Prediction of operons in microbial genomes.

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How researchers see this paper

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A novel method for accurate operon predictions in all sequenced prokaryotes (2005, methodology): “coli cannot be predicted this way (7).”
DOOR: a database for prokaryotic operons (2008, background): “For example, OperonDB contains predicted operons for 550 genomes with documented prediction sensitivity at 30–50% on Escherichia coli (1).”
Prolinks: a database of protein functional linkages derived from coevolution (2004, methodology): “Various methods have been developed to identify operon structure within microbial genomes [11-13], relying on intergenic distance as a predictor of operon structure.”
Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners (2007, unknown): “based on intergenic distances [2–6] (Figure 1A).”
DAGchainer: a tool for mining segmental genome duplications and synteny (2004, background): “For distantly related organisms, it may be indicative of some functional relevance, such as coordinated regulation of gene expression as found in bacterial operons (Ermolaeva et al., 2001).”