DiChIPMunk : on peaks and on multi-task seqlets and on single-task seqlets

HOMER : on peaks and on multi-task seqlets and on single-task seqlets

MEME : on peaks and on multitask seqlets and on single-task seqlets

DiChIPMunk on peaks

Figure A: We show the motifs discovered by DiChIPMunk, HOMER, and MEME. We run these methods on the peaks, or on seqlets (i.e. high-importance windows of sequence identified by the neural network). Note that running these methods on seqlets generally gives a large advantage, which TF-MoDISco seeks to leverage further.

DiChIPMunk on multi-task seqlets

DiChIPMunk on single-task seqlets

HOMER on peaks

HOMER on multi-task seqlets

HOMER on single-task seqlets

MEMEChIP on peaks

MEME on multi-task seqlets

MEME on single-task seqlets