Welcome to the TFpredict documentation!
TFpredict is a tool for the identification and structural characterization of transcription factors based on supervised machine learning.
Features
Distinguish transcription factors (TF) from other proteins (Non-TF)
Predict the structural superclass of TFs (see TransFac classification)
Identify the DNA-binding domains of TFs
Citing TFpredict
Article citations are critical for us to be able to continue support for TFpredict. If you use TFpredict and you publish papers about work that uses TFpredict, we ask that you please cite the TFpredict paper.
Research Article:
Johannes Eichner, Florian Topf, Andreas Dräger, Clemens Wrzodek, Dierk Wanke, and Andreas Zell. TFpredict and SABINE - Sequence-Based Prediction of Structural and Functional Characteristics of Transcription Factors. PLoS ONE, 8(12):e82238, December 2013. [DOI | PDF]