Evolutionary programming as a platform for in silico metabolic engineering

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Evolutionary programming as a platform for in silico metabolic engineering is …
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scholarly articleQ13442814

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P8978DBLP publication IDjournals/bmcbi/PatilRFN05
P6179Dimensions Publication ID1051962435
P356DOI10.1186/1471-2105-6-308
P3181OpenCitations bibliographic resource ID3116876
P932PMC publication ID1327682
P698PubMed publication ID16375763
P5875ResearchGate publication ID7395033

P50authorJens B. NielsenQ16733372
Kiran R PatilQ40201471
Isabel RochaQ47449076
P2093author name stringJochen Förster
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Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic networkQ37087145
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P433issue1
P407language of work or nameEnglishQ1860
P921main subjectin silicoQ192572
metabolic engineeringQ6822347
P304page(s)308
P577publication date2005-01-01
P1433published inBMC BioinformaticsQ4835939
P1476titleEvolutionary programming as a platform for in silico metabolic engineering
P478volume6

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