Using Data Independent Acquisition (DIA) to Model High-responding Peptides for Targeted Proteomics Experiments
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Using Data Independent Acquisition (DIA) to Model High-responding Peptides for Targeted Proteomics Experiments
Authors
Keywords
-
Journal
MOLECULAR & CELLULAR PROTEOMICS
Volume 14, Issue 9, Pages 2331-2340
Publisher
American Society for Biochemistry & Molecular Biology (ASBMB)
Online
2015-06-23
DOI
10.1074/mcp.m115.051300
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multiplexed peptide analysis using data-independent acquisition and Skyline
- (2015) Jarrett D Egertson et al. Nature Protocols
- Abundance-based Classifier for the Prediction of Mass Spectrometric Peptide Detectability Upon Enrichment (PPA)
- (2014) Jan Muntel et al. MOLECULAR & CELLULAR PROTEOMICS
- Targeted Quantitation of Proteins by Mass Spectrometry
- (2013) Daniel C. Liebler et al. BIOCHEMISTRY
- Selected reaction monitoring–based proteomics: workflows, potential, pitfalls and future directions
- (2012) Paola Picotti et al. NATURE METHODS
- Targeted proteomics
- (2012) Vivien Marx NATURE METHODS
- The development of selected reaction monitoring methods for targeted proteomics via empirical refinement
- (2012) Michael S. Bereman et al. PROTEOMICS
- Improving SRM Assay Development: A Global Comparison between Triple Quadrupole, Ion Trap, and Higher Energy CID Peptide Fragmentation Spectra
- (2011) Erik L. de Graaf et al. JOURNAL OF PROTEOME RESEARCH
- CONSeQuence: Prediction of Reference Peptides for Absolute Quantitative Proteomics Using Consensus Machine Learning Approaches
- (2011) Claire E. Eyers et al. MOLECULAR & CELLULAR PROTEOMICS
- Global quantification of mammalian gene expression control
- (2011) Björn Schwanhäusser et al. NATURE
- Rapid empirical discovery of optimal peptides for targeted proteomics
- (2011) Andrew B Stergachis et al. NATURE METHODS
- Skyline: an open source document editor for creating and analyzing targeted proteomics experiments
- (2010) Brendan MacLean et al. BIOINFORMATICS
- Expediting the Development of Targeted SRM Assays: Using Data from Shotgun Proteomics to Automate Method Development
- (2009) Amol Prakash et al. JOURNAL OF PROTEOME RESEARCH
- Comparison of Database Search Strategies for High Precursor Mass Accuracy MS/MS Data
- (2009) Edward J. Hsieh et al. JOURNAL OF PROTEOME RESEARCH
- Prediction of high-responding peptides for targeted protein assays by mass spectrometry
- (2009) Vincent A Fusaro et al. NATURE BIOTECHNOLOGY
- MRMaid, the Web-based Tool for Designing Multiple Reaction Monitoring (MRM) Transitions
- (2008) Jennifer A. Mead et al. MOLECULAR & CELLULAR PROTEOMICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started