PyMS: a Python toolkit for processing of gas chromatography-mass spectrometry (GC-MS) data. Application and comparative study of selected tools - O'Callaghan, Sean; De Souza, David P; Isaac, Andrew; Wang, Qiao; Hodkinson, Luke; Olshansky, Moshe; Erwin, Tim; Appelbe, Bill; Tull, Dedreia L; Roessner, Ute; Bacic, Antony; McConville, Malcolm J; et al. (BMC bioinformatics, 2012)
Keywords: Academic libraries; Algorithms; Bioinformatics; Biomedical and Life Sciences; Biomedical research; Chromatography; Comparative analysis; Comparative studies; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Computer graphics; Computer programs; Data Interpretation, Statistical; Data processing; Design of experiments; Dynamic programming; Gas chromatography; Gas Chromatography-Mass Spectrometry - statistics & numerical data; Health aspects; high-throughput screening; Integration; Language; Life Sciences; Mass spectrometry; Mass spectroscopy; Metabolites; Metabolomics; Methods; Microarrays; Multiprocessing; Programming languages; Quantitation; Science; Software; Software packages; Spectrum analysis; Studies; Technological change; User interface; Comma Separate Value; Peak Detection; Peak Alignment; Data Processing Capability; Message Passing Interface