ArchAlign: coordinate-free chromatin alignment reveals novel architectures
William K M Lai1, Michael J Buck
1Department of Biochemistry and the Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, 701 Ellicott St, Buffalo, New York 14203, USA. wklai2@buffalo.edu
Genome Biology
|December 25, 2010
Summary
We developed ArchAlign, a new algorithm to identify shared chromatin structural patterns. This tool aids in characterizing genomic functional elements and exploring chromatin architecture at CTCF binding sites.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Identifying and characterizing genomic functional elements is crucial for understanding gene regulation.
- High-resolution chromatin structural datasets provide insights into genome organization.
Purpose of the Study:
- To develop a novel algorithm, ArchAlign, for identifying shared chromatin structural patterns.
- To facilitate the identification and characterization of genomic functional elements.
- To explore chromatin structural architecture at specific genomic locations, such as CTCF binding sites.
Main Methods:
- Developed the ArchAlign algorithm for chromatin architecture alignment.
- Utilized high-resolution chromatin structural datasets from next-generation sequencing and tiled microarray approaches.
- Applied ArchAlign to user-defined regions of interest, including well-characterized functional elements and CTCF binding sites in the human genome.
Main Results:
- ArchAlign successfully identifies shared chromatin structural patterns.
- The algorithm was validated using well-characterized functional elements.
- Exploration of chromatin structure at human CTCF binding sites was performed using ArchAlign.
Conclusions:
- ArchAlign is an effective tool for identifying and characterizing genomic functional elements based on chromatin structure.
- The algorithm provides a method for exploring chromatin architecture in specific genomic regions.
- ArchAlign is freely available to the scientific community.
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