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Method Article
Jens Allmer
jLab
Corresponding Author
License:
This work is licensed under a CC BY-NC 3.0 License. Read Full License
izMiR is an data analysis workflow that can be used for the detection of pre-miRNAs. The overall system includes two important workflows
1) Training of machine learning classifiers with suitable examples
2) Application of the learned model for detection of new pre-miRNAs.
By using the training workflow it is possible to generate models that can be used on new data to predict whether the given data have potential miRNA hairpins. It is also possible to use prediction workflow directly with the models and input data provided by us. In the latter case compatible features need to be calculated for analysis. These calculations can be done using two webservers. One provided by us (http://www.jlab.iyte.edu.tr/software/izmir) and one by Yones et al. (http://www.fich.unl.edu.ar/sinc/web-demo/mirnafe-full/).
Keywords
MicroRNA detection, computational, ab initio, machine learning
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Posted 15 Jul, 2016
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An open repository of community-contributed protocols sponsored by Nature Research.
Learn more about Protocol Exchange
Method Article
Jens Allmer
jLab
Corresponding Author
Version History
CURRENT STATUS: Posted
Version 1
Posted 15 Jul, 2016
Community comments: 3
Metrics
Comments: 0
HTML Views: ...
License:
This work is licensed under a CC BY-NC 3.0 License. Read Full License
izMiR is an data analysis workflow that can be used for the detection of pre-miRNAs. The overall system includes two important workflows
1) Training of machine learning classifiers with suitable examples
2) Application of the learned model for detection of new pre-miRNAs.
By using the training workflow it is possible to generate models that can be used on new data to predict whether the given data have potential miRNA hairpins. It is also possible to use prediction workflow directly with the models and input data provided by us. In the latter case compatible features need to be calculated for analysis. These calculations can be done using two webservers. One provided by us (http://www.jlab.iyte.edu.tr/software/izmir) and one by Yones et al. (http://www.fich.unl.edu.ar/sinc/web-demo/mirnafe-full/).
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
none declared
Loading...