OpenMS: a flexible open-source software platform for mass spectrometry data analysis HL Röst, T Sachsenberg, S Aiche, C Bielow, H Weisser, F Aicheler, ... Nature methods 13 (9), 741-748, 2016 | 622 | 2016 |
Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses G Rosenberger, I Bludau, U Schmitt, M Heusel, CL Hunter, Y Liu, ... Nature methods 14 (9), 921-927, 2017 | 212 | 2017 |
pyOpenMS: a Python‐based interface to the OpenMS mass‐spectrometry algorithm library HL Röst, U Schmitt, R Aebersold, L Malmström Proteomics 14 (1), 74-77, 2014 | 125 | 2014 |
DIANA-algorithmic improvements for analysis of data-independent acquisition MS data J Teleman, H Röst, G Rosenberger, U Schmitt, L Malmström, J Malmström, ... Bioinformatics, btu686, 2014 | 119 | 2014 |
Efficient algorithms for the regularization of dynamic inverse problems: I. Theory U Schmitt, AK Louis Inverse Problems 18 (3), 645, 2002 | 108 | 2002 |
Efficient algorithms for the regularization of dynamic inverse problems: II. Applications U Schmitt, AK Louis, C Wolters, M Vauhkonen Inverse Problems 18 (3), 659, 2002 | 103 | 2002 |
eMZed: an open source framework in Python for rapid and interactive development of LC/MS data analysis workflows P Kiefer, U Schmitt, JA Vorholt Bioinformatics 29 (7), 963-964, 2013 | 62 | 2013 |
Quantitative proteome landscape of the NCI-60 cancer cell lines T Guo, A Luna, VN Rajapakse, CC Koh, Z Wu, W Liu, Y Sun, H Gao, ... Iscience 21, 664-680, 2019 | 49 | 2019 |
Spatio-temporal current density reconstruction (stCDR) from EEG/MEG-data F Darvas, U Schmitt, AK Louis, M Fuchs, G Knoll, H Buchner Brain Topography 13, 195-207, 2001 | 43 | 2001 |
Numerical aspects of spatio-temporal current density reconstruction from EEG-/MEG-data U Schmitt, AK Louis, F Darvas, H Buchner, M Fuchs IEEE transactions on medical imaging 20 (4), 314-324, 2001 | 40 | 2001 |
DynaMet: a fully automated pipeline for dynamic LC–MS data P Kiefer, U Schmitt, JEN Müller, J Hartl, F Meyer, F Ryffel, JA Vorholt Analytical chemistry 87 (19), 9679-9686, 2015 | 22 | 2015 |
Fast and efficient XML data access for next-generation mass spectrometry HL Röst, U Schmitt, R Aebersold, L Malmström PloS one 10 (4), e0125108, 2015 | 22 | 2015 |
ScalaFlux: a scalable approach to quantify fluxes in metabolic subnetworks P Millard, U Schmitt, P Kiefer, JA Vorholt, S Heux, JC Portais PLoS computational biology 16 (4), e1007799, 2020 | 14 | 2020 |
Predicting cosmological observables with PyCosmo F Tarsitano, U Schmitt, A Refregier, J Fluri, R Sgier, A Nicola, J Herbel, ... Astronomy and Computing 36, 100484, 2021 | 12 | 2021 |
Rö st G Rosenberger, I Bludau, U Schmitt, M Heusel, CL Hunter, Y Liu, ... HL, Tate, S., Ting, YS, Collins, BC, and Aebersold, 921-927, 2014 | 12 | 2014 |
Rapid proteotyping reveals cancer biology and drug response determinants in the NCI-60 cells T Guo, A Luna, VN Rajapakse, CC Koh, Z Wu, MP Menden, Y Cheng, ... BioRxiv, 268953, 2018 | 7 | 2018 |
Programmieren in C: Eine mathematikorientierte Einfќhrung R Kirsch, U Schmitt Springer-Verlag, 2007 | 6 | 2007 |
sympy2c: From symbolic expressions to fast C/C++ functions and ODE solvers in Python U Schmitt, B Moser, CS Lorenz, A Refregier Astronomy and Computing 42, 100666, 2023 | 5 | 2023 |
Symbolic implementation of extensions of the PyCosmo Boltzmann solver B Moser, CS Lorenz, U Schmitt, A Refregier, J Fluri, R Sgier, F Tarsitano, ... Astronomy and Computing 40, 100603, 2022 | 5 | 2022 |
STR: a new spatio-temporal approach for accurate and efficient current density reconstruction U Schmitt, CH Wolters, A Anwander, TR Knösche Biomag, 2004 | 2 | 2004 |