Journal Article

DKFZ-2017-04704

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png pyQms enables universal and accurate quantification of mass spectrometry data.

Leufken, J. ; Niehues, A. ; Sarin, L. P. ; Wessel, F.DKFZ* ; Hippler, M. ; Leidel, S. A. ; Fufezan, C.

2017
The American Society for Biochemistry and Molecular Biology Bethesda, Md.

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Please use a persistent id in citations: doi:10.1074/mcp.M117.068007

Abstract: Quantitative mass spectrometry (MS) is a key technique in many research areas (1), including proteomics, metabolomics, glycomics, and lipidomics. Because all of the corresponding molecules can be described by chemical formulas, universal quantification tools are highly desirable. Here, we present pyQms, an open-source software for accurate quantification of all types of molecules measurable by MS. pyQms uses isotope pattern matching that offers an accurate quality assessment of all quantifications and the ability to directly incorporate mass spectrometer accuracy. pyQms is, due to its universal design, applicable to every research field, labeling strategy, and acquisition technique. This opens ultimate flexibility for researchers to design experiments employing innovative and hitherto unexplored labeling strategies. Importantly, pyQms performs very well to accurately quantify partially labeled proteomes in large scale and high throughput, the most challenging task for a quantification algorithm.

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Contributing Institute(s):

1. Immuntherapie Labor (G181)

Research Program(s):

1. 317 - Translational cancer research (POF3-317) (POF3-317)

Appears in the scientific report 2017

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Database coverage:
; BIOSIS Previews ; Current Contents - Life Sciences ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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