Using Galaxy to perform large-scale interactive data analyses.
Innovations in biomedical research technologies continue to provide experimental biologists with novel and increasingly large genomic and high-throughput data resources to be analyzed. As creating and obtaining data has become easier, the key decision faced by many researchers is a practical one: where and how should an analysis be performed? Datasets are large and analysis tool set-up and use is riddled with complexities outside of the scope of core research activities. The authors believe that Galaxy provides a powerful solution that simplifies data acquisition and analysis in an intuitive Web application, granting all researchers access to key informatics tools previously only available to computational specialists working in Unix-based environments. We will demonstrate through a series of biomedically relevant protocols how Galaxy specifically brings together (1) data retrieval from public and private sources, for example, UCSC's Eukaryote and Microbial Genome Browsers, (2) custom tools (wrapped Unix functions, format standardization/conversions, interval operations), and 3rd-party analysis tools.
Penn State University, University Park, Pennsylvania.
Jennifer
J
Hillman-Jackson
Emory University, Atlanta, Georgia.
Dave
D
Clements
Penn State University, University Park, Pennsylvania.
Daniel
D
Blankenberg
Emory University, Atlanta, Georgia.
James
J
Taylor
Penn State University, University Park, Pennsylvania.
Anton
A
Nekrutenko
Penn State University, University Park, Pennsylvania.|Emory University, Atlanta, Georgia.
Galaxy
G
Team
D030541:Databases, Genetic; D016678:Genome; D023281:Genomics / Q000379:methods; D020407:Internet; D012984:Software; D013223:Statistics as Topic / Q000379:methods*