# Boucher2010

CREATED: 201001261251 LINK: url:~/Modules/Literature/Boucher2010.pdf Title: Fast motif recognition via application of statistical thresholds

Approach

# construct a graph (V = seq, W = hamming distance)

# run MCL to find dense regions

# previous method: use dynamic programming to check whether consensus exist

use weights of a set (sum of pairwise hamming distance) as an indicator whether a set of sequences has a consensus, seems to work well in practice

effective rejection sampling of pairwise bounded sets