Matrix2png: a utility for visualizing matrix data

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Relating protein pharmacology by ligand chemistry (2007, methodology): “Supplementary Figure 6 online shows a heat map of the 193 × 193 PSI-BLAST matrix, created with matrix2pn”
Evaluation of genomic high-throughput sequencing data generated on Illumina HiSeq and Genome Analyzer systems (2011, methodology): “Heatmaps were generated with Matrix2png [2] similar to Cox et al.”
Coexpression analysis of human genes across many microarray data sets. (2004, methodology): “We applied hierarchical clustering to the rows and columns of the interaction matrix using " Xcluster " (http://genetics.stanford.edu/∼sherlock/cluster.html) using the default parameters, combined with visualization using matrix2png (Pavlidis and Noble 2003).”
Simple decision rules for classifying human cancers from gene expression profiles (2005, result): “These results conﬁrm the ﬁndings in Geman et al. (2004) that TSP-family classiﬁers can generate accurate and interpretable decision rules for classifying microarray data.”
SolexaQA: At-a-glance quality assessment of Illumina second-generation sequencing data (2010, methodology): “SolexaQA is primarily written in Perl, but integrates graphical capability from the statistics package R [7] and the heatmap visualizer matrix2png [8].”