Flow Documentation

Partek Flow Documentation

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Table of Contents
maxLevel2
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excludeAdditional Assistance

Motif detection tasks allow to extract binding motifs from peak region generated from ChIP-seq data.  It allows users to search for know motifs from provided database as well as detect noval motifs. These tasks are available when click on region data node

Detect de novo motifs

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Search for know motifs

Additional assistance

 

Click on Peak data node, select Detect de novo motifs from Motif detection section in the pop-up menu (Figure 1), specify the number of motifs to detect and the length of the motifs.

 

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SubtitleTextDetect novo motif dialog
AnchorNamenovo_motif

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Motif discovery is done using Gibbs motif sampling. Partek Flow's implementation of the Gibbs motif sampling is based on Neuwal, et all [1]. the Gibbs sampling method is a stochastic procedure that attempts to find the subset of sequences within the regions that maximizes the log likelihood ratio (LLR)

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This is done by repeating the below two steps until conveergences:

A. Given the alignment matrix from step B, search for location in the set of regions that score highly compared to the alignment matrix using equation

Search for know motifs

Reference

  1. Neuwald, A.F., Liu, J.S., & Lawrence, C.E. Gibbs motif sampling: detection of bacterial outer membrane protein repeats. Protein Science 1995, 4: 1618-1632.

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