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Position frequency matrices (PFMs) represent the most widely employed model for transcription factor binding motifs (TFBMs). Given a set of TFBMs, regulatory networks can be predicted through in silico methods by using cognate binding sequences to construct models. The availability of PFMs offers much promise for high throughput TFBM detection in the form of a pipeline to facilitate the analysis of...
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