Applied-Bioinformatics
Student course material for the Applied Bioinformatics course at Scripps Research for fall 2018.
Prerequisites
The only requirement is that you have access to a latop running Windows 10 or macOS, and that you complete:
- installation/configuration instructions
- installation/RNAseq_configuration
- installation/ChIP-seq_configuration
Course materials
Module 1: Bash, Juypter and git
1.1 Course intro:
1.2 Bash basics
1.3 Jupyter basics
1.4 File manipulation
1.5 Redirection and pipes
1.6 awk
1.7 git
1.8 looping
Yolanda's handouts
Module 2: R
2.1 R objects
2.2 R data operations
2.3 and 2.4 Flowchart & review
2.5 Exploratory Data Analysis and Plotting
Module 3: RNA-seq
3.0 RNA-seq overview
3.1 Raw data
3.2 SAM files and gene counting
3.3 Counts-based expression analysis
3.4 Preparing data for DESeq2
3.5 Gene expression analysis with DESeq2
3.6 Differential expression analysis
3.7 Enrichment analysis
Module 4: ChIP-seq
4.1 ChIP-seq basics
4.2 ChIP-seq filter and alignment
- slides
- notebook
- Practice 4.2 sample solutions
- Practice 4.3 sample solutions
- Practice 4.4 sample solutions
- Data
4.3 Customized filter and MACS2 peak calling
- slides
- notebook
- Q&A2
- Practice 4.5 sample solutions
- Practice 4.6 sample solutions
- Data
- Windows Data download
# Ubuntu terminal Option #1
scp your_email_name@login00.scripps.edu:/gpfs/home/hdiao/bam/target_file Your_directory
# Ubuntu terminal Option #2
# click the links and download to your `Downloads` directory, then copy using this command template below:
cp /mnt/c/Users/<username>/Downloads/SRR3001750_srt_dupr.chr10.bam .