Heusel, Moritz

A repository of assays to quantify 10,000 human proteins by SWATH-MS

Rosenberger, G., Koh, C. C., Guo, T., Röst, H. L., Kouvonen, P., Collins, B. C., Heusel, M., Liu, Y., Caron, E., Vichalkovski, A., et al. (2014) · Scientific Data

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 413

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

Rosenberger, G., Bludau, I., Schmitt, U., Heusel, M., Hunter, C. L., Liu, Y., MacCoss, M. J., MacLean, B. X., Nesvizhskii, A. I., Pedrioli, P. G. A., et al. (2017) · Nature Methods

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 203

Complex‐centric proteome profiling by SEC‐SWATH‐MS

Heusel, M., Bludau, I., Rosenberger, G., Hafen, R., Frank, M., Banaei‐Esfahani, A., van Drogen, A., Collins, B. C., Gstaiger, M., & Aebersold, R. (2019) · Molecular Systems Biology

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 141

Complex-centric proteome profiling by SEC-SWATH-MS

Heusel, M., Bludau, I., Rosenberger, G., Hafen, R., Frank, M., Banaei-Esfahani, A., Collins, B., Gstaiger, M., & Aebersold, R. (2018) · Molecular Systems Biology

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 141

Systematic detection of functional proteoform groups from bottom-up proteomic datasets

Bludau, I., Frank, M., Dörig, C., Cai, Y., Heusel, M., Rosenberger, G., Picotti, P., Collins, B. C., Röst, H., & Aebersold, R. (2021) · Nature Communications

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 88

Systematic detection of functional proteoform groups from bottom-up proteomic datasets

Bludau, I., Frank, M., Dörig, C., Cai, Y., Heusel, M., Rosenberger, G., Picotti, P., Collins, B. C., Röst, H., & Aebersold, R. (2020) · Nature Communications

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 88

Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics

Gueto-Tettay, C., Tang, D., Happonen, L., Heusel, M., Khakzad, H., Malmström, J., & Malmström, L. (2023) · PLOS Computational Biology

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 12

Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics

Gueto-Tettay, C., Tang, D., Happonen, L., Heusel, M., Khakzad, H., Malmström, J., & Malmström, L. (2022) · PLoS Computational Biology

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 12