Authors: Xuan, Yue; Bateman, Nicholas W.; Gallien, Sebastien; Goetze, Sandra; Zhou, Yue; Navarro, Pedro; Hu, Mo; Parikh, Niyati; Hood, Brian L.; Conrads, Kelly A.; Loosse, Christina; Kitata, Reta Birhanu; Piersma, Sander R.; Chiasserini, Davide; Zhu, Hongwen; Hou, Guixue; Tahir, Muhammad; Macklin, Andrew; Khoo, Amanda; Sun, Xiuxuan; Crossett, Ben; Sickmann, Albert; Chen, Yu-Ju; Jimenez, Connie R.; Zhou, Hu; Liu, Siqi; Larsen, Martin R.; Kislinger, Thomas; Chen, Zhinan; Parker, Benjamin L.; Cordwell, Stuart J.; Wollscheid, Bernd; Conrads, Thomas P.
Venue: N/A
Type: Publication
Abstract: AbstractCancer has no borders: Generation and analysis of molecular data across multiple centers worldwide is necessary to gain statistically significant clinical insights for the benefit of patients. Here we conceived and standardized a proteotype data generation and analysis workflow enabling distributed data generation and evaluated the quantitative data generated across laboratories of the international Cancer Moonshot consortium. Using harmonized mass spectrometry (MS) instrument platforms and standardized data acquisition procedures, we d...
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Topics: 
Data science
Medical physics
Data mining
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