SELEX_DB: Synthetic oligoDNA's randomized/selected for binding GST-YY1 complex

Input DNA Sequence :
from Screen:

from DB: Bases Available:
from File: File formats here.

Select one of 21 [GST+YY1]-related recognition model listed below:

(A) Sixteen [GST+YY1] complex binding site recognitions optimized over the [GST+YY1] SELEXed data:

[GST+YY1] complex: Frequency matrix for Homology Score
[GST+YY1] complex: Frequency matrix for Information content
[GST+YY1] complex: Frequency matrix for Matrix similarity
[GST+YY1] complex: Frequency matrix for Sensibility score
[GST+YY1] complex: Frequency matrix for Fisher's Linear Discriminant
[GST+YY1] complex: Frequency matrix for Free energy change
[GST+YY1] complex: Frequency matrix for Chance amount
[GST+YY1] complex: Consensus with Homology Score
[GST+YY1] complex: Consensus with Information content
[GST+YY1] complex: Consensus with Matrix similarity
[GST+YY1] complex: Consensus with Sensibility score
[GST+YY1] complex: Consensus with Fisher's Linear Discriminant
[GST+YY1] complex: Consensus with Free energy change
[GST+YY1] complex: Consensus with Chance amount
[GST+YY1] complex: Mean Recognition Score
[GST+YY1] complex: Mean Recognition Score with Diffusion Additive

(B) Three additional TF-site recognition procedutes adapted to the others YY1-related natural and SELEXed data:

[GST+YY1] complex: Natural sites YY1
[GST+YY1] complex: OligoDNA's YY1-SELEXed with the site core Ccat
[GST+YY1] complex: OligoDNA's YY1-SELEXed with the site core Acat

(C) Two additional, since YY1 can also bind to Inr-element, Inr-element recognition procedutes adapted to the genomic DNA data:

[GST+YY1] complex: Natural high-eukaryotic Inr-elements (EPD database)
[GST+YY1] complex: Natural primitive-eukaryotic Inr-elements [Liston,DR, & Johnson,PJ, MCB, 1999, 19(3):2380-8]

The Institute of Cytology and Genetics (Russia)

This resource has been developed in collaboration between
The Institute of Cytology and Genetics (Novosibirsk, Russia) and The Institute of Physical and Chemical Research, RIKEN (Thukuba, Japan)
that was supported by RFBR grant #98-07-90126 (Russia) and STA Fellow #499042 (Japan)

Author: Julia Ponomarenko, Galine Orlova, Sergey Lavrushev, Svetlana Zybova,
 Misha Ponomarenko, Anatoly Frolov,

Supervisors: Nikolay Kolchanov, Prof. and Akinori Sarai, Prof.