Taverna/myGrid: Aligning a workflow system with the life sciences community

Tom Oinn; Peter Li; Douglas B. Kell; Carole Goble; Antoon Goderis; Mark Greenwood; Duncan Hull; Robert Stevens; Daniele Turi; Jun Zhao

doi:10.1007/978-1-84628-757-2_19

Taverna/myGrid: Aligning a workflow system with the life sciences community

Tom Oinn, Peter Li, Douglas B. Kell, Carole Goble, Antoon Goderis, Mark Greenwood, Duncan Hull, Robert Stevens, Daniele Turi, Jun Zhao

Research output: Chapter in Book/Conference proceeding › Chapter

Abstract

Bioinformatics is a discipline that uses computational and mathematical techniques to store, manage, and analyze biological data in order to answer biological questions. Bioinformatics has over 850 databases [154] and numerous tools that work over those databases and local data to produce even more data themselves. In order to perform an analysis, a bioinformatician uses one or more of these resources to gather, filter, and transform data to answer a question. Thus, bioinformatics is an in silico science. © 2007 Springer-Verlag London Limited.

Original language	English
Title of host publication	Workflows for e-Science: Scientific Workflows for Grids\|Workflows for e-Science: Sci. Workflows for Grids
Publisher	Springer Nature
Pages	300-319
Number of pages	19
DOIs	https://doi.org/10.1007/978-1-84628-757-2_19
Publication status	Published - 2007

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Oinn, T., Li, P., Kell, D. B., Goble, C., Goderis, A., Greenwood, M., Hull, D., Stevens, R., Turi, D., & Zhao, J. (2007). Taverna/myGrid: Aligning a workflow system with the life sciences community. In Workflows for e-Science: Scientific Workflows for Grids|Workflows for e-Science: Sci. Workflows for Grids (pp. 300-319). Springer Nature. https://doi.org/10.1007/978-1-84628-757-2_19

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abstract = "Bioinformatics is a discipline that uses computational and mathematical techniques to store, manage, and analyze biological data in order to answer biological questions. Bioinformatics has over 850 databases [154] and numerous tools that work over those databases and local data to produce even more data themselves. In order to perform an analysis, a bioinformatician uses one or more of these resources to gather, filter, and transform data to answer a question. Thus, bioinformatics is an in silico science. {\textcopyright} 2007 Springer-Verlag London Limited.",

author = "Tom Oinn and Peter Li and Kell, {Douglas B.} and Carole Goble and Antoon Goderis and Mark Greenwood and Duncan Hull and Robert Stevens and Daniele Turi and Jun Zhao",

note = "Part III Frameworks and Tools: Workflow Generation, Refinement, and Execution",

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doi = "10.1007/978-1-84628-757-2_19",

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T1 - Taverna/myGrid: Aligning a workflow system with the life sciences community

AU - Oinn, Tom

AU - Li, Peter

AU - Kell, Douglas B.

AU - Goble, Carole

AU - Goderis, Antoon

AU - Greenwood, Mark

AU - Hull, Duncan

AU - Stevens, Robert

AU - Turi, Daniele

AU - Zhao, Jun

N1 - Part III Frameworks and Tools: Workflow Generation, Refinement, and Execution

PY - 2007

Y1 - 2007

N2 - Bioinformatics is a discipline that uses computational and mathematical techniques to store, manage, and analyze biological data in order to answer biological questions. Bioinformatics has over 850 databases [154] and numerous tools that work over those databases and local data to produce even more data themselves. In order to perform an analysis, a bioinformatician uses one or more of these resources to gather, filter, and transform data to answer a question. Thus, bioinformatics is an in silico science. © 2007 Springer-Verlag London Limited.

AB - Bioinformatics is a discipline that uses computational and mathematical techniques to store, manage, and analyze biological data in order to answer biological questions. Bioinformatics has over 850 databases [154] and numerous tools that work over those databases and local data to produce even more data themselves. In order to perform an analysis, a bioinformatician uses one or more of these resources to gather, filter, and transform data to answer a question. Thus, bioinformatics is an in silico science. © 2007 Springer-Verlag London Limited.

U2 - 10.1007/978-1-84628-757-2_19

DO - 10.1007/978-1-84628-757-2_19

M3 - Chapter

SP - 300

EP - 319

BT - Workflows for e-Science: Scientific Workflows for Grids|Workflows for e-Science: Sci. Workflows for Grids

PB - Springer Nature

ER -

Taverna/myGrid: Aligning a workflow system with the life sciences community

Abstract

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