Find TF Sites Altered By Sequence Variation

Predict and visualize the effect of every possible mutation within an enhancer sequence on TF binding. For mutations within predicted sites in the wild-type sequence, the mutation can either have no effect, decrease, optimize or ablate the TF-DNA interactions as quantified by either PWM-binding score or affinity reference dataset. For mutations residing outside predicted sites in the wild-type sequence, the mutation can either have no effect or create a de novo binding site, whose strength of interaction is again quantified either PWM-binding score or affinity reference dataset. If a mutation has multiple effects on TF binding, all effects are reported. When available, use of a binding site core and reference affinity dataset are always preferred over PWM approaches, as PWM-binding scores are worse predictors of binding affinity.
Links: Tutorial Video Documentation

Parameters

* One or more DNA sequences to perform in silico mutagenesis on.
Sequence name*
Name of the Enhancer.
Sequence*
DNA sequence of the Enhancer. Only use upper case A/T/C/G.
* Name of the transcription factor being analyzed.
Affinity reference data for the TF. You can generate an affinity dataset with the Normalize TF-DNA Affinity Data tool.
   or
   or
IUPAC definition of the core transcription factor binding site.

Other Parameters

* Select the types of SNV effects to report.
Only SNVs with a fold change above this threshold will be reported. By default, all SNVs will be reported.
Only SNVs with a fold change below this threshold will be reported. By default, all SNVs will be reported.
Resolution of the plot, in dots (pixels) per inch. Manuscripts require 300 dpi. Dpi does not effect resolution of SVG.
Optional: Given a start position and an end position, zoom into a portion of the sequence. The numbers in the range are inclusive. For example, the first 200 nucleotides of the sequence would be specified as: 1-200. Leave blank if not applicable.