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Fig. 4 | BMC Bioinformatics

Fig. 4

From: abc4pwm: affinity based clustering for position weight matrices in applications of DNA sequence analysis

Fig. 4

An overview of abc4pwm workflow. This figure shows an overview of all major features in abc4pwm. Purple line flow shows classification module where input PWMs are divided into DBD. Then, clustering module (orange flow) is applied within each DBD. Subsequently, resulted clusters are subjected to quality assessment (green flow) and a representative motif or PWM is created for each cluster. Green dotted line shows flow where input PWMs skip DBD assignment step. Orange dotted line shows the flow of ensemble learning technique for motif prediction

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