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Summary: The HeatMapViewer is a BioJS component that lays-out and renders two-dimensional (2D) plots or heat maps that are ideally suited to visualize matrix formatted data in biology such as for the display of microarray experiments or the outcome of mutational studies and the study of SNP-like sequence variants.
If we think of the data in a matrix format, the data set for each network (Fig. 1) consists of a matrix with 100 rows and 100 columns.
Pearson test of the TTO and SG utilities was done according to a matrix format with the data on the five A&SQ domains.
Although most statistical analyses require a horizontal data array, the more flexible data model for storage and manipulation is the long, or vertical, data matrix format.
The automated PathoProT pipeline will organize the information about the strains and identified virulence genes into a data matrix format and then hierarchically cluster these virulence genes and strains for visualization in a heat map using R scripts.
To investigate this further we clustered the samples based on the similarity of expression across genes and then visualized the data in a matrix format.
Gitools has a built-in link that sends a 'find locus' command to IGV, whereas IGV exports data into a matrix format and commands Gitools to load it.
The data are presented in matrix format in which columns represent individual gene and rows represent each tissue.
The data are presented in matrix format in which columns represent individual tissue and rows represent each gene.
Data file #1 uses a simple matrix format in which samples represent columns and rows represent genomic features.
The data from Khambata-Ford et al were extracted in series matrix format from Gene Expression Omnibus (GEO) record GSE5851[ 12].
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