Improving Precursor Selectivity in Data-Independent Acquisition Using Overlapping Windows
Improving Precursor Selectivity in Data-Independent Acquisition Using Overlapping Windows
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Contents
A major goal of proteomics research is the accurate and sensitive identification and quantification of a broad range of proteins within a sample. Data-independent acquisition (DIA) approaches that acquire MS/MS spectra independently of precursor information have been developed to overcome the reproducibility challenges of data-dependent acquisition...
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Full title
Improving Precursor Selectivity in Data-Independent Acquisition Using Overlapping Windows
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TN_cdi_proquest_journals_2169501932
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2169501932
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ISSN
1044-0305
E-ISSN
1879-1123
DOI
10.1007/s13361-018-2122-8