Meg Staton
Specialization: Bioinformatics & Computational Genomics
I joined the Entomology and Plant Pathology Department in January of 2014. My research program is focused on solving the bioinformatic challenges of building and integrating large plant genomic datasets, especially those from hardwood trees. I also specialize in comparative genomics, particularly transferring and applying the in-depth knowledge base available for commodity crop plants to understand the evolution and genomic structure of woody tree species. My group builds and maintains the Hardwood Genomics Database, which provides tools for scientists to query, download and explore genomic datasets from forest trees. The website is built on Tripal, an open-source, custom, flexible, modular software package for genetic and genomic database construction, co-developed by the Staton lab and with a number of other plant genomic database groups.
My position also encompasses bioinformatics support for UTIA research programs. I am available to consult or participate on projects with faculty, staff and students with genomic or transcriptomic data sets. Please email if you are interested in learning more about these collaborative opportunities.
I analyze high-throughput plant DNA/RNA data, extracting genetic insights into phenotypes and stress responses. I also create public data portals, like the hardwood genomics web portal, for scientists to explore genomic data.
TreeSnap is a mobile app for citizens to report tree info to scientists. App users can identify trees, share photos, and answer health questions- available on iOS/Android. Training is provided through educational events and online platforms.
EPP 622: Bioinformatics Applications equips students with skills for processing large biological datasets and understanding large datasets. These skills will enhance research capabilities in tech-driven biomedical and agricultural industries.
- What are the genomic and transcriptomic factors that control plant phenotype and response to stress?
- How do plants interact with microbes in the soil?
- How can we build cyberinfrastructure that connects biologists with databases of information and computational tools?
2505 E J Chapman Drive
Knoxville, TN 37996-4560
- Doctorate, Plant and Environmental Science, Clemson University, 2007
- BS, Computer Science, Clemson University, 2003
Meg Staton
2505 E J Chapman Drive
Knoxville, TN 37996-4560
- Doctorate, Plant and Environmental Science, Clemson University, 2007
- BS, Computer Science, Clemson University, 2003
I joined the Entomology and Plant Pathology Department in January of 2014. My research program is focused on solving the bioinformatic challenges of building and integrating large plant genomic datasets, especially those from hardwood trees. I also specialize in comparative genomics, particularly transferring and applying the in-depth knowledge base available for commodity crop plants to understand the evolution and genomic structure of woody tree species. My group builds and maintains the Hardwood Genomics Database, which provides tools for scientists to query, download and explore genomic datasets from forest trees. The website is built on Tripal, an open-source, custom, flexible, modular software package for genetic and genomic database construction, co-developed by the Staton lab and with a number of other plant genomic database groups.
My position also encompasses bioinformatics support for UTIA research programs. I am available to consult or participate on projects with faculty, staff and students with genomic or transcriptomic data sets. Please email if you are interested in learning more about these collaborative opportunities.
I analyze high-throughput plant DNA/RNA data, extracting genetic insights into phenotypes and stress responses. I also create public data portals, like the hardwood genomics web portal, for scientists to explore genomic data.
TreeSnap is a mobile app for citizens to report tree info to scientists. App users can identify trees, share photos, and answer health questions- available on iOS/Android. Training is provided through educational events and online platforms.
EPP 622: Bioinformatics Applications equips students with skills for processing large biological datasets and understanding large datasets. These skills will enhance research capabilities in tech-driven biomedical and agricultural industries.
- What are the genomic and transcriptomic factors that control plant phenotype and response to stress?
- How do plants interact with microbes in the soil?
- How can we build cyberinfrastructure that connects biologists with databases of information and computational tools?