(Q50994907)

26 March 2018

title

Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam principles). (English)

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Henning Hermjakob

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Gil Omenn

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Peipei Ping

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Richard Simpson

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Richard D. Smith

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Eric W Deutsch

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Eric W Deutsch

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Robert L Moritz

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David Tabb

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David L Tabb

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Henry Daniel Ponce-Rodríguez

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Henry Rodriguez

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Christoph H Borchers

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Christoph H Borchers

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Patrik Kolar

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Patrik Kolar

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Richard S. Stein

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Stephen E Stein

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Christopher R Kinsinger

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Christopher R Kinsinger

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James Apffel

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James Apffel

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Xiaopeng Bian

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Xiaopeng Bian

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Mi-Youn Brusniak

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Mi-Youn Brusniak

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Bruno Domon

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Bruno Domon

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Rudolf Grimm

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Rudolf Grimm

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Hanno Langen

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Hanno Langen

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Ron Orlando

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Ron Orlando

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Douglas Slotta

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Douglas Slotta

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Danilo A Tagle

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Danilo Tagle

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author name string

Ralph Bradshaw

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Daniel W Chan

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Jeff Gorman

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William Hancock

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David Horn

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Christie Hunter

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Hans-Joachim Kraus

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Rune Linding

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Akhilesh Pandey

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Amir Rahbar

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Robert Rivers

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Sean L Seymour

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John R Yates

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publication date

14 December 2011

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26 March 2018

published in

Proteomics

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volume

12

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issue

1

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page(s)

11-20

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26 March 2018

Minimum information about a microarray experiment (MIAME)-toward standards for microarray data

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Recommendations from the 2008 International Summit on Proteomics Data Release and Sharing Policy: the Amsterdam principles

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Integrated pipeline for mass spectrometry-based discovery and confirmation of biomarkers demonstrated in a mouse model of breast cancer.

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PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows

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Interlaboratory study characterizing a yeast performance standard for benchmarking LC-MS platform performance.

21 January 2018

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Multi-site assessment of the precision and reproducibility of multiple reaction monitoring-based measurements of proteins in plasma

21 January 2018

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High-throughput generation of selected reaction-monitoring assays for proteins and proteomes

21 January 2018

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The standard protein mix database: a diverse data set to assist in the production of improved Peptide and protein identification software tools

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A statistical model for identifying proteins by tandem mass spectrometry

21 January 2018

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https://api.crossref.org/works/10.1002%2FPMIC.201100562

21 January 2018

Identifiers

DOI

10.1002/PMIC.201100562

1 reference

26 March 2018

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26 March 2018