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Article Dans Une Revue Bioinformatics Année : 2012

IsoCor: correcting MS data in isotope labeling experiments

Résumé

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.

Dates et versions

hal-01268343 , version 1 (04-02-2016)

Identifiants

Citer

Pierre Millard, Fabien Letisse, Serguei Sokol, Jean-Charles Portais. IsoCor: correcting MS data in isotope labeling experiments. Bioinformatics, 2012, 28 (9), pp.1294 - 1296. ⟨10.1093/bioinformatics/bts127⟩. ⟨hal-01268343⟩
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