PMID:12169563
| Citation |
Moreno-Hagelsieb, G and Collado-Vides, J (2002) A powerful non-homology method for the prediction of operons in prokaryotes. Bioinformatics 18 Suppl 1:S329-36 |
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| Abstract |
The prediction of the transcription unit organization of genomes is an important clue in the inference of functional relationships of genes, the interpretation and evaluation of transcriptome experiments, and the overall inference of the regulatory networks governing the expression of genes in response to the environment. Though several methods have been devised to predict operons, most need a high characterization of the genome analysed. Log-likelihoods derived from inter-genic distance distributions work surprisingly well to predict operons in Escherichia coli and are available for any genome as soon as the gene sets are predicted. |
| Links | |
| Keywords |
Algorithms; Bacteria/genetics; Base Sequence; Chromosome Mapping/methods; Gene Expression Profiling/methods; Gene Expression Regulation, Bacterial/genetics; Genome, Bacterial; Molecular Sequence Data; Operon/genetics; Prokaryotic Cells; Sequence Analysis, DNA/methods; Sequence Homology, Amino Acid; Transcription Factors/genetics |
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