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Sequence motif
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====Matrices==== A matrix of numbers containing scores for each residue or nucleotide at each position of a fixed-length motif. There are two types of weight matrices. * A position frequency matrix (PFM) records the position-dependent frequency of each residue or nucleotide. PFMs can be experimentally determined from SELEX experiments or computationally discovered by tools such as MEME using hidden Markov models. * A [[position weight matrix]] (PWM) contains log odds weights for computing a match score. A cutoff is needed to specify whether an input sequence matches the motif or not. PWMs are calculated from PFMs. PWMs are also known as PSSMs. An example of a PFM from the [[TRANSFAC]] database for the transcription factor AP-1: {| class="wikitable" style="text-align:center; border:5" ! Pos !! A !! C !! G !! T !! IUPAC |- | 01 || 6 || 2 || 8 || 1 || R |- | 02 || 3 || 5 || 9 || 0 || S |- | 03 || 0 || 0 || 0 || 17 || T |- | 04 || 0 || 0 || 17 || 0 || G |- | 05 || 17 || 0 || 0 || 0 || A |- | 06 || 0 || 16 || 0 || 1 || C |- | 07 || 3 || 2 || 3 || 9 || T |- | 08 || 4 || 7 || 2 || 4 || N |- | 09 || 9 || 6 || 1 || 1 || M |- | 10 || 4 || 3 || 7 || 3 || N |- | 11 || 6 || 3 || 1 || 7 || W |} The first column specifies the position, the second column contains the number of occurrences of A at that position, the third column contains the number of occurrences of C at that position, the fourth column contains the number of occurrences of G at that position, the fifth column contains the number of occurrences of T at that position, and the last column contains the IUPAC notation for that position. Note that the sums of occurrences for A, C, G, and T for each row should be equal because the PFM is derived from aggregating several consensus sequences.
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