PyQuant: A Versatile Framework for Analysis of Quantitative Mass Spectrometry Data.

ABSTRACT: Quantitative mass spectrometry data necessitates an analytical pipeline that captures the accuracy and comprehensiveness of the experiments. Currently, data analysis is often coupled to specific software packages, which restricts the analysis to a given workflow and precludes a more thorough characterization of the data by other complementary tools. To address this, we have developed PyQuant, a cross-platform mass spectrometry data quantification application that is compatible with existing frameworks and can be used as a stand-alone quantification tool. PyQuant supports most types of quantitative mass spectrometry data including SILAC, NeuCode, (15)N, (13)C, or (18)O and chemical methods such as iTRAQ or TMT and provides the option of adding custom labeling strategies. In addition, PyQuan

SUBMITTER: Mitchell CJ 

PROVIDER: S-EPMC4974355 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature