title: A computational approach for identifying pseudogenes in the ENCODE regions.
abstract: BACKGROUND
  Pseudogenes are inheritable genetic elements showing sequence similarity to functional genes but with deleterious mutations. We describe a computational pipeline for identifying them, which in contrast to previous work explicitly uses intron-exon structure in parent genes to classify pseudogenes. We require alignments between duplicated pseudogenes and their parents to span intron-exon junctions, and this can be used to distinguish between true duplicated and processed pseudogenes (with insertions).
  
  
  RESULTS
  Applying our approach to the ENCODE regions, we identify about 160 pseudogenes, 10% of which have clear 'intron-exon' structure and are thus likely generated from recent duplications.
  
  
  CONCLUSIONS
  Detailed examination of our results and comparison of our annotation with the GENCODE reference annotation demonstrate that our computation pipeline provides a good balance between identifying all pseudogenes and delineating the precise structure of duplicated genes.
authors.affiliation: Department of Molecular Biophysics and Biochemistry, Yale University, Whitney Avenue, New Haven, CT 06520, USA.
authors.forename: Deyou
authors.initials: D
authors.lastname: Zheng
authors.forename: Mark B
authors.initials: MB
authors.lastname: Gerstein
mesh_terms: D019295:Computational Biology / Q000379:methods*; D023281:Genomics / Q000379:methods*; D011544:Pseudogenes; D017422:Sequence Analysis, DNA; D012984:Software