The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
myExperiment: a repository and social network for the sharing of bioinformatics workflows
Open accessAbstract
myExperiment (http://www.myexperiment.org) is an online research environment that supports the social sharing of bioinformatics workflows. These workflows are procedures consisting of a series of computational tasks using web services, which may be performed on data from its retrieval, integration and analysis, to the visualization of the results. As a public repository of workflows, myExperiment allows anybody to discover those that are relevant to their research, which can then be reused and repurposed to their specific requirements. Conversely, developers can submit their workflows to myExperiment and enable them to be shared in a secure manner. Since its release in 2007, myExperiment currently has over 3500 registered users and contains more than 1000 workflows. The social aspect to the sharing of these workflows is facilitated by registered users forming virtual communities bound together by a common interest or research project. Contributors of workflows can build their reputation within these communities by receiving feedback and credit from individuals who reuse their work. Further documentation about myExperiment including its REST web service is available from http://wiki.myexperiment.org. Feedback and requests for support can be sent to bugs@myexperiment.org.
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Cites
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Self-citationKepler: An Extensible System for Design and Execution of Scientific Workflows
Altintas, I., Berkley, C., Jaeger, E., Jones, M., Ludäscher, B., & Mock, S. (2004) · Cited by 745
The design and realisation of the Virtual Research Environment for social sharing of workflows
De Roure, D., Goble, C., & Stevens, R. (2009) · Future Generation Computer Systems · doi:10.1016/j.future.2008.06.010 · Cited by 432
Self-citationBioMOBY: An open source biological web services proposal
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Accessible Reproducible Research
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Web Services at the European Bioinformatics Institute
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KBase: The United States Department of Energy Systems Biology Knowledgebase
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Ten Simple Rules for Reproducible Computational Research
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Integrated omics: tools, advances and future approaches
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Machine learning algorithms for social media analysis: A survey
T.K., B., Annavarapu, C. S. R., & Bablani, A. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100395 · Cited by 276
Wilson, J. P., Butler, K., Gao, S., Hu, Y., Li, W., & Wright, D. J. (2021) · Annals of the American Association of Geographers · doi:10.1080/24694452.2020.1806026 · Cited by 54
Metadata
- Authors
- Goble, C. A., Bhagat, J., Aleksejevs, S., Cruickshank, D., Michaelides, D., Newman, D., Borkum, M., Bechhofer, S., Roos, M., Li, P., & De Roure, D.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-05-25
- Volume
- 38
- Issue
- suppl_2
- Pages
- W677-W682
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2140157849
- Cited by
- 299
- References
- 17
- FWCI
- 77.81
- Type
- journal article
- Language
- en
- Open access
- gold
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- Goble, C. A., Bhagat, J., Aleksejevs, S., Cruickshank, D., Michaelides, D., Newman, D., Borkum, M., Bechhofer, S., Roos, M., Li, P., & De Roure, D. (2010). myExperiment: a repository and social network for the sharing of bioinformatics workflows. Nucleic Acids Research. https://doi.org/10.1093/nar/gkq429
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.