Keywords
Mass spectrometry proteomics, feature detection, evaluation, annotation, gold-standard
Data Set Description Summary
This data set and accompanying annotations, referred to as the MOUSE data set, were used for feature detection algorithm evaluation (FDAE) as described in "Massifquant: open-source Kalman filter based XC-MS feature detection". Bioinformatics. 2013. (additional citation details available after publication). Existing and future feature detection and quantitation methods designed for LC-MS are welcome to make use of the data. Since the annotation has isotopic information, users are encouraged to develop other meaningful algorithm evaluations at the isotopic-level. Finally, it serves as an example to be improved upon for future manual-annotation efforts undertaken by the XC-MS community.
BYU ScholarsArchive Citation
Prince, John T. and Conley, Christoper, "Annotated Chromatographic Isotope Features from a Highly Complex Mass Spectrometry Proteomic Dataset (MOUSE) for Feature Detection Algorithm Evaluation" (2013). ScholarsArchive Data. 1.
https://scholarsarchive.byu.edu/data/1
Document Type
Data
Publication Date
2013-08-21
Permanent URL
http://hdl.lib.byu.edu/1877/3232
Language
English
College
Physical and Mathematical Sciences
Department
Chemistry and Biochemistry
Copyright Use Information
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Creative Commons License
This work is licensed under a
Creative Commons Public Domain Dedication 1.0 License.