Enhanced reproducibility of SADI web service workflows with Galaxy and Docker

被引:8
作者
Aranguren, Mikel Egana [1 ,3 ]
Wilkinson, Mark D. [2 ]
机构
[1] Univ Basque Country UPV EHU, Fac Sci & Technol, Dept Genet Phys Anthropol & Anim Physiol, Genom Resources, Leioa 48940, Spain
[2] Tech Univ Madrid UPM, Ctr Plant Biotechnol & Genom CBGP, Biol Informat, Pozuelo De Alarcon 28223, Spain
[3] Eurohelp Consulting, Bilbao 48011, Spain
关键词
Semantic Web; RDF; SADI; Web service; Workflow; Galaxy; Docker; Reproducibility; SEMANTIC WEB; LIFE; DESIGN;
D O I
10.1186/s13742-015-0092-3
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Semantic Web technologies have been widely applied in the life sciences, for example by data providers such as OpenLifeData and through web services frameworks such as SADI. The recently reported OpenLifeData2SADI project offers access to the vast OpenLifeData data store through SADI services. Findings: This article describes how to merge data retrieved from OpenLifeData2SADI with other SADI services using the Galaxy bioinformatics analysis platform, thus making this semantic data more amenable to complex analyses. This is demonstrated using a working example, which is made distributable and reproducible through a Docker image that includes SADI tools, along with the data and workflows that constitute the demonstration. Conclusions: The combination of Galaxy and Docker offers a solution for faithfully reproducing and sharing complex data retrieval and analysis workflows based on the SADI Semantic web service design patterns.
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收藏
页数:9
相关论文
共 29 条
[1]  
[Anonymous], GAL SER DAT INT REP
[2]  
[Anonymous], Semantic web
[3]  
Aranguren ME, SADI DOCKER GALAXY
[4]  
Aranguren ME, SADI DOCKER IMAGE
[5]  
Aranguren ME, SADI DOCKER USE CASE
[6]  
Aranguren ME, 2015, GIGASCIENCE DATABASE
[7]  
Aranguren ME, SADI DOCKER GALADY
[8]  
Aranguren ME, UNIPROT IDS SADI OD
[9]   Special issue on Linked Data for Health Care and the Life Sciences [J].
Aranguren, Mikel Egana ;
Fernandez-Breis, Jesualdo Tomas ;
Dumontier, Michel .
SEMANTIC WEB, 2014, 5 (02) :99-100
[10]   Bio2RDF: Towards a mashup to build bioinformatics knowledge systems [J].
Belleau, Francois ;
Nolin, Marc-Alexandre ;
Tourigny, Nicole ;
Rigault, Philippe ;
Morissette, Jean .
JOURNAL OF BIOMEDICAL INFORMATICS, 2008, 41 (05) :706-716