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

University Standing at time of data collection

Assistant Professor

2780.zip (18354 kB)

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Public Domain Dedication 1.0 License.

Included in

Chemistry Commons

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