 |
Page History
| Excerpt |
|---|
Low-cost, high-throughput DNA sequencing has become widespread and is revolutionizing biomedical research and clinical care alike. In the era of pervasive genomics, the greatest challenge is making sense of large sequencing datasets. The Galaxy platform (http://galaxyproject.org, http://usegalaxy.org) is a popular Web-based workbench that enables accessible, reproducible, and collaborative analysis of genomic data using high-performance computing resources. Galaxy makes it easy for anyone, regardless of programming experience, to analyze large genomic datasets. In collaboration with the Emory Winship Cancer Institute, we have extended Galaxy with tools, workflows, and visual analysis applications to better support integrative analyses of cancer genomes. Using these enhancements, we have analyzed high-throughput sequencing data from the transcriptomes of primary pancreatic adenocarcinoma tumors and a pancreatic cancer cell line. Insights derived from these analyses demonstrate how Galaxy can assist in the interpretation of cancer genomes and transcriptomes. |
BIO:
Jeremy Goecks, Ph.D., is a Postdoctoral Researcher in the Departments of Biology and Math and Computer Science at Emory University. His research agenda centers on using high-throughput biomedical data for disease prediction and treatment, with a focus on cancer and creating interactive computing systems that enable anyone, regardless of their background, to effectively use high-throughput analyses for biomedical applications. Dr. Goecks is a lead member of the Galaxy project. Galaxy is a popular Web-based platform for performing accessible, reproducible, and transparent genomics research.
...
