title: DAPPLE: a pipeline for the homology-based prediction of phosphorylation sites.
abstract: CONCLUSIONS
  While many experimentally characterized phosphorylation sites exist for certain organisms, such as human, rat and mouse, few sites are known for other organisms, hampering related research efforts. We have developed a software pipeline called DAPPLE that automates the process of using known phosphorylation sites from other organisms to identify putative sites in an organism of interest.
  
  
  BACKGROUND
  DAPPLE is available as a web server at http://saphire.usask.ca.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors: Department of Computer Science, University of Saskatchewan, Saskatoon, SK S7N 5C9, Canada. brett.trost@usask.ca
authors: Brett
authors: B
authors: Trost
authors: Ryan
authors: R
authors: Arsenault
authors: Philip
authors: P
authors: Griebel
authors: Scott
authors: S
authors: Napper
authors: Anthony
authors: A
authors: Kusalik
mesh_terms: D000818:Animals; D002417:Cattle; D006801:Humans; D010750:Phosphoproteins / Q000737:chemistry* / Q000378:metabolism*; D010766:Phosphorylation; D020539:Sequence Analysis, Protein; D017386:Sequence Homology, Amino Acid; D012984:Software
chemical_list: D010750:Phosphoproteins