistical considerations for differential gene expression
037-Spreadsheet qPCR analysis preserving variability of expression
042-Part 2 Q1 Walkthrough
045-Part 2 Q2 walkthrough
048-Part 2 Q3 walkthrough-Qr88
051-Part 2 Q4 walkthrough
042-Part 2 Q1 Walkthrough (copy) (copy) (copy) (copy)
Section 5
A deep dive into RNAseq and analysis methods
052-Intro to RNAseq
053-Analytical advantages of RNAseq and overview of RNAseq analysis pipeline-MCZT
055-RNAseq analysis pipeline-YHao
56-FastQC assessing the quality of sequencing library
059-FastQC exercise walkthrough
060-Alignment TUXEDO-0esW
061-Alignment Rsubread
065-Strict and less strict alignment walkthrough
066-Strict and less strict alignment quiz walkthrough
067-Transcriptome assembly TUXEDO
068-Installing Cuff apps from TUXEDO toolkit
071-Cuffcompare quiz walkthrough
072-Read counts and FPKM RPKM
074-Read counting TUXEDO
076-RPKM normalization R
080-Differential gene expression TUXEDO
081-General Linear Models GLMs for differential gene expression analysis part 1
082-GLMs for differential gene expression analysis part 2
083-GLMs for differential gene expression analysis part 3
084-GLMs for differential gene expression analysis part 4
086-Design matrices for GLMs
088-Differential expression R s GLM limma edgeR
091-Differential expression quiz walkthrough
092-Differential expression RankProd-KUX4
095-RankProd Quiz walkthrough
Section 6
Pathway analysis for hypothesis generation
096-Pathway analysis ORA GSEA approaches
101-Using pathway analysis in hypothesis free studies
Section 7
Gene expression visualization
102-Visualization of gene expression data
Section 8
Your capstone project
107-Capstone project
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Differential Gene Expression Analysis
Course modified date:
9 Feb 2024
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