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Sequence Analysis of Motifs Enrichment

Sequence Analysis of Motifs Enrichment

This module computes a discriminative motif enrichment analysis



 

Submission reference: 910401


Submission label (optional)

Email address (optional)
We suggest to provide an email address for jobs that contain more than 500 sequences

Reference set

Shuffle
Random
Custom


Set Coverage
Default is recommended for majority of users and provides simplicity and robustness. Switching to a lower threshold might yield to a different result but at potential cost of increased computational time. A higher threshold can speed up calculation but is only recommended using high quality data (e.g. iCLIP).

60%
65%
75% (default)
80%
85%
90%
95%


Use only given strand

True
False


Filter motif redundancy

True
False


Upload a Positive dataset (FASTA format, at least 10 and at most 104 sequences)


Upload a Reference dataset (FASTA format, at least 10 and at most 104 sequences)




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Sample data

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PAR-CLIP bound/unbound transcripts (FUS protein) - Hoell. et al., 2011