Metriculator: quality assessment for mass spectrometry-based proteomics | Zendy

Ryan M. Taylor | Zendy; Jamison Dance | Zendy; Russ Taylor | Zendy; John T. Prince | Zendy

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Metriculator: quality assessment for mass spectrometry-based proteomics

Author(s) -

Ryan M. Taylor,

Jamison Dance,

Russ Taylor,

John T. Prince

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt510

Subject(s) - nist , computer science , metric (unit) , quality assurance , plug in , software , mit license , quality (philosophy) , data mining , data science , engineering , programming language , philosophy , operations management , external quality assessment , epistemology , natural language processing

Quality control in mass spectrometry-based proteomics remains subjective, labor-intensive and inconsistent between laboratories. We introduce Metriculator, a software designed to facilitate long-term storage of extensive performance metrics as introduced by NIST in 2010. Metriculator features a web interface that generates interactive comparison plots for contextual understanding of metric values and an automated metric generation toolkit. The comparison plots are designed for at-a-glance determination of outliers and trends in the datasets, together with relevant statistical comparisons. Easy-to-use quantitative comparisons and a framework for integration plugins will encourage a culture of quality assurance within the proteomics community.

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