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The procedure can be applied to both single metabolic modules and whole metabolic network data without the need of any specific assumption.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>We demonstrate both the ability of the proposed method to build reliable biological classification of a set of microrganisms and the strong correlation between the metabolic network wiringand involved enzymes sequence space.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>The method represents a valuable tool for the investigation of genotype\/phenotype correlationsallowing for a direct comparison of different species as for their metabolic machinery. In addition the detection of enzymes whose sequence space is maximally correlated with the metabolicnetwork space gives an indication of the most crucial (on an evolutionary viewpoint) steps of the metabolic process.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1471-2105-7-24","type":"journal-article","created":{"date-parts":[[2006,1,23]],"date-time":"2006-01-23T13:04:26Z","timestamp":1138021466000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Metabolic pathways variability and sequence\/networks comparisons"],"prefix":"10.1186","volume":"7","author":[{"given":"Kyaw","family":"Tun","sequence":"first","affiliation":[]},{"given":"Pawan K","family":"Dhar","sequence":"additional","affiliation":[]},{"given":"Maria Concetta","family":"Palumbo","sequence":"additional","affiliation":[]},{"given":"Alessandro","family":"Giuliani","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2006,1,18]]},"reference":[{"key":"763_CR1","first-page":"R1697","volume":"266","author":"R Benigni","year":"1994","unstructured":"Benigni R, Giuliani A: Quantitative modeling and biology: The multivariate approach. 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