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.factor %} {% if e.zscore > -15 %} {{e.factor}} {% else %} {{e.factor}} {% endif %} {% endif %} | {{e.dbd}} | {{e.hits}} | {{e.cutoff}} | {{e.zscore}} | {{e.pval}} | {{e.similarity_score}} | {{e.position}} |
The MDSeqPos results are classified into several groups depend on their sequence logo similarity.
For the "factor" column these with zscore < -15 are in black, which is better result than grey ones.
For "similarity to top" column, it calculate a similarity score[1] with the top one in this class. If the score
is larger than 2.85, we think them are similar logos.
[1] Habib N. A Novel Bayesian DNA Motif Comparison Method for Clustering and Retrieval. PLoS Comput Biol. 2011 May;7(5).