This example shows how promfinder scans the introduced sequences and returns hits for each one and for each matrix. The threshold used in the example is the one assigned by default (0.8). So, with this example we try to demonstrate that promfinder is a powerful tool in seeking defined patterns in sequences depending on which matrices are introduced. Matrices used for this case:
MATRIX 1: TATA box PO A C G T 01 61 145 152 31 S 02 16 46 18 309 T 03 352 0 2 35 A 04 3 10 2 374 T 05 354 0 5 30 A 06 268 0 0 121 A 07 360 3 20 6 A 08 222 2 44 121 W 09 155 44 157 33 R 10 56 135 150 48 N 11 83 147 128 31 N 12 82 127 128 52 N 13 82 118 128 61 N 14 68 107 139 75 N 15 77 101 140 71 N MATRIX 2: HNF1a PO A C G T 01 6 0 16 3 G 02 2 0 24 0 G 03 1 0 0 25 T 04 2 0 0 24 T 05 25 0 0 1 A 06 20 2 1 3 A 07 2 0 0 24 T 08 8 3 8 7 N 09 16 0 1 9 W 10 3 1 1 21 T 11 1 4 0 21 T 12 16 1 6 3 A 13 9 11 3 3 M 14 7 14 0 5 M 15 11 7 4 3 N
| Ir al principio de la página |
|
