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dc.contributor.author Royston en_US
dc.contributor.author S. en_US
dc.contributor.author David I. en_US
dc.contributor.author Douglas B. en_US
dc.date.accessioned 2010-03-03T12:16:33Z
dc.date.available 2010-03-03T12:16:33Z
dc.date.issued 2003-10-25 en_US
dc.identifier http://dx.doi.org/10.1021/ac034669a en_US
dc.identifier.citation Goodacre , R , Vaidyanathan , S , Broadhurst , D I & Kell , D B 2003 , ' Explanatory optimization of protein mass spectrometry via genetic search ' Analytical Chemistry , pp. 6679-6686 . , 10.1021/ac034669a en_US
dc.identifier.other PURE: 136398 en_US
dc.identifier.other dspace: 2160/4146 en_US
dc.identifier.uri http://hdl.handle.net/2160/4146
dc.description.abstract Optimizing experimental conditions for the effective analysis of intact proteins by mass spectrometry is challenging, as many analytical factors influence the spectral quality, often in very different ways for different proteins and especially with complex protein mixtures. We show that genetic search methods are highly effective in this kind of optimization and that it was possible in 6 generations with a total of en_US
dc.format.extent 8 en_US
dc.relation.ispartof Analytical Chemistry en_US
dc.title Explanatory optimization of protein mass spectrometry via genetic search en_US
dc.contributor.pbl Aberystwyth University en_US
dc.contributor.pbl Institute of Biological, Environmental and Rural Sciences en_US


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