| clusters | collapsed_id | factor | DNA binding domain | hits | cutoff | zscore | -10*log(pval) | similarity to top | mean_position |
| {{motif.class_id}} | {% else %}|||||||||
| {{e.id}} | {% if e.factors %} {{e.factors|join('|')}} {% endif %} | {{e.dbd}} | {{e.getnumhits()}} | {{e.getcutoff()|float|round(3)}} | {{e.getzscore()|float|round(3)}} | {{e.getpvalue()}} | {{e.similarity_score}} | {{e.getmeanposition()|float|round(3)}} |
The seqLogo and matrix in this page is the observed one, not that one in our database.
The MDSeqPos results are classified into several groups depend on their sequence logo similarity.
For the "zscore" column with negative number, the smaller means more enriched. e.g. these with zscore < -15 are much much better.
For "similarity to top" column, it calculate a similarity score[1] with the top one in this class based on weighted PCC.
[1] Jiang P, Singh M. CCAT: Combinatorial Code Analysis Tool for transcriptional regulation. Nucleic Acids Res. 2014 Mar 1;42(5):2833-47.