Difference between revisions of "File:Fig3 Hatakeyama BMCBioinformatics2016 17.gif"

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==Summary==
{{Information
|Description='''Figure 3.''' The screenshots of DataSet list and a part of a result generated by the edgeR SUSHI application. '''a.''' The DataSets are listed with a tree view (top) and table view (bottom). In the tree view, each node indicates a DataSet and the parental node indicates the input DataSet for the child node. '''b.''' Visualizations form the differential expression result the edgeR SUSHI application. We show a scatter plot with significantly differential expressed genes red-colored (left) and clustered heatmap (right). All calculated data is downloadable from this 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 15:16, 6 July 2016

Summary

Description

Figure 3. The screenshots of DataSet list and a part of a result generated by the edgeR SUSHI application. a. The DataSets are listed with a tree view (top) and table view (bottom). In the tree view, each node indicates a DataSet and the parental node indicates the input DataSet for the child node. b. Visualizations form the differential expression result the edgeR SUSHI application. We show a scatter plot with significantly differential expressed genes red-colored (left) and clustered heatmap (right). All calculated data is downloadable from this 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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Creative Commons Attribution 4.0 International

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