The name of the database (file name) that contains the motif.

A name for the motif that is unique in the motif database file.

An alternate name of the motif that may be provided in the motif database file.

For statistical test methods, splitting the sorted input sequences into two partitions at this rank gives the optimal p-value. Sequences at and above this rank were treated as "positives", and sequences with larger rank were treated as "negatives" when applying the statistical test that gives the optimal p-value. For linreg), the optimal split is the one that yields the minimum mean squared error.

The (optimal) enrichment p-value of the motif according to the statistical test.

The adjusted (optimal) enrichment p-value of the motif according to the statistical test. This is the best p-value for the motif, adjusted for multiple tests using a Bonferroni correction. The number of multiple tests is given at the start of this section. If the p-value is p and the number of multiple tests is n, then the adjusted p-value is 1 - (1-p)**n.

The value of Spearman's rank correlation coefficient (ρ). It varies between -1 and +1. Low values of ρ indicate high correlation between the ranks of sequences sorted by motif scores (decreasing) or FASTA scores (increasing). So, assuming small FASTA scores are "good", a low value of ρ indicates that a motif is enriched in the "good" sequences.

The value of the mean squared error of the linear regression of X vs Y.

The slope of the regression line: Y = mX + b.

The Y-intercept of the regression line: Y = mX + b.