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De-novo motif discovery and repeats

Just a general question, often when running something like meme to search for de novo motif hits in my data the top few sequences I get back look like the following:

Motif 1 regular expression
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T[GC]T[GC]T[GC]T[GC]T[GC]T[GC]TGT[GC]T[GC]T[GC]T[GC]T

Wondering if there is an appropriate way to scan for enriched de novo motifs and avoid the repetitive stuff. I realize some TFs have these kinds of consensus sequences but I am assuming most do not. Thoughts?

Thanks.

motif meme fimo de novo
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updated by Alex Reynolds Alex Reynolds • written by rbronste rbronste

1 answer

You might look at regions that match these patterns and investigate associations with footprints or ChIP-seq signal etc. that associate with gene regulation. You might filter out repeat-masked regions. Basically, the idea is to integrate annotations to eliminate motifs that are not generally functional.

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written by Alex Reynolds Alex Reynolds

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