An efficient data format for mass spectrometry-based proteomics-Reference-Cited by-同舟云学术

An efficient data format for mass spectrometry-based proteomics

Published:2010-10-01 Issue:10 Volume:21 Page:1784-1788
ISSN:1044-0305
Container-title:Journal of the American Society for Mass Spectrometry
language:en
Short-container-title:J. Am. Soc. Mass Spectrom.

Author:

Shah Anuj R.¹,Davidson Jennifer²,Monroe Matthew E.¹,Mayampurath Anoop M.³,Danielson William F.¹,Shi Yan¹,Robinson Aaron C.¹,Clowers Brian H.⁴,Belov Mikhail E.¹,Anderson Gordon A.¹,Smith Richard D.¹

Affiliation:

1. Fundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA

2. Department of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon, USA

3. School of Informatics and Computing, Indiana University, Bloomington, Indiana, USA

4. National Security Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA

Publisher

American Chemical Society (ACS)

Subject

Spectroscopy,Structural Biology

Link

https://pubs.acs.org/doi/pdf/10.1016/j.jasms.2010.06.014

Reference17 articles.

1. Watson, J. T.; Sparkman, O. D. Introduction to Mass Spectrometry: Instrumentation, Applications and Strategies for Data Interpretation, 4th Edition; Wiley InterScience: 2007.

2. PROTEIOS: an open source proteomics initiative

3. mzAPI: a new strategy for efficiently sharing mass spectrometry data

4. mzML: A single, unifying data format for mass spectrometer output

5. ProteomeCommons.org IO Framework: reading and writing multiple proteomics data formats

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