[ close ]
[ close ]
[ close ]
[ close ]
[ close ]
[ close ]
For the simple algorithm: fg_match
For the other algorithms: fg_match / fg_size

[ close ]
For the simple algorithm: bg_match
For the other algorithms: bg_match / bg_size

[ close ]
[ close ]
[ close ]
[ close ]
[ close ]
[ close ]
[ close ]

For further information on how to interpret these results please access http://localhost:8080/meme_5.0.4/doc/momo-output-format.html.
To get a copy of the MEME software please access http://meme-suite.org.

If you use MoMo in your research, please cite the following paper:
Alice Cheng, Charles Grant, Timothy L. Bailey and William Noble, "MoMo: Discovery of statistically significant post-translational modification motifs", Bioinformatics, 2018. [full text]

Discovered Motifs   |   Inputs & Settings   |   Program information   |   Results in TSV Format    |   Results in MEME Format 

Discovered Motifs

Mod 
Motif 
Regular Expression 
Score 
FG 
BG 
Fold Enrichment 
Unadjusted p-value 
Tests 
Adjusted p-value 
Motif Occurrences 
MoDL Log 

Inputs & Settings

Other Settings

filter foreground peptides?
remove peptides if they contain 'X'?
eliminate duplicate peptides?
generate single motif per mass?
random number seed
MoMo version
(Release date: )
Command line summary