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Kepler/pPOD: Scientific Workflow and Provenance Support for Assembling the Tree of Life

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Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 5272))

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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.

This work supported in part through NSF grants IIS-0630033, OCI-0722079, IIS-0612326, DBI-0533368, and DOE grant DE-FC02-01ER25486.

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Author information

Authors and Affiliations

  1. UC Davis Genome Center, University of California, Davis, USA

    Shawn Bowers, Timothy McPhillips, Sean Riddle & Bertram Ludäscher

  2. Department of Computer Science, University of California, Davis, USA

    Manish Kumar Anand & Bertram Ludäscher

Authors
  1. Shawn Bowers

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  2. Timothy McPhillips

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  3. Sean Riddle

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  4. Manish Kumar Anand

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  5. Bertram Ludäscher

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Editor information

Editors and Affiliations

  1. School of Computing, 50 S. Central Campus Rm. 3190, UT 84112, Salt Lake City, USA

    Juliana Freire

  2. SCI Institute & School of Computing, University of Utah, UT 84112, Salt Lake City, USA

    David Koop

  3. School of Electronics and Computer Science, University of Southampton, SO17 1BJ, Southhampton, UK

    Luc Moreau

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© 2008 Springer-Verlag Berlin Heidelberg

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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: Freire, J., Koop, D., Moreau, L. (eds) Provenance and Annotation of Data and Processes. IPAW 2008. Lecture Notes in Computer Science, vol 5272. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89965-5_9

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