Person

Meg Staton

Associate Professor | Entomology and Plant Pathology
Courses
Below are courses taught during the current or past three academic years. Consult Timetable for the most current listing of courses and instructor(s).

EPP 531 - Special Problems in Entomology, Nematology and Plant Pathology
1 - 3 credit hours

Comprehensive individual study of current problems.

Repeatability: May be repeated. Maximum 9 hours.

Other Instructors: Gerhold Jr, Richard William | Nowicki, Marcin | Gwinn, Kimberly D | Kelly, Heather Marie

EPP 575 - Introduction to RNASeq
1 credit hour(s)

Computational analysis of RNASeq data. Students will learn the basics of using a command line interface on UT’s Linux-based computational resources to analyze RNASeq data. Basic steps such as quality assessment, read mapping and differential gene expression statistical analysis will be covered.

Contact Hour Distribution: One-week summer workshop.

EPP 604 - Advanced Topics in Plant Pathology
1 - 3 credit hours

Biological control, disease diagnosis and management, epidemiology, fungal plant pathogens, integrated pest management, molecular plant-microbe interactions, plant pathogenesis, plant pathogenic bacteria, soil- and seed-borne pathogens, and virology.

Repeatability: May be repeated. Maximum 12 hours.
Registration Restriction(s): Minimum student level - graduate.

Other Instructors: Olukolu, Bode Adebowale | Hadziabdic-Guerry, Denita | Nowicki, Marcin

EPP 622 - Bioinformatics Applications
3 credit hour(s)

Fundamental bioinformatics concepts, principles and techniques with a focus on the application of bioinformatics to problems in agriculture. Laboratory practical will be taught within a LINUX computational environment where students will gain basic skills in bash and python scripting and construction open source-software based workflows to analyze genomic data.

Contact Hour Distribution: 2 hours lecture and 2 hours lab-.
(DE) Prerequisite(s): Life Sciences 520 or introductory genetics course.
Registration Restriction(s): minimum student level – graduate.

Picture of Meg Staton
154 Plant Biotechnology Building
2505 E J Chapman Drive
Knoxville, TN 37996-4560
Education and Training
  • Doctorate, Plant Sciences, General, Clemson University, 2007
  • BS, Computer Science, Clemson University, 2003

Meg Staton

Associate Professor | Entomology and Plant Pathology
Picture of Meg Staton image
154 Plant Biotechnology Building
2505 E J Chapman Drive
Knoxville, TN 37996-4560
Education and Training
  • Doctorate, Plant Sciences, General, Clemson University, 2007
  • BS, Computer Science, Clemson University, 2003
Courses
Below are courses taught during the current or past three academic years. Consult Timetable for the most current listing of courses and instructor(s).

EPP 531 - Special Problems in Entomology, Nematology and Plant Pathology
1 - 3 credit hours

Comprehensive individual study of current problems.

Repeatability: May be repeated. Maximum 9 hours.

Other Instructors: Gerhold Jr, Richard William | Nowicki, Marcin | Gwinn, Kimberly D | Kelly, Heather Marie

EPP 575 - Introduction to RNASeq
1 credit hour(s)

Computational analysis of RNASeq data. Students will learn the basics of using a command line interface on UT’s Linux-based computational resources to analyze RNASeq data. Basic steps such as quality assessment, read mapping and differential gene expression statistical analysis will be covered.

Contact Hour Distribution: One-week summer workshop.

EPP 604 - Advanced Topics in Plant Pathology
1 - 3 credit hours

Biological control, disease diagnosis and management, epidemiology, fungal plant pathogens, integrated pest management, molecular plant-microbe interactions, plant pathogenesis, plant pathogenic bacteria, soil- and seed-borne pathogens, and virology.

Repeatability: May be repeated. Maximum 12 hours.
Registration Restriction(s): Minimum student level - graduate.

Other Instructors: Olukolu, Bode Adebowale | Hadziabdic-Guerry, Denita | Nowicki, Marcin

EPP 622 - Bioinformatics Applications
3 credit hour(s)

Fundamental bioinformatics concepts, principles and techniques with a focus on the application of bioinformatics to problems in agriculture. Laboratory practical will be taught within a LINUX computational environment where students will gain basic skills in bash and python scripting and construction open source-software based workflows to analyze genomic data.

Contact Hour Distribution: 2 hours lecture and 2 hours lab-.
(DE) Prerequisite(s): Life Sciences 520 or introductory genetics course.
Registration Restriction(s): minimum student level – graduate.