annotate README @ 11:ddcc33ff3205 draft

planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit 4428e3252d54c8a8e0e5d85e8eaaeb13e9b21de7
author eschen42
date Wed, 05 Sep 2018 22:31:21 -0400
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23f9fad4edfc planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit bd26542b811de06c1a877337a2840a9f899c2b94
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1 # w4mcorcov_galaxy_wrapper
23f9fad4edfc planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit bd26542b811de06c1a877337a2840a9f899c2b94
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23f9fad4edfc planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit bd26542b811de06c1a877337a2840a9f899c2b94
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3 Planemo-based galaxy-tool-wrapper to wrap a SIMCA® OPLS-DA® S-PLOT® "work-alike" tool.
23f9fad4edfc planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit bd26542b811de06c1a877337a2840a9f899c2b94
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4 This tool plots the correlation of each feature with the OPLS-DA projection of multivariate data for two classes of data against the covariance of the same.
23f9fad4edfc planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit bd26542b811de06c1a877337a2840a9f899c2b94
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23f9fad4edfc planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit bd26542b811de06c1a877337a2840a9f899c2b94
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6 The original plot which this tool emulates is described in:
23f9fad4edfc planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit bd26542b811de06c1a877337a2840a9f899c2b94
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7 > Wiklund, Susanne and Johansson, Erik and Sjöström, Lina and Mellerowicz, Ewa J. and Edlund, Ulf and Shockcor, John P. and Gottfries, Johan and Moritz, Thomas and Trygg, Johan (2008). Visualization of GC/TOF-MS-Based Metabolomics Data for Identification of Biochemically Interesting Compounds Using OPLS Class Models. In Analytical Chemistry, 80 (1), pp. 115–122. doi:10.1021/ac0713510