Figure 2

The graphic representation of the 0-k mixture model for TFBS. The simple mixture of Markov models for TFBS. Since TFBS are short (5–16 bases), a mixture model consisting of the 0^th order and 1^st/2^nd order Markov chains is generally adequate for predicting new binding sites. The sub-motif formed by independent positions is modeled by a 0^th order Markov order model. The sub-motif forming by the remaining positions is modeled by either a 1^st or 2^nd order Markov chain, which can be either linear (break at dotted arrows) or circular.