The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update
Open accessAbstract
High-throughput data production technologies, particularly 'next-generation' DNA sequencing, have ushered in widespread and disruptive changes to biomedical research. Making sense of the large datasets produced by these technologies requires sophisticated statistical and computational methods, as well as substantial computational power. This has led to an acute crisis in life sciences, as researchers without informatics training attempt to perform computation-dependent analyses. Since 2005, the Galaxy project has worked to address this problem by providing a framework that makes advanced computational tools usable by non experts. Galaxy seeks to make data-intensive research more accessible, transparent and reproducible by providing a Web-based environment in which users can perform computational analyses and have all of the details automatically tracked for later inspection, publication, or reuse. In this report we highlight recently added features enabling biomedical analyses on a large scale.
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Cites
Does Gamification Work? -- A Literature Review of Empirical Studies on Gamification
Hamari, J., Koivisto, J., & Sarsa, H. (2014) · 2014 47th Hawaii International Conference on System Sciences · doi:10.1109/hicss.2014.377 · Cited by 5,201
Cited by
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update
Afgan, E., Baker, D., Batut, B., van den Beek, M., Bouvier, D., Čech, M., Chilton, J., Clements, D., Coraor, N., Grüning, B. A., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky379 · Cited by 3,662
Self-citationExpansion of the Gene Ontology knowledgebase and resources
The Gene Ontology Consortium (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1108 · Cited by 1,850
Bioconda: sustainable and comprehensive software distribution for the life sciences
The Bioconda Team, Grüning, B., Dale, R., Sjödin, A., Chapman, B. A., Rowe, J., Tomkins-Tinch, C. H., Valieris, R., & Köster, J. (2018) · Nature Methods · doi:10.1038/s41592-018-0046-7 · Cited by 1,641
Self-citationWhat does research reproducibility mean?
Goodman, S. N., Fanelli, D., & Ioannidis, J. P. A. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf5027 · Cited by 1,293
Marques, F. Z., Nelson, E., Chu, P.-Y., Horlock, D., Fiedler, A., Ziemann, M., Tan, J. K., Kuruppu, S., Rajapakse, N. W., El-Osta, A., et al. (2017) · Circulation · doi:10.1161/circulationaha.116.024545 · Cited by 1,065
Metadata
- Authors
- Afgan, E., Baker, D., van den Beek, M., Blankenberg, D., Bouvier, D., Čech, M., Chilton, J., Clements, D., Coraor, N., Eberhard, C., Grüning, B., Guerler, A., Hillman-Jackson, J., Von Kuster, G., Rasche, E., Soranzo, N., Turaga, N., Taylor, J., Nekrutenko, A., & Goecks, J.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-05-02
- Volume
- 44
- Issue
- W1
- Pages
- W3-W10
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2346143774
- Cited by
- 2,148
- References
- 1
- FWCI
- 585.27
- Type
- journal article
- Language
- en
- Open access
- gold
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- Afgan, E., Baker, D., van den Beek, M., Blankenberg, D., Bouvier, D., Čech, M., Chilton, J., Clements, D., Coraor, N., Eberhard, C., Grüning, B., Guerler, A., Hillman-Jackson, J., Von Kuster, G., Rasche, E., Soranzo, N., Turaga, N., Taylor, J., Nekrutenko, A., & Goecks, J. (2016). The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. https://doi.org/10.1093/nar/gkw343
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
