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Using gap5 (Bonfield and Whitwham 2010) from the Staden package, we conducted a detailed visual review of variant calls based on the BW2952 reference (for the version number used, see supplementary table S1, Supplementary Material online).
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Using version 0.6 6 of the 'analogue' package [63] for R, we conducted an analysis of modern analogs [35] for resulting model predictions.
We used principle component analysis (PCA) together with k-nearest neighbor (k-NN) clustering analysis to cluster samples and highlight the chemicals potentially responsible for these differences using the 'stats' package included with R. Firstly, we conducted PCA on the corrected chromatograms and the results plotted using the first 2 principal components (PCs).
To demonstrate its applicability, we have implemented the approach with an open-source remote visualization package and conducted experiments with spatiotemporal datasets produced by a regional dust storm simulation model.
Optimization and validation of thermal management for the thermal test package is conducted.
The intervention package was conducted for 32 months from October 2011 to May 2014.
The TMM normalization method that we used as the default in the edgeR package was probably not implemented in the package when they conducted their evaluation.
We used the software package MAXQDA2007 to conduct these qualitative analyses.
We used the DESeq package to conduct a negative binomial test across all contigs with average coverage of greater than five reads and standard deviation less than the mean.
The numerical analysis using the finite element package ABAQUS is conducted to model both the old and new girder.
An intervention study on early implementation of this package has been conducted.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com