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One way to visualize the similarity between two protein or nucleic acid sequences is to use a similarity matrix, known as a dot plot. These were introduced by Gibbs and McIntyre in 1970 [1] and are two-dimensional matrices that have the sequences of the proteins being compared along the vertical and horizontal axes.
|color-even= Sets every other dot to a specific color (default red) |color-odd= Sets every odd dot to a specific color (default red) |square= Makes the chart/plot a square (default no) |width= The width of the chart |picture= The picture for the background of the chart, excluding File: or Image: (default Blank.png) |size= The size of the dots ...
Statistical charts and diagrams. Resources: ... Distribution-free control chart; DOE mean plot; Dot plot (bioinformatics) ... Self-similarity matrix; Semi-log plot;
A dot chart or dot plot is a statistical chart consisting of data points plotted on a fairly simple scale, typically using filled in circles. There are two common, yet very different, versions of the dot chart. The first has been used in hand-drawn (pre-computer era) graphs to depict distributions going back to 1884. [1]
Dot plot (statistics) : A dot chart or dot plot is a statistical chart consisting of group of data points plotted on a simple scale. Dot plots are used for continuous, quantitative, univariate data. Data points may be labelled if there are few of them.
Close-up view of dot matrix text produced by a printer Dot matrix pattern woven into fabric in 1858 using punched cards on a Jacquard loom Dot matrix-style skywriting. A dot matrix is a 2-dimensional patterned array, used to represent characters, symbols and images. Most types of modern technology use dot matrices for display of information ...
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An example of a Data Matrix code, encoding the text: "Wikipedia, the free encyclopedia" A Data Matrix is a two-dimensional code consisting of black and white "cells" or dots arranged in either a square or rectangular pattern, also known as a matrix. The information to be encoded can be text or numeric data.