Chromatin accessibility · Research internship
Bulk ATAC-seq analysis of mature and memory NK cells
Do mature and memory human NK cells show reproducible differences in chromatin accessibility across public bulk ATAC-seq samples?
View GitHub repository
I designed and implemented the full reproducible analysis workflow for 10 public samples, from quality control and alignment through donor-aware differential testing, motif exploration, genome-browser review, documentation, and a synthetic demonstration.
Completed during a bioinformatics internship at University Medical Center Göttingen using public data.
- 01FastQC quality review and Bowtie2 alignment
- 02SAMtools processing and MACS3 peak calling
- 03Consensus-region counting with featureCounts
- 04Donor-aware differential accessibility with DESeq2
- 05HOMER motif exploration and IGV review
- 59,186 consensus regions passed the analysis filter.
- The workflow connects quality review, alignment, consensus-region counting, donor-aware differential testing, motif exploration, and genome-browser review.
- The repository preserves the complete workflow, statistical results, tutorial material, and a synthetic demo for reproducibility.
- The public cohort was small, limiting statistical power.
- Exploratory motif and browser observations are not causal or mechanistic evidence.
- Public-data analyses remain sensitive to cohort composition, preprocessing choices, and available metadata.
BashRPythonFastQCBowtie2SAMtoolsMACS3featureCountsDESeq2HOMERIGV