Taverna, reloaded

Paolo Missier; Stian Soiland-Reyes; Stuart Owen; Wei Tan; Alexandra Nenadic; Ian Dunlop; Alan Williams; Tom Oinn; Carole Goble

doi:10.1007/978-3-642-13818-8_33

Taverna, reloaded

Paolo Missier^*, Stian Soiland-Reyes, Stuart Owen, Wei Tan, Alexandra Nenadic, Ian Dunlop, Alan Williams, Tom Oinn, Carole Goble

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The Taverna workflow management system is an open source project with a history of widespread adoption within multiple experimental science communities, and a long-term ambition of effectively supporting the evolving need of those communities for complex, data-intensive, service-based experimental pipelines. This short paper describes how the recently overhauled technical architecture of Taverna addresses issues of efficiency, scalability, and extensibility, and presents performance results based on a collection of synthetic workflows, as well as a concrete case study involving a production workflow in the area of cancer research.

Original language	English
Title of host publication	Scientific and Statistical Database Management - 22nd International Conference, SSDBM 2010, Proceedings
Pages	471-481
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-13818-8_33
Publication status	Published - 2010
Event	22nd International Conference on Scientific and Statistical Database Management, SSDBM 2010 - Heidelberg, Germany Duration: 30 Jun 2010 → 2 Jul 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6187 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Scientific and Statistical Database Management, SSDBM 2010
Country/Territory	Germany
City	Heidelberg
Period	30/06/10 → 2/07/10

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-13818-8_33

Cite this

Missier, P., Soiland-Reyes, S., Owen, S., Tan, W., Nenadic, A., Dunlop, I., Williams, A., Oinn, T., & Goble, C. (2010). Taverna, reloaded. In Scientific and Statistical Database Management - 22nd International Conference, SSDBM 2010, Proceedings (pp. 471-481). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6187 LNCS). https://doi.org/10.1007/978-3-642-13818-8_33

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abstract = "The Taverna workflow management system is an open source project with a history of widespread adoption within multiple experimental science communities, and a long-term ambition of effectively supporting the evolving need of those communities for complex, data-intensive, service-based experimental pipelines. This short paper describes how the recently overhauled technical architecture of Taverna addresses issues of efficiency, scalability, and extensibility, and presents performance results based on a collection of synthetic workflows, as well as a concrete case study involving a production workflow in the area of cancer research.",

author = "Paolo Missier and Stian Soiland-Reyes and Stuart Owen and Wei Tan and Alexandra Nenadic and Ian Dunlop and Alan Williams and Tom Oinn and Carole Goble",

year = "2010",

doi = "10.1007/978-3-642-13818-8_33",

language = "English",

isbn = "3642138179",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "471--481",

booktitle = "Scientific and Statistical Database Management - 22nd International Conference, SSDBM 2010, Proceedings",

note = "22nd International Conference on Scientific and Statistical Database Management, SSDBM 2010 ; Conference date: 30-06-2010 Through 02-07-2010",

}

Missier, P, Soiland-Reyes, S, Owen, S, Tan, W, Nenadic, A, Dunlop, I, Williams, A, Oinn, T & Goble, C 2010, Taverna, reloaded. in Scientific and Statistical Database Management - 22nd International Conference, SSDBM 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6187 LNCS, pp. 471-481, 22nd International Conference on Scientific and Statistical Database Management, SSDBM 2010, Heidelberg, Germany, 30/06/10. https://doi.org/10.1007/978-3-642-13818-8_33

Taverna, reloaded. / Missier, Paolo; Soiland-Reyes, Stian; Owen, Stuart et al.
Scientific and Statistical Database Management - 22nd International Conference, SSDBM 2010, Proceedings. 2010. p. 471-481 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6187 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Taverna, reloaded

AU - Missier, Paolo

AU - Soiland-Reyes, Stian

AU - Owen, Stuart

AU - Tan, Wei

AU - Nenadic, Alexandra

AU - Dunlop, Ian

AU - Williams, Alan

AU - Oinn, Tom

AU - Goble, Carole

PY - 2010

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N2 - The Taverna workflow management system is an open source project with a history of widespread adoption within multiple experimental science communities, and a long-term ambition of effectively supporting the evolving need of those communities for complex, data-intensive, service-based experimental pipelines. This short paper describes how the recently overhauled technical architecture of Taverna addresses issues of efficiency, scalability, and extensibility, and presents performance results based on a collection of synthetic workflows, as well as a concrete case study involving a production workflow in the area of cancer research.

AB - The Taverna workflow management system is an open source project with a history of widespread adoption within multiple experimental science communities, and a long-term ambition of effectively supporting the evolving need of those communities for complex, data-intensive, service-based experimental pipelines. This short paper describes how the recently overhauled technical architecture of Taverna addresses issues of efficiency, scalability, and extensibility, and presents performance results based on a collection of synthetic workflows, as well as a concrete case study involving a production workflow in the area of cancer research.

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DO - 10.1007/978-3-642-13818-8_33

M3 - Conference contribution

AN - SCOPUS:77955037242

SN - 3642138179

SN - 9783642138171

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 471

EP - 481

BT - Scientific and Statistical Database Management - 22nd International Conference, SSDBM 2010, Proceedings

T2 - 22nd International Conference on Scientific and Statistical Database Management, SSDBM 2010

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ER -

Missier P, Soiland-Reyes S, Owen S, Tan W, Nenadic A, Dunlop I et al. Taverna, reloaded. In Scientific and Statistical Database Management - 22nd International Conference, SSDBM 2010, Proceedings. 2010. p. 471-481. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-13818-8_33

Taverna, reloaded

Abstract

Publication series

Conference

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Cite this