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APE: A Command-Line Tool and API for Automated Workflow Composition
Automated workflow composition is bound to take the work with scientific workflows to the next level. On top of today’s comprehensive eScience infrastructure, it enables the automated generation of possible workflows for a given specification. However, functionality for automated workflow compositio...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304703/ http://dx.doi.org/10.1007/978-3-030-50436-6_34 |
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author | Kasalica, Vedran Lamprecht, Anna-Lena |
author_facet | Kasalica, Vedran Lamprecht, Anna-Lena |
author_sort | Kasalica, Vedran |
collection | PubMed |
description | Automated workflow composition is bound to take the work with scientific workflows to the next level. On top of today’s comprehensive eScience infrastructure, it enables the automated generation of possible workflows for a given specification. However, functionality for automated workflow composition tends to be integrated with one of the many available workflow management systems, and is thus difficult or impossible to apply in other environments. Therefore we have developed APE (the Automated Pipeline Explorer) as a command-line tool and API for automated composition of scientific workflows. APE is easily configured to a new application domain by providing it with a domain ontology and semantically annotated tools. It can then be used to synthesize purpose-specific workflows based on a specification of the available workflow inputs, desired outputs and possibly additional constraints. The workflows can further be transformed into executable implementations and/or exported into standard workflow formats. In this paper we describe APE v1.0 and discuss lessons learned from applications in bioinformatics and geosciences. |
format | Online Article Text |
id | pubmed-7304703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73047032020-06-22 APE: A Command-Line Tool and API for Automated Workflow Composition Kasalica, Vedran Lamprecht, Anna-Lena Computational Science – ICCS 2020 Article Automated workflow composition is bound to take the work with scientific workflows to the next level. On top of today’s comprehensive eScience infrastructure, it enables the automated generation of possible workflows for a given specification. However, functionality for automated workflow composition tends to be integrated with one of the many available workflow management systems, and is thus difficult or impossible to apply in other environments. Therefore we have developed APE (the Automated Pipeline Explorer) as a command-line tool and API for automated composition of scientific workflows. APE is easily configured to a new application domain by providing it with a domain ontology and semantically annotated tools. It can then be used to synthesize purpose-specific workflows based on a specification of the available workflow inputs, desired outputs and possibly additional constraints. The workflows can further be transformed into executable implementations and/or exported into standard workflow formats. In this paper we describe APE v1.0 and discuss lessons learned from applications in bioinformatics and geosciences. 2020-05-25 /pmc/articles/PMC7304703/ http://dx.doi.org/10.1007/978-3-030-50436-6_34 Text en © The Author(s) 2020 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
spellingShingle | Article Kasalica, Vedran Lamprecht, Anna-Lena APE: A Command-Line Tool and API for Automated Workflow Composition |
title | APE: A Command-Line Tool and API for Automated Workflow Composition |
title_full | APE: A Command-Line Tool and API for Automated Workflow Composition |
title_fullStr | APE: A Command-Line Tool and API for Automated Workflow Composition |
title_full_unstemmed | APE: A Command-Line Tool and API for Automated Workflow Composition |
title_short | APE: A Command-Line Tool and API for Automated Workflow Composition |
title_sort | ape: a command-line tool and api for automated workflow composition |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304703/ http://dx.doi.org/10.1007/978-3-030-50436-6_34 |
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