Assesing several plants with an overview

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Description

This function uses information from the FSA files read from storing.inds function and creates an overlapping plot to assess graphically the peaks of several plants in certain channel in order to create a panel for the scoring functions score.easy. The function contains several defaults in most of the arguments, please check arguments but in general you only need the first 4 arguments to create a panel.

Usage

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overview2(my.inds, cols = 1, ladder, xlim = NULL, ylim = NULL, 
        n.inds = NULL, channel.ladder = NULL, ploidy = 2, 
        method="iter2", init.thresh=NULL, ladd.init.thresh=200, 
        lwd=.25, warn=TRUE, min.panel=100, suggested=TRUE, 
        env = parent.frame()) 

Arguments

my.inds

List with the channels information from the individuals specified, usually coming from the storing.inds function output

cols

The channel/color you wish to analyze, usually 1 is blue, 2 is green, 3 is yellow, 4 is red and so on

ladder

A vector containing the expected weights for the ladder peaks that will be found the using the find.ladder function

xlim

A vector containing the base pair interval where the plot should be drawn

ylim

A vector containing the intensity interval where the plot should be drawn

n.inds

Vector specifying the plants to be scored

channel.ladder

A scalar value indicating in which channel or color the ladder was read

ploidy

A scalar value indicating the ploidy of the organism to be scored

method

An argument indicating one of the 2 methods available; "cor" makes all possible combination of peaks and searches exhaustive correlations to find the right peaks corresponsding to the expected DNA weights, or "ci" constructing confidence intervals to look for peaks meeting the conditions specified in the previous arguments

init.thresh

An initial value of intensity to detect peaks. We recommend not to deal to much with unless you have highly controlled dna concentrations in your experiment

ladd.init.thresh

A value of intensity to detect peaks in the internal use of the find.ladder function. We recommend not to deal to much with it unless you identified special situations with your ladder

lwd

The width of the line

warn

A TRUE/FALSE value indicating if warnings should be provided when detecting the ladder

min.panel

A scalar value indicating which peak values should be ignored when creating a panel. If 'xlim' values are specified the 'min.panel' value is ignored and instead the panel peaks provided by the program are based in the region where you are zooming in.

suggested

a TRUE/FALSE value statement declaring if you want the program to return suggested peaks for your panel. The default is TRUE but can be anoying if the program draws too many peaks.

env

this is used to detect the environment of the user and load the result in the same environment.

Details

No major details.

Value

If rarguments are correct the function returns a list containing

$plot

Returns a plot joining the channel for the plants specified for the color desired and the peaks found by the function using the parameters specified

$nana

Returns a vector with the names of the plants specified in the function

References

We have spent valuable time developing this package, please cite it in your publication:

Covarrubias-Pazaran G, Diaz-Garcia L, Schlautman B, Salazar W, Zalapa J. Fragman: An R package for fragment analysis. 2016. BMC Genetics 17(62):1-8.

Robert J. Henry. 2013. Molecular Markers in Plants. Wiley-Blackwell. ISBN 978-0-470-95951-0.

Ben Hui Liu. 1998. Statistical Genomics. CRC Press LLC. ISBN 0-8493-3166-8.

Examples

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data(my.plants)
my.plants <- my.plants[1]
my.ladder <- c(50, 75, 100, 125, 129, 150, 175, 200, 225, 250, 275, 300, 325, 350, 375)
overview2(my.inds=my.plants, cols = 1, ladder=my.ladder, lwd=1)
# now use:
# my.panel <- locator(type="p", pch=20, col="red")$x
# to click over the peaks and get the sizes in base pairs
# when you are done make sure you press the "Esc" key, do not push the stop button