Publikationen von Jan Daniel Rudolph

Sinitcyn, P.; Hamzeiy, H.; Salinas Soto, F.; Itzhak, D.; McCarthy, F.; Wichmann, C.; Steger, M.; Ohmayer, U.; Distler, U.; Kaspar-Schoenefeld, S. et al.; Prianichnikov, N.; Yilmaz, S.; Rudolph, J. D.; Tenzer, S.; Perez-Riverol, Y.; Nagaraj, N.; Humphrey, S. J.; Cox, J.: MaxDIA enables library-based and library-free data-independent acquisition proteomics. Nature Biotechnology 39, S. 1563 - 1573 (2021)

Yu, S.-H.; Ferretti, D.; Schessner, J. P.; Rudolph, J. D.; Borner, G. H. H.; Cox, J.: Expanding the Perseus Software for Omics Data Analysis With Custom Plugins. Current protocols in bioinformatics 71 (1), e105 (2020)

Brüning, F.; Noya, S. B.; Bange, T.; Koutsouli, S.; Rudolph, J. D.; Tyagarajan, S.; Cox, J.; Mann, M.; Brown, S. A.; Robles, M. S.: Sleep-wake cycles drive daily dynamics of synaptic phosphorylation. SCIENCE 366 (6462), eaav3617, S. 201 (2019)

Rudolph, J. D.; Cox, J.: A Network Module for the Perseus Software for Computational Proteomics Facilitates Proteome Interaction Graph Analysis. Journal of Proteome Research 18 (5), S. 2052 - 2064 (2019)

Sinitcyn, P.; Rudolph, J. D.; Cox, J.: Computational Methods for Understanding Mass Spectrometry-Based Shotgun Proteomics Data. Annual Review of Biomedical Data Science 1 (1), S. 207 - 234 (2018)

Sinitcyn, P.; Tiwary, S.; Rudolph, J.; Gutenbrunner, P.; Wichmann, C.; Yilmaz, S.; Hamzeiy, H.; Salinas, F.; Cox, J.: MaxQuant goes Linux. Nature methods 15 (6), S. 401 - 401 (2018)

Mattner, L. F.; Rudolph, J. D.; Cox, J.; Schiller, H. B.: Deciphering the functions of phosphoproteomics signaling networks in human lung fibroblasts upon rigidity sensing. In Wound repair and regeneration, 28 (2), S. A8 - A8. WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA (2020)

Rudolph, J.: Development and Application of Software and Algorithms for Network Approaches to Proteomics Data Analysis. Dissertation, Ludwig-Maximilians-Universität, Fakultät für Chemie, München (2019)