title: Computational prediction of eukaryotic protein-coding genes.
abstract: The human genome sequence is the book of our life. Buried in this large volume are our genes, which are scattered as small DNA fragments throughout the genome and comprise a small percentage of the total text. Finding these indistinct 'needles' in a vast genomic 'haystack' can be extremely challenging. In response to this challenge, computational prediction approaches have proliferated in recent years that predict the location and structure of genes. Here, I discuss these approaches and explain why they have become essential for the analyses of newly sequenced genomes.
authors.affiliation: Watson School of Biological Sciences, Cold Spring Harbor Laboratory, 1 Bungtown Road, PO Box 100, Cold Spring Harbor, New York 11724, USA. mzhang@cshl.edu
authors.forename: Michael Q
authors.initials: MQ
authors.lastname: Zhang
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D001483:Base Sequence; D005091:Exons / Q000235:genetics; D015870:Gene Expression; D005796:Genes; D005815:Genetic Code; D008322:Mammals; D008390:Markov Chains; D008957:Models, Genetic; D011506:Proteins / Q000235:genetics*; D017386:Sequence Homology, Amino Acid; D012984:Software
chemical_list: D011506:Proteins