Skip to main content
. Author manuscript; available in PMC: 2014 Dec 1.
Published in final edited form as: Nat Protoc. 2014 May 22;9(6):1428–1450. doi: 10.1038/nprot.2014.083

TABLE 2.

Troubleshooting table.

Step Problem Possible reason Solution
23 Error report: ‘The sequences submitted
for the input dataset appear to be in a
format that MEME-ChIP does not
recognize. Please check to be sure
that your data is formatted properly.’
Make sure that you did not submit a
Word document or a BED file or other
invalid file format
Re-format your sequence file to ensure that
it is in FASTA sequence format
Confirmation email is not received You might have entered your email
address incorrectly or your email
program may be filtering the
MEME-ChIP email as spam
Check your folders designated as junk
e-mail or spam. Try to configure your mail
program not to filter out emails from
http://meme.nbcr.net or http://meme.ebi.edu.au
24 The job stopped with a time-out error Very large MEME-ChIP jobs may run
out of time on the web server
Resubmit the job on an alternative server.
Currently the hardware on the server at
http://meme.ebi.edu.au is twice as fast as
that at http://meme.nbcr.net
Alternatively, run the job on your own
computer after installing MEME Suite (Box 4)
24 In the ‘PROGRAMS’ section of the results
page, getsize and MEME finished with
warnings like: ‘Duplicate sequence name.
XX’. In this case, you may notice that the
sequence counts in the ‘INPUT FILES’
section is unusually small
The sequences in the FASTA file have
duplicate FASTA IDs
Please make sure every sequence has a
unique FASTA ID. (The FASTA ID is everything
between the ‘>’ and the first white space on
the FASTA header line.) The second (or later)
duplicate sequence will be ignored by
MEME-ChIP during motif discovery
In the ‘PROGRAMS’ section of the results
page, CentriMo finished with a warning
like ‘Skipping sequence XX as its
length (XX) does not match the
expected length (XX)’
The sequences in the FASTA file do
not have the same length
Please make sure every sequence has the
same length. Otherwise, CentriMo will
skip them
When analyzing CLIP-seq data,
the de novo motifs identified are weakly
palindromic, and only half of each
palindromic motif matches with a
known RBP motif in the database
The program searched for motifs in
both strands of the RNA sequences
Make sure you check the ‘scan given strand
only’ box in Step 8
MEME or DREME identified a motif similar
to the known canonical motif of the
binding factor, but Tomtom annotates it
as some other similar or known motif
The canonical motif might not be
included in the selected motif
database
Please make sure that the appropriate motif
database is selected in Step 4
Alternatively, make a customized motif data-
base that includes the known canonical motif
matrix and select that database in Step 4
MEME-ChIP finished normally but the
known primary known binding motif
is not present in the results
The ChIP-seq or the CLIP-seq
experiment failed; the peak calling
program or the cross-linking site
identification method did not
perform as expected
There are many reasons that a ChIP-seq or
CLIP-seq experiment could go wrong. To help
identify the problem, check a few positive
control (known TF- or RBP-binding) regions.
In addition, check to ensure that the correct
genome assembly was used to retrieve the
sequences