Visualize SNV data through describing each sample's mutation states and clinical info. Genes are ordered by the coverage and samples by the weight of genes mutated.
Describe the D-value of tumor sample's, 0 expected, ratio minus the normal one in the chromosome level. The grayscale stands for probability.
Barplot of mutation frequency for each gene, both SNVs and CNVs are included. Samples with deletions, amplifications and SNVs are colored in blue, red and green respectively. Samples that both SNVs and CNVs are detected are colored in light grey.
Correlations between expressions and mutations for each gene of query data set. Each box presents the distribution of RNA-seq Z-score values of the gene, and each point depicts a non-synonymous mutations detected in this gene. Mutation types are highlighted by different colors.
Heatmap describes the relationship between SNVs for each gene pair. The colors are related to the values of odds ratio, and the levels of significance are showed by stars.
Describe miRNA data of a sample set, cell color relate to expression values. Clustering method is used to make characteristic clear.
This tool analyses the correlation between miRNA expression data and protein expression data, and descript them with Heatmap. Additional clinical data of each sample is inserted above the graph.
Discrete CNV values are cut off to 3 levels: -1, 0, 1. This graph show you the differences of miRNA among those levels.