Application of Biostatistics and Bioinformatics Tools to Identify Putative Transcription Factor- Gene Regulatory Network of Ankylosing Spondylitis and Sarcoidosis
- UNCP Author/Contributor (non-UNCP co-authors, if there are any, appear on document)
- Dr.. Zhixin "Richard" Kang, Associate Professor (Creator)
- Institution
- The University of North Carolina at Pembroke (UNCP )
- Web Site: http://www.uncp.edu/academics/library
Abstract: Transcription factors and corresponding cis-regulatory elements are considered key components in gene regulation. We combined biostatistics and bioinformatics tools to streamline identification of putative transcription factor-gene regulatory networks unique for two immune-mediated diseases, ankylosing spondylitis and sarcoidosis. After identifying differentially expressed genes from microarrays, we employed tightCluster to find tight clusters of potentially co-regulated genes. By subsequently applying bioinformatics tools to search for common cis-regulatory elements, putative transcription factor-gene regulatory networks were found. Recognition of these networks by applying this methodology could pave the way for new insights into disease pathogenesis.
Application of Biostatistics and Bioinformatics Tools to Identify Putative Transcription Factor- Gene Regulatory Network of Ankylosing Spondylitis and Sarcoidosis
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Created on 2/12/2016
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Additional Information
- Publication
- Communications In Statistics: Theory & Methods 38.18 (2009)
- Language: English
- Date: 2009
- Keywords
- Gene Regulation, Biostatistics, Bioinformatics, Ankylosing Spondylitis, Sarcoidosis, Disease Pathogenesis