{% extends "layout.html" %} {% block body %}
{% endfor %}
Read {{ bg_num_bases }} bases from {{ bg_num_sequences }} background sequences. {{ '%.1f%%' % (bg_unknown * 100) }} of bases were unknown. Other bases were distributed as:
E-value
The E-value quantifies the statistical significance of the motif. The best motifs have a smaller E-value. The E-value is calculated
from the log-likelihood ratio (LLR), width, number of sites of the motif, the frequencies of the bases in the
input sequences and the size of the input. The E-value is an estimate of the expected number of motifs with a higher LLR and the
same width and number of sites that MEME would find if it were given random sequences that had the same background frequencies.
On large data sets the E-value has a very wide range so STEME presents the base-10 logarithm of the E-value to avoid
overflows and underflows.
Log-likelihood ratio
The log-likelihood ratio is a statistic that quantifies how different the binding sites of a motif are from the background
distribution. It is the logarithm of the ratio of the likelihoods of the motif's binding sites under two distributions:
the motif distribution and the background distribution.
{% endblock %}