Literature DB >> 24002108

Metriculator: quality assessment for mass spectrometry-based proteomics.

Ryan M Taylor1, Jamison Dance, Russ J Taylor, John T Prince.   

Abstract

SUMMARY: 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.
AVAILABILITY AND IMPLEMENTATION: Available under the MIT license at http://github.com/princelab/metriculator.

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Year:  2013        PMID: 24002108     DOI: 10.1093/bioinformatics/btt510

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  7 in total

1.  MSstatsQC: Longitudinal System Suitability Monitoring and Quality Control for Targeted Proteomic Experiments.

Authors:  Eralp Dogu; Sara Mohammad-Taheri; Susan E Abbatiello; Michael S Bereman; Brendan MacLean; Birgit Schilling; Olga Vitek
Journal:  Mol Cell Proteomics       Date:  2017-05-08       Impact factor: 5.911

2.  An Automated Pipeline to Monitor System Performance in Liquid Chromatography-Tandem Mass Spectrometry Proteomic Experiments.

Authors:  Michael S Bereman; Joshua Beri; Vagisha Sharma; Cory Nathe; Josh Eckels; Brendan MacLean; Michael J MacCoss
Journal:  J Proteome Res       Date:  2016-10-04       Impact factor: 4.466

3.  BatMass: a Java Software Platform for LC-MS Data Visualization in Proteomics and Metabolomics.

Authors:  Dmitry M Avtonomov; Alexander Raskind; Alexey I Nesvizhskii
Journal:  J Proteome Res       Date:  2016-06-28       Impact factor: 4.466

4.  Quality Control Analysis in Real-time (QC-ART): A Tool for Real-time Quality Control Assessment of Mass Spectrometry-based Proteomics Data.

Authors:  Bryan A Stanfill; Ernesto S Nakayasu; Lisa M Bramer; Allison M Thompson; Charles K Ansong; Therese R Clauss; Marina A Gritsenko; Matthew E Monroe; Ronald J Moore; Daniel J Orton; Paul D Piehowski; Athena A Schepmoes; Richard D Smith; Bobbie-Jo M Webb-Robertson; Thomas O Metz
Journal:  Mol Cell Proteomics       Date:  2018-04-17       Impact factor: 7.381

5.  qcML: an exchange format for quality control metrics from mass spectrometry experiments.

Authors:  Mathias Walzer; Lucia Espona Pernas; Sara Nasso; Wout Bittremieux; Sven Nahnsen; Pieter Kelchtermans; Peter Pichler; Henk W P van den Toorn; An Staes; Jonathan Vandenbussche; Michael Mazanek; Thomas Taus; Richard A Scheltema; Christian D Kelstrup; Laurent Gatto; Bas van Breukelen; Stephan Aiche; Dirk Valkenborg; Kris Laukens; Kathryn S Lilley; Jesper V Olsen; Albert J R Heck; Karl Mechtler; Ruedi Aebersold; Kris Gevaert; Juan Antonio Vizcaíno; Henning Hermjakob; Oliver Kohlbacher; Lennart Martens
Journal:  Mol Cell Proteomics       Date:  2014-04-23       Impact factor: 5.911

6.  QCloud: A cloud-based quality control system for mass spectrometry-based proteomics laboratories.

Authors:  Cristina Chiva; Roger Olivella; Eva Borràs; Guadalupe Espadas; Olga Pastor; Amanda Solé; Eduard Sabidó
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

7.  RawBeans: A Simple, Vendor-Independent, Raw-Data Quality-Control Tool.

Authors:  David Morgenstern; Rotem Barzilay; Yishai Levin
Journal:  J Proteome Res       Date:  2021-03-03       Impact factor: 4.466

  7 in total

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