dMotifGreedy: a novel tool for de novo discovery of DNA motifs with enhanced power of reporting distinct motifs

Biology – Quantitative Biology – Genomics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

De novo discovery of over-represented DNA motifs is one of the major challenges in computational biology. Although numerous tools have been available for de novo motif discovery, many of these tools are subject to local optima phenomena, which may hinder detection of multiple distinct motifs. A greedy algorithm based tool named dMotifGreedy was developed. dMotifGreedy begins by searching for candidate motifs from pair-wise local alignments of input sequences and then computes an optimal global solution for each candidate motif through a greedy algorithm. dMotifGreedy has competitive performance in detecting a true motif and greatly enhanced performance in detecting multiple distinct true motifs. dMotifGreedy is freely available via a stand-alone program at http://lambchop.ads.uga.edu/dmotifgreedy/download.php.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

dMotifGreedy: a novel tool for de novo discovery of DNA motifs with enhanced power of reporting distinct motifs does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with dMotifGreedy: a novel tool for de novo discovery of DNA motifs with enhanced power of reporting distinct motifs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and dMotifGreedy: a novel tool for de novo discovery of DNA motifs with enhanced power of reporting distinct motifs will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-159572

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.