RNA-seq data analysis I

W5. Preprocessing & Mapping

1. Quality control using FastQC

2. Read trimming using Sickle

3. Read alignment using STAR

(homework w5)

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RNA-seq data analysis IV

W8. Functional Enrichment

1. Gene ontology analysis

2. Gene set enrichment analysis

3. Deconvolution immune profile

Programming

W2. Linux commands

W3. Python basics

RNA-seq data analysis II

W6. Transcriptome assembly

1. Understanding BAM format

2. Normal and reference-guided assembly using StringTie

(homework w6)

Advanced data analysis I

W12. Batch correction

1. Batch assessment

2. Batch normalization

3. Heatmap visualization (extra)

Archives

2021 TF (Bo-Hyun You)

Week 5

Week 6

Week 7

Week 8

Dynamic programming

Gene expression

RNA-seq data analysis III

W7. Quantification &

Differential Expression

1. Normalization of count data

2. Quantification using FeatureCounts

3. DEG analysis using DESeq2

(homework w7)

Advanced data analysis II

W13. Data clustering

1. Non-negative matrix factorization

2. k-means clustering