Combine multi-experiment genomic data
integrative-analysisskillsetup L3★35
ammawla/encode-toolkit ↗What it does
Combine multi-omics datasets (genomics, epigenomics, transcriptomics)
Best for
Creating a coherent multi-layer view of gene regulation by integrating ENCODE with expression, variation, and protein data
Inputs
- · ENCODE peaks
- · RNA-seq TPM
- · variant calls
- · protein data
Outputs
- · unified dataset
- · cross-omics correlations
- · integrated report
Requires
- · R/Python integrative frameworks
- · bedtools
- · GenomicRanges
Preconditions
Matched sample metadata across all omics layers
Failure modes
- · Batch effects across platforms
- · Missing sample overlap
- · Integration assumptions violated
Trust signals
- · Multi-omics coordination
- · Cross-platform normalization