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.
Physical and Mathematical Sciences
Chemistry and Biochemistry
Copyright Use Information
Creative Commons License
This work is licensed under a Creative Commons Public Domain Dedication 1.0 License.