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Figure 1 | BMC Genomics

Figure 1

From: FunPat: function-based pattern analysis on RNA-seq time series data

Figure 1

Description of FunPat workflow. Starting from time series expression data monitored in two different conditions (A), the Bounded-Area method provides a rank of genes according to a statistic built from the experimental replicates (B). Both seeds and candidates are mapped to structured prior knowledge organized into Gene Sets (GS) and a model-based clustering is applied to each Gene Set, following the procedure described in C. The pipeline identifies both Gene Set-specific patterns, characterizing clusters of genes (e.g. Gene 1 and 4 for GS 2), and Main Patterns, characterizing clusters of Gene Sets (e.g. red Main Pattern, associated to GS 2 and 6).

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