Computational prediction of eukaryotic protein-coding genes.
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.
Zhang
Michael Q
MQ
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
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
D011506:Proteins