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Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses

08:01 EDT 22 Aug 2017 | Nature Publishing

The statistical concepts for false discovery rate control long applied in the field of data-dependent acquisition (DDA) mass spectrometry-based proteomics can be adapted for the emerging technique of data-independent acquisition (DIA) mass spectrometry.

Original Article: Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses

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