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.

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

2780.zip (18354 kB)

Included in

Chemistry Commons

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