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TFBSs are known as regulatory motifs and can be represented as position frequency matrices (PFMs). The de novo identification of transcription factor binding sites (TFBSs) is a crucial problem in computational biology and includes the issue of comparing putative TFBSs to one another and to already known TFBSs. To date there is no fuzzy approach for this problem. In this work we propose the use of...
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