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🖥️🧬 Materials for a Bioinformatics Workshop on ChIP-seq analysis, introduction to R and GenomicRanges.

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Bioinformatic Workshop: Analyzing ChIP-seq data

Files found in this directory:

  • Part 1:
    • Presentation on analyzing ChIP-seq data here
    • 00_workshop_code.sh: Code used in the workshop for analyzing ChIP-seq data.
    • 01_analyzing_chipseq_data.Rmd and 01_analyzing_chipseq_data_solution.html: Notes on ChIP-seq data analysis with links to additional resources.
    • scripts/: Scripts I used to download an process all H3K27ac ChIP-seq data.
  • Part 2:
    • 00_cheatsheet_GRanges.Rmd: Reference card with GenomicRanges functions and methods.
    • 02_introduction_r_rstudio.Rmd and 02_introduction_r_rstudio_solution.html: Notes on R analysis of ChIP-seq data

ChIP-seq workshop guideline

  • Part 1
    • Downloading a dataset from GEO.
    • FASTQ quality control.
    • Alignment.
    • Post-processing.
    • Peak calling.
    • Visualization with IGV.
  • Part 2
    • Introduction to R and RStudio.
    • Dealing with GenomicRanges.
    • Differential ChIP-seq analysis with DESeq2.

Software

Data

GEO Dataset: GSE112221. PMID: 30136421

Samples SRAs:

Sample names Experiment ID
NL1_h3k27ac_h3k27ac_chipseq SRR6880492
Cirr1_h3k27ac_chipseq SRR6880493
HCC1_h3k27ac_chipseq SRR6880494
Cirr3_h3k27ac_chipseq SRR6880495
HCC3_h3k27ac_chipseq SRR6880496
NL1_input_chipseq SRR6880507, SRR6880508
Cirr1_input_chipseq SRR6880509, SRR6880510
HCC1_input_chipseq SRR6880511, SRR6880512
Cirr3_input_chipseq SRR6880513, SRR6880514
HCC3_input_chipseq SRR6880515, SRR6880516

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