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Quantitative trait loci affecting developmental trajectories can be visualized using software like fGWAS [ 82, 83], which captures genotypic differences underlying phenotypic curves.

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These files can be visualized using Artemis software [ 51].

Also the data can be visualized using StatSport's Apex Software system on a Desktop, Phone or an iPad.

The results of the PCA were visualized using statistical software package R (see Figure  2).

The signal was visualized using Syntech software (GC/EAD 32 version 4.3 software).

Clearcut software [ 41] was used to generate the relaxed neighbour joining tree files, which were visualized using FigTree software [ 42].

Mapped reads were visualized using IGV software.

The network was visualized using STRING12 software (Version 10.0).

The FadR structure was visualized using PyMol software.

ASP probability was visualized using R software (Version 3.2.5, Vienna, Austria, http://www.R-project.org).org

Cells were visualized using IPLab software and digital images captured from a Nikon Eclipse E800 microscope.

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