Human Molecular Genetics, Vol 6, 1735-1744, Copyright © 1997 by Oxford University Press
JM Claverie
Research into new methods to identify genes in anonymous genomic sequences
has been going on for more than 15 years. Over this period of time, the
field has evolved from the designing of programs to identify protein coding
regions in compact mitochondrial or bacterial genomes, to the challenge of
predicting the detailed organization of multi-exon vertebrate genes. The
best program currently available perfectly locates more than 80% of the
internal coding exons, and only 5% of the predictions do not overlap a real
exon. Given such accuracy, computational methods are indeed very useful;
however, they do not alleviate the need for experimental validation. If the
performances are satisfactory for the identification of the coding moiety
of genes (internal coding exons), the determination of the full extent of
the transcript (5' and 3' extremities of the gene) and the location of
promoter regions are still unreliable. As the human and mouse genome
sequencing projects enter a production mode, the fully automated annotation
of megabase-long anonymous genomic sequences is the next big challenge in
bioinformatics.
REVIEWS
Computational methods for the identification of genes in vertebrate genomic sequences
Structural and Genetic Information Laboratory, CNRS-EP.91, Marseille, France. jmc@igs.cnrs-mrs.fr
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