EpiSAFARI
EpiValley: Epigenetic Valley Detection and Functional Annotation
EpiValley detects valley patterns in genome-wide epigenetic signal profiles to identify cis-regulatory elements, including enhancers and insulators, and characterize regulatory landscapes.
Key Features:
- Sensitive Detection: Identifies valleys within histone modification and DNA methylation profiles to localize cis-regulatory elements.
- Novel Smoothing Method: Applies signal smoothing to reduce noise from sparse signals, mappability bias, and nucleotide content variation, improving valley detection accuracy.
- Performance and Accuracy: Detects histone modification valleys with high cross-species conservation, enriched transcription factor binding, and elevated nascent transcription activity.
- Functional Insights: Identifies clustered histone valleys at promoters of developmentally associated genes and correlates differential valleys with cell line-specific DNase signals.
- DNA Methylation Valleys: Detects conserved DNA methylation valleys enriched for transcription factors associated with chromatin structure.
Scientific Applications:
- Regulatory Element Annotation: Annotates functional genomic elements by systematically identifying epigenetic valleys overlooked by conventional pipelines, supporting studies of gene regulation, developmental biology, and epigenetic modification.
Methodology:
Processes dense genome-wide epigenetic signal profiles using a computational framework that mitigates technical biases and sparsity to precisely detect and annotate regulatory valleys.
Topics
Details
- Programming Languages:
- C++
- Added:
- 11/14/2019
- Last Updated:
- 11/24/2024
Operations
Publications
Harmanci A, Harmanci AS, Swaminathan J, Gopalakrishnan V. EpiSAFARI: sensitive detection of valleys in epigenetic signals for enhancing annotations of functional elements. Bioinformatics. 2019;36(4):1014-1021. doi:10.1093/bioinformatics/btz702. PMID:31501853. PMCID:PMC7703766.