lmPlot | R Documentation |
LowMACA comprehensive plot is a four layers plot that summarize the entire LowMACA output
lmPlot(object , conservation=NULL, splitLen=NULL)
object |
a LowMACA class object |
conservation |
a numeric value in the range of 0-1 that defines the threshold of trident conservation score to include the specified position. The default value is inherited from the slot entropy, whose default is 0.1 |
splitLen |
An integer, defines after how many amino acids the plot should be split By default this parameter is set to NULL, that mean that the plot is not split. |
The method returns a plot, which is divided into four layers.
The LowMACA object must have been passed through the methods
alignSequences
, getMutations
,
mapMutations
and entropy
.
The four layers of the plot are:
The bar plot visualized by bpAll
The distribution of mutations against the 95% confidence interval superior limit of the null hypothesis (dotted line) with orange bars representing a position with a pvalue <0.05 and a red star for qvalue<0.05
The Trident score distribution
The logo plot representing the consensus sequence
If this plot is used on a LowMACA object with a single protein, the result is formed by three layers only:
The bar plot visualized by bpAll
The Pfam domains structure inside the protein
The distribution of mutations against the 95% confidence interval superior limit of the null hypothesis (dotted line) with orange bars representing a position with a pvalue <0.05 and a red star for qvalue<0.05
NULL
Stefano de Pretis , Giorgio Melloni
alignSequences
getMutations
mapMutations
entropy
bpAll
#Load homeobox example and draw the plot data(lmObj) #Calculate statistics for nullProfile lmObj <- entropy(lmObj) lmPlot(lmObj)
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