Steps in scientific workflows often generate collections of results, causing the data flowing through workflows to become increasingly nested. Because conventional workflow compone...
Timothy M. McPhillips, Shawn Bowers, Bertram Lud&a...
There has been an information explosion in fields of science such as high energy physics, astronomy, environmental sciences and biology. There is a critical need for automated sys...
Srinath Shankar, Ameet Kini, David J. DeWitt, Jeff...
Abstract. Data integration plays a major role in modern Life Sciences research primarily because required resources are geographically distributed across continents and experts dep...
The tools used to analyze scientific data are often distinct from those used to archive, retrieve, and query data. A scientific workflow environment, however, allows one to seamles...
Chad Berkley, Shawn Bowers, Matthew B. Jones, Bert...
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...