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Biography and Research Information
OverviewAI-generated summary
Kevin Chappell's research focuses on the integration of multi-omics data to understand complex biological systems, particularly in the context of triple-negative breast cancer. He has developed computational tools, such as PTMViz, designed for analyzing and visualizing post-translational modification data, specifically focusing on histone modifications. This work aims to elucidate the intricate cross-talk between different post-translational modifications and their regulatory roles.
His scholarship includes publications on integrated multi-omics analyses that identify correlated regulatory features in triple-negative breast cancer. Chappell has a h-index of 5 and has authored 10 publications with 322 citations. His collaborations include researchers from the University of Arkansas for Medical Sciences, such as Charity L. Washam and Stephanie D. Byrum, with whom he has co-authored multiple publications.
Metrics
- h-index: 5
- Publications: 10
- Citations: 329
Selected Publications
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Understanding PTM Cross Talk Through a Visualization Tool, PTMViz (2024)
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Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer (2021)
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PTMViz: a tool for analyzing and visualizing histone post translational modification data (2021)
Collaboration Network
Top Collaborators
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- PTMViz: a tool for analyzing and visualizing histone post translational modification data
- Additional file 1 of PTMViz: a tool for analyzing and visualizing histone post translational modification data
- Understanding PTM Cross Talk Through a Visualization Tool, PTMViz
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- PTMViz: a tool for analyzing and visualizing histone post translational modification data
- Additional file 1 of PTMViz: a tool for analyzing and visualizing histone post translational modification data
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- PTMViz: a tool for analyzing and visualizing histone post translational modification data
- Additional file 1 of PTMViz: a tool for analyzing and visualizing histone post translational modification data
- PTMViz: a tool for analyzing and visualizing histone post translational modification data
- Additional file 1 of PTMViz: a tool for analyzing and visualizing histone post translational modification data
- PTMViz: a tool for analyzing and visualizing histone post translational modification data
- Additional file 1 of PTMViz: a tool for analyzing and visualizing histone post translational modification data
- PTMViz: a tool for analyzing and visualizing histone post translational modification data
- Additional file 1 of PTMViz: a tool for analyzing and visualizing histone post translational modification data
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
- Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
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