A wavelet approach to detect enriched regions and explore epigenomic landscapes

Nha Nguyen, An Vo, Kyoung Jae Won

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Epigenetic landscapes represent how cells regulate gene activity. To understand their effect on gene regulation, it is important to detect their occupancy in the genome. Unlike transcription factors whose binding regions are limited to narrow regions, histone modification marks are enriched over broader areas. The stochastic characteristics unique to each mark make it hard to detect their enrichment. Classically, a predefined window has been used to detect their enrichment. However, these approaches heavily rely on the predetermined parameters. Also, the window-based approaches cannot handle the enrichment of multiple marks. We propose a novel algorithm, called SeqW, to detect enrichment of multiple histone modification marks. SeqW applies a zooming approach to detect a broadly enriched domain. The zooming approach helps domain detection by increasing signal-to-noise ratio. The borders of the domains are detected by studying the characteristics of signals in the wavelet domain. We show that SeqW outperformed previous predictors in detecting broad peaks. Also, we applied SeqW in studying spatial combinations of histone modification patterns.

Original languageEnglish (US)
Pages (from-to)846-854
Number of pages9
JournalJournal of computational biology : a journal of computational molecular cell biology
Issue number11
StatePublished - Nov 1 2014
Externally publishedYes


  • enriched region
  • histone modification
  • wavelet
  • zero-crossing

ASJC Scopus subject areas

  • Modeling and Simulation
  • Molecular Biology
  • Genetics
  • Computational Mathematics
  • Computational Theory and Mathematics


Dive into the research topics of 'A wavelet approach to detect enriched regions and explore epigenomic landscapes'. Together they form a unique fingerprint.

Cite this