Difference between revisions of "File:Fig2 Hatakeyama BMCBioinformatics2016 17.gif"
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==Summary== | |||
{{Information | |||
|Description='''Figure 2.''' The screenshots of a DataSet and parameter setting view. '''a.''' DataSet view shows basic information of the DataSet, sample information, and the compatible SUSHI applications at the bottom. The SUSHI application is shown as a button and categorized based on the @analysis_category defined in the SUSHI application Ruby code. '''b.''' After selecting a SUSHI application, the parameter setting view lets users modify the analysis parameters. According to the SUSHI application definition, GUI components are auto-generated and placed in the view. | |||
|Source={{cite journal |title=SUSHI: An exquisite recipe for fully documented, reproducible and reusable NGS data analysis |journal=BMC Bioinformatics |author=Hatakeyama, M.; Opitz, L.; Russo, G.; Qi, W.; Schlapbach, R.; Rehrauer, H. |volume=17 |pages=228 |year=2016 |doi=10.1186/s12859-016-1104-8}} | |||
|Author=Hatakeyama, M.; Opitz, L.; Russo, G.; Qi, W.; Schlapbach, R.; Rehrauer, H. | |||
|Date=2016 | |||
|Permission=[http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International] | |||
}} | |||
== Licensing == | == Licensing == | ||
{{cc-by-4.0}} | {{cc-by-4.0}} | ||
Latest revision as of 22:01, 5 July 2016
Summary
| Description |
Figure 2. The screenshots of a DataSet and parameter setting view. a. DataSet view shows basic information of the DataSet, sample information, and the compatible SUSHI applications at the bottom. The SUSHI application is shown as a button and categorized based on the @analysis_category defined in the SUSHI application Ruby code. b. After selecting a SUSHI application, the parameter setting view lets users modify the analysis parameters. According to the SUSHI application definition, GUI components are auto-generated and placed in the view. |
|---|---|
| Source |
Hatakeyama, M.; Opitz, L.; Russo, G.; Qi, W.; Schlapbach, R.; Rehrauer, H. (2016). "SUSHI: An exquisite recipe for fully documented, reproducible and reusable NGS data analysis". BMC Bioinformatics 17: 228. doi:10.1186/s12859-016-1104-8. |
| Date |
2016 |
| Author |
Hatakeyama, M.; Opitz, L.; Russo, G.; Qi, W.; Schlapbach, R.; Rehrauer, H. |
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This work is licensed under the Creative Commons Attribution 4.0 License. |
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