Abstract
The complexity of scientific workflows for analyzing biological data creates a number of challenges for current workflow and provenance systems. This complexity is due in part to the nature of scientific data (e.g., heterogeneous, nested data collections) and the programming constructs required for automation (e.g., nested workflows, looping, pipeline parallelism). We present an extended version of the Kepler scientific workflow system to address these challenges, tailored for the systematics community. Our system combines novel approaches for representing scientific data, modeling and automating complex analyses, and recording and browsing associated provenance information.
Cite
CITATION STYLE
Bowers, S., McPhillips, T., Riddle, S., Anand, M. K., & Ludäscher, B. (2008). Kepler/pPOD: Scientific workflow and provenance support for assembling the tree of life. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5272, pp. 70–77). Springer Verlag. https://doi.org/10.1007/978-3-540-89965-5_9
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
