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annotate README @ 4:d3bb34e764fe draft

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planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit 7a0b65df47977b9c7a62de7dc1587e5fb3e5abc1
author eschen42
date Mon, 15 Jan 2018 14:08:59 -0500
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50a07adddfbd planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit 52e588e19fe93d83d221710bb75559c5700ba637
eschen42
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1 # w4mcorcov_galaxy_wrapper
50a07adddfbd planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit 52e588e19fe93d83d221710bb75559c5700ba637
eschen42
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50a07adddfbd planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit 52e588e19fe93d83d221710bb75559c5700ba637
eschen42
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3 Planemo-based galaxy-tool-wrapper to wrap a SIMCA® OPLS-DA® S-PLOT® "work-alike" tool.
50a07adddfbd planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit 52e588e19fe93d83d221710bb75559c5700ba637
eschen42
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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.
50a07adddfbd planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit 52e588e19fe93d83d221710bb75559c5700ba637
eschen42
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50a07adddfbd planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit 52e588e19fe93d83d221710bb75559c5700ba637
eschen42
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6 The original plot which this tool emulates is described in:
50a07adddfbd planemo upload for repository https://github.com/HegemanLab/w4mcorcov_galaxy_wrapper/tree/master commit 52e588e19fe93d83d221710bb75559c5700ba637
eschen42
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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