Computational Biology Research Camp for High School Students
RNA biomarkers in Ebola
Overview: This camp provides computational methods in the context of disease research. After a brief overview of the emerging field of medical genomics, the camp will cover the use of computational tools to analyze RNA expression data of Ebola infected samples. Given the rapid advances in sequencing technologies and the advent of massive datasets, turning data into knowledge is increasingly essential. We will show how to use publicly available tools to understand statistically analyzed data in the context of Ebola. Our premise is that the Human Genome Project will soon become your own genome quest. No prior knowledge is needed beyond introductory biology. Lunch is included in the fee. Bring your laptops.
NOTE: We changed our disease of focus for this camp to Ebola from Parkinson’s disease.
DATE: November 22, 2014 TIME: 9:30 am – 1:30 pm
LOCATION: Room 1690 Bob and Betty Beyster Building, University of Michigan, 2260 Hayward Street, Ann Arbor, MI 48109
FEE: $50
MAIN TARGETS: high school students (young women and men) who are intereted in computer, math, biology, and medicine.
Sponsor: Women In Science and Engineering (WISE)
You will recieve email confirmation of the registration.
Goals
- Expose high school students to the emerging era of medical genomics, when all doctors must be well-acquainted with genetic discoveries, technologies, and applications.
- Support GIDAS (Genes In Diseases And Symptoms) club members for in-depth knowledge in the field.
Tentative Agenda
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Genomics and Medicine Personalized medicine, genomics, and disease Goal: understand shortcomings in current medical practices and the promise of the emerging field of medical genomics |
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Ebola Online resources about diseases – symptoms, treatment, genes, social impact Goal: be able to find scientific information related to disease of interest |
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RNA expression and microarray Understand RNA and microarray technology Goal: be able to define RNA and microarray |
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RNA expression data NCBI tools including GEO Goal: find publicly available high quality data and understand RNA biomarkers |
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Grab lunch |
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Genetic network relating to Ebola STRING and GeneCards Goal: understand multiple gene interactions and their implication in a disease context |

