Difference between revisions of "File:Fig1 Hatakeyama BMCBioinformatics2016 17.gif"

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==Summary==
{{Information
|Description='''Figure 1.''' The use case of DataSet generation. By running a SUSHI application with an input DataSet and parameters, a new DataSet is generated. Initially (Step 1) only the meta-information, the parameter file, and the job scripts are generated. The actual data files and the log files are generated by executing the static job scripts (Step 2).
|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 21:45, 5 July 2016

Summary

Description

Figure 1. The use case of DataSet generation. By running a SUSHI application with an input DataSet and parameters, a new DataSet is generated. Initially (Step 1) only the meta-information, the parameter file, and the job scripts are generated. The actual data files and the log files are generated by executing the static job scripts (Step 2).

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.

Permission
(Reusing this file)

Creative Commons Attribution 4.0 International

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