Evidence map›Paper›PMID 26640691›Full record

ArticleGigaScience2015

Enhanced reproducibility of SADI web service workflows with Galaxy and Docker.

Mikel Egaña Aranguren, Mark D Wilkinson

Abstract read
In one paragraph

Article in GigaScience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Mikel Egaña ArangurenGenomic Resources, Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of Basque Country (UPV/EHU), Sarriena auzoa z/g, Leioa - Bilbo, 48940 Spain ; Eurohelp Consulting, 48011 Maximo Aguirre 18, Bilbo, Spain.
Mark D WilkinsonBiological Informatics, Centre for Plant Biotechnology and Genomics (CBGP), Technical University of Madrid (UPM), Campus of Montegancedo, Pozuelo de Alarcón, 28223 Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSemantic 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.

findingsThis 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.

conclusionsThe 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.

Indexed as

Information Storage and RetrievalSoftwareComputational BiologyInformation DisseminationReproducibility of ResultsDockerGalaxyRDFReproducibilitySADISemantic WebWeb serviceWorkflow

Identifiers

PMID26640691
PMCPMC4669641

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.