PyMS: a Python toolkit for processing of gas chromatography-mass spectrometry (GC-MS) data. Application and comparative study of selected tools. - Sean O'Callaghan; David P. De Souza; Andrew Isaac; Qiao Wang; Luke Hodkinson; Moshe Olshansky; Tim Erwin; Bill Appelbe; Dedreia L. Tull; Ute Roessner; Antony Bacic; Malcolm J. McConville; et al. (BMC Bioinform., 2012)

EXIMS: an improved data analysis pipeline based on a new peak picking method for EXploring Imaging Mass Spectrometry data. - Chalini D. Wijetunge; Isaam Saeed; Berin A. Boughton; Jeffrey M. Spraggins; Richard M. Caprioli; Antony Bacic; Ute Roessner; Saman K. Halgamuge (Bioinform., 2015)

Best practice data life cycle approaches for the life sciences. - Philippa C. Griffin; Jyoti Khadake; Kate S. LeMay; Suzanna E. Lewis; Sandra E. Orchard; Andrew Pask; Bernard J. Pope; Ute Roessner; Keith Russell; Torsten Seemann; Andrew E. Treloar; Sonika Tyagi; et al. (F1000Research, 2017)

Metabolome Analysis. - Saravanan Dayalan; Jianguo Xia; Rachel A. Spicer; Reza M. Salek; Ute Roessner (Encyclopedia of Bioinformatics and Computational Biology (2), 2019)