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IsoCor: correcting MS data in isotope labeling experiments

Abstract : Mass spectrometry (MS) is widely used for isotopic labeling studies of metabolism and other biological processes. Quantitative applications-e. g. metabolic flux analysis-require tools to correct the raw MS data for the contribution of all naturally abundant isotopes. IsoCor is a software that allows such correction to be applied to any chemical species. Hence it can be used to exploit any isotopic tracer, from well-known (C-13, N-15, O-18, etc) to unusual (Fe-57, Se-77, etc) isotopes. It also provides new features-e. g. correction for the isotopic purity of the tracer-to improve the accuracy of quantitative isotopic studies, and implements an efficient algorithm to process large datasets. Its user-friendly interface makes isotope labeling experiments more accessible to a wider biological community.
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Submitted on : Thursday, February 4, 2016 - 10:38:16 PM
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Pierre Millard, Fabien Letisse, Serguei Sokol, Jean-Charles Portais. IsoCor: correcting MS data in isotope labeling experiments. Bioinformatics, Oxford University Press (OUP), 2012, 28 (9), pp.1294 - 1296. ⟨10.1093/bioinformatics/bts127⟩. ⟨hal-01268343⟩



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