ArticleProceedings of the National Academy of Sciences of the United States of America1991
Locating protein-coding regions in human DNA sequences by a multiple sensor-neural network approach.
Article in Proceedings of the National Academy of Sciences of the United States of America, 1991. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.
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Who cites it
101 citing papers in PubMed, 658 citations in OpenAlex.
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- Normal and compound poisson approximations for pattern occurrences in NGS reads.Journal of computational biology : a journal of computational molecular cell biology · 2012Article
- Classifying coding DNA with nucleotide statistics.Bioinformatics and biology insights · 2009Article
- Genome structure of the legume, Lotus japonicus.DNA research : an international journal for rapid publication of reports on genes and genomes · 2008Article
- Analysis of the cDNAs of hypothetical genes on Arabidopsis chromosome 2 reveals numerous transcript variants.Plant physiology · 2005Article
- Despite WT1 binding sites in the promoter region of human and mouse nucleoporin glycoprotein 210, WT1 does not influence expression of GP210.Journal of negative results in biomedicine · 2004Article
- A brief review of computational gene prediction methods.Genomics, proteomics & bioinformatics · 2004Review
- Marine organism cell biology and regulatory sequence discoveryin comparative functional genomics.Cytotechnology · 2004Article
- Gene structure prediction in syntenic DNA segments.Nucleic acids research · 2003Article
- Gene prediction by spectral rotation measure: a new method for identifying protein-coding regions.Genome research · 2003Article
- A novel CpG-associated brain-expressed candidate gene for chromosome 18q-linked bipolar disorder.Molecular psychiatry · 2003Article
- Species-specific protein sequence and fold optimizations.BMC bioinformatics · 2002Article
- Cloning and sequencing of cDNAs for hypothetical genes from chromosome 2 of Arabidopsis.Plant physiology · 2002Article
- DNA splice site detection: a comparison of specific and general methods.Proceedings. AMIA Symposium · 2002Article
41 more citing papers are in PubMed but not listed here.
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2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Genes in higher eukaryotes may span tens or hundreds of kilobases with the protein-coding regions accounting for only a few percent of the total sequence. Identifying genes within large regions of uncharacterized DNA is a difficult undertaking and is currently the focus of many research efforts. We describe a reliable computational approach for locating protein-coding portions of genes in anonymous DNA sequence. Using a concept suggested by robotic environmental sensing, our method combines a set of sensor algorithms and a neural network to localize the coding regions. Several algorithms that report local characteristics of the DNA sequence, and therefore act as sensors, are also described. In its current configuration the "coding recognition module" identifies 90% of coding exons of length 100 bases or greater with less than one false positive coding exon indicated per five coding exons indicated. This is a significantly lower false positive rate than any method of which we are aware. This module demonstrates a method with general applicability to sequence-pattern recognition problems and is available for current research efforts.
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