title: Tree Gibbs Sampler: identifying conserved motifs without aligning orthologous sequences.
abstract: CONCLUSIONS
  Tree Gibbs Sampler is a software for identifying motifs by simultaneously using the motif overrepresentation property and the motif evolutionary conservation property. It identifies motifs without depending on pre-aligned orthologous sequences, which makes it useful for the extraction of regulatory elements in multiple genomes of both closely related and distant species.
  
  
  BACKGROUND
  The Tree Gibbs Sampler software is freely downloadable at https://compbio.iupui.edu/xiaomanli/LiSoftware/retrieve.php?ID=tgs
authors.affiliation: Division of Biostatistics, School of Medicine, Indiana University, Indianapolis, IN 46202, USA.
authors.forename: Xiaohui
authors.initials: X
authors.lastname: Cai
authors.forename: Haiyan
authors.initials: H
authors.lastname: Hu
authors.forename: Xiaoman Shawn
authors.initials: XS
authors.lastname: Li
mesh_terms: D000465:Algorithms; D020816:Amino Acid Motifs / Q000235:genetics*; D017124:Conserved Sequence / Q000235:genetics*; D019143:Evolution, Molecular; D011506:Proteins / Q000235:genetics*; D016415:Sequence Alignment / Q000379:methods; D017422:Sequence Analysis, DNA / Q000379:methods*; D012689:Sequence Homology, Nucleic Acid; D012984:Software
chemical_list: D011506:Proteins