AutoCCS: automated collision cross-section calculation software for ion mobility spectrometry–mass spectrometry
Author(s) -
JoonYong Lee,
Aivett Bilbao,
Christopher Conant,
Kent Bloodsworth,
Danny Orton,
Mowei Zhou,
Jesse Wilson,
Xueyun Zheng,
Ian Webb,
Ailin Li,
Kim Hixson,
John C. Fjeldsted,
Yehia Ibrahim,
Samuel Payne,
Christer Jansson,
Richard Smith,
Thomas Metz
Publication year - 2021
Publication title -
bioinformatics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab429
Subject(s) - ion mobility spectrometry , mass spectrometry , collision , software , section (typography) , ion mobility spectrometry–mass spectrometry , ion , computer science , cross section (physics) , chemistry , tandem mass spectrometry , chromatography , selected reaction monitoring , physics , operating system , computer security , quantum mechanics , organic chemistry
Ion mobility spectrometry (IMS) separations are increasingly used in conjunction with mass spectrometry (MS) for separation and characterization of ionized molecular species. Information obtained from IMS measurements includes the ion's collision cross section (CCS), which reflects its size and structure and constitutes a descriptor for distinguishing similar species in mixtures that cannot be separated using conventional approaches. Incorporating CCS into MS-based workflows can improve the specificity and confidence of molecular identification. At present, there is no automated, open-source pipeline for determining CCS of analyte ions in both targeted and untargeted fashion, and intensive user-assisted processing with vendor software and manual evaluation is often required.
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