Dataset containing physiological amounts of spike-in proteins into murine C2C12 background as a ground truth quantitative LC-MS/MS reference

Uszkoreit, Julian; Barkovits, Katalin; Pacharra, Sandra; Pfeiffer, Kathy; Steinbach, Simone; Marcus, Katrin; Eisenacher, Martin

doi:10.1016/j.dib.2022.108435

Public

Dataset containing physiological amounts of spike-in proteins into murine C2C12 background as a ground truth quantitative LC-MS/MS reference

Published in Data in Brief • Jul 4, 2022

Authors:

Julian Uszkoreit

Katalin Barkovits

Sandra Pacharra

Abstract

In this article, we present a data dependent acquisition (DDA) dataset which was generated as a reference and ground truth quantitative dataset. While initially used to compare samples measured with DDA and data independent acquisition (DIA) (Barkovits et al., 2020), the presented dataset holds pote...

Subject

Ground truth

Chemistry

Fragmentation (computing)

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