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Big Data and Big Data Analytics Event Hosted at Marshall University

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Over the last 20 years, molecular biology and genomics have undergone a spectacular transition, in large part driven by changes in technology and use of bioinformatics.   Therefore, through the utilization of our next-generation sequencing capabilities and the development of a campus-wide bioinformatics capability, enabled by a rapidly improving cyberinfrastructure, Marshall University will be better able to contribute to the generation of genome-wide information. The purpose of the Forum is to review current next generation sequencing and bioinformatics research activity at Marshall and discuss what needs to be done to develop our bioinformatics capability to the level needed.

 

Agenda:

Session A: Applications of Sequencing and Bioinformatics
Chair: Jim Denvir
Presentations:

  1. F. Robin O’Keefe, Ph.D. Dept. of Biology. “Sequencing and Phylogenetics”
  2. Wendy Trzyna, Ph.D. Dept. of Biology. “De Novo Sequencing”
  3. Don Primerano, Pd.D. Dept. Biochemistry and Microbiology, School of Medicine. “Whole Exome Approaches to Mendelian Disease”.

Session B: Epigenetics.
Chair: Philippe Georgel
Presentations:

  1. Travis Salisbury, Ph.D. School of Medicine. “Defining the Aryl Hydrocarbon Receptor Cistrome to Gain New Insights into Adipocyte-breast Cancer Cell Interactions”.
  2. Vincent Sollars, Ph.D. Biochemistry and Microbiology, School of Medicine. “Title to be announced”.
  3. Johannes Fahrmann, Ph.D. Student Biochemistry and Microbiology, School of Medicine. “Omega 3maternal Diet Alters MicroRNA Expression in First Generation Mouse Pups”.

Session C: Cyberinfrastructure for Bioinformatics.
Chair: Venkat Gudivada
Presentations:

  1. Jack Smith, Ph.D, Center for Environmental, Geotechnical and Applied Sciences.  “Introduction to the Cyberinfrastructure at Marshall University”.
  2. Jim Denvir, Ph.D. Dept. Biochemistry and Microbiology, School of Medicine. “R and Bioconductor for Sequence Analysis of Genomic Data”.
  3. Hyoli Han, Ph.D. and Venkat Gudivada, Ph.D. Div. Computer Science, “Overview of Data Mining and Machine Learning Using R and Weka”.

Panel discussion: What is next?

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