MSstats Version 4.0: Statistical Analyses of Quantitative Mass Spectrometry-Based Proteomic Experiments with Chromatography-Based Quantification at Scale

Author:

Kohler Devon1ORCID,Staniak Mateusz2,Tsai Tsung-Heng1ORCID,Huang Ting1,Shulman Nicholas3,Bernhardt Oliver M.4,MacLean Brendan X.3,Nesvizhskii Alexey I.5,Reiter Lukas4ORCID,Sabido Eduard67,Choi Meena1,Vitek Olga1

Affiliation:

1. Khoury College of Computer Science, Northeastern University, Boston, Massachusetts 02115, United States

2. University of Wrocław, Wrocław 50-137, Poland

3. Department of Genome Sciences, University of Washington, Seattle, Washington 98195, United States

4. Biognosys, Zürich 8952, Switzerland

5. Department of Pathology and Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, United States

6. Center for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona 08003, Spain

7. Universitat Pompeu Fabra, Barcelona 08002, Spain

Funder

Division of Biological Infrastructure

Ministerio de Ciencia e Innovación

Chan Zuckerberg Initiative

Horizon 2020 Framework Programme

Generalitat de Catalunya

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

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