Computational methods for pseudogene annotation based on sequence homology.
The number of complete genome sequences explodes more and more with each passing year. Thus, methods for genome annotation need to be honed constantly to handle the deluge of information. Annotation of pseudogenes (i.e., gene copies that appear not to make a functional protein) in genomes is a persistent problem; here, we overview pseudogene annotation methods that are based on the detection of sequence homology in genomic DNA.
Department of Biology, McGill University, Stewart Biology Building, 1205 Doctor Penfield Avenue, Montreal, QC, Canada, H3A 1B1, paul.harrison@mcgill.ca.
Paul M
PM
Harrison
D000818:Animals; D019295:Computational Biology / Q000379:methods*; D023281:Genomics / Q000379:methods; D006801:Humans; D020407:Internet; D058977:Molecular Sequence Annotation / Q000379:methods*; D011544:Pseudogenes / Q000235:genetics*; D017385:Sequence Homology; D012984:Software