We present a computational method for the genome-wide identification of binding sites for transcription factors. This method is designed to capture the characteristic patterns of transcription factor binding motif occurrences and the chromatin signatures at regulatory elements. The method significantly outperforms other methods in the identification of 13 transcription factor binding sites in mouse embryonic stem cells.