| 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 | 613 | 2016 |
| An automated pipeline for high-throughput label-free quantitative proteomics H Weisser, S Nahnsen, J Grossmann, L Nilse, A Quandt, H Brauer, ... Journal of proteome research 12 (4), 1628-1644, 2013 | 181 | 2013 |
| OpenMS–a platform for reproducible analysis of mass spectrometry data J Pfeuffer, T Sachsenberg, O Alka, M Walzer, A Fillbrunn, L Nilse, ... Journal of biotechnology 261, 142-148, 2017 | 90 | 2017 |
| Disseminated tumor cells persist in the bone marrow of breast cancer patients through sustained activation of the unfolded protein response K Bartkowiak, M Kwiatkowski, F Buck, TM Gorges, L Nilse, V Assmann, ... Cancer research 75 (24), 5367-5377, 2015 | 75 | 2015 |
| Synchronous tuning of extended cavity diode lasers: the case for an optimum pivot point L Nilse, HJ Davies, CS Adams Applied optics 38 (3), 548-553, 1999 | 56 | 1999 |
| Quantization and high energy unitarity of 5D orbifold theories with brane kinetic terms A Mück, L Nilse, A Pilaftsis, R Rückl Physical Review D 71 (6), 066004, 2005 | 28 | 2005 |
| Classification of 1D and 2D orbifolds L Nilse AIP Conference Proceedings 903 (1), 411-414, 2007 | 27 | 2007 |
| Formalin-fixed, paraffin-embedded tissues (FFPE) as a robust source for the profiling of native and protease-generated protein amino termini ZW Lai, J Weisser, L Nilse, F Costa, E Keller, M Tholen, JN Kizhakkedathu, ... Molecular & Cellular Proteomics 15 (6), 2203-2213, 2016 | 17 | 2016 |
| Toward improved peptide feature detection in quantitative proteomics using stable isotope labeling L Nilse, FC Sigloch, ML Biniossek, O Schilling PROTEOMICS–Clinical Applications 9 (7-8), 706-714, 2015 | 16 | 2015 |
| SILACAnalyzer-a tool for differential quantitation of stable isotope derived data L Nilse, M Sturm, D Trudgian, M Salek, PFG Sims, KM Carroll, ... Computational Intelligence Methods for Bioinformatics and Biostatistics: 6th …, 2010 | 13 | 2010 |
| Proteome informatics C Bessant Royal Society of Chemistry, 2016 | 6 | 2016 |
| Yeast membrane proteomics using leucine metabolic labelling: Bioinformatic data processing and exemplary application to the ER-intramembrane protease Ypf1 L Nilse, D Avci, P Heisterkamp, O Serang, MK Lemberg, O Schilling Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1864 (10), 1363-1371, 2016 | 5 | 2016 |
| OpenMS: a modular, open-source workflow system for the analysis of quantitative proteomics data L Nilse | 2 | 2016 |
| OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data J Pfeuffer, C Bielow, S Wein, K Jeong, E Netz, A Walter, O Alka, L Nilse, ... Nature Methods, 1-3, 2024 | | 2024 |
| OpenMS 3 expands the frontiers of open-source computational mass spectrometry T Sachsenberg, J Pfeuffer, C Bielow, S Wein, K Jeong, E Netz, A Walter, ... | | 2023 |
| Reliable protein quantification in the OpenMS software framework L Nilse, O Schilling, M Biniossek MOLECULAR & CELLULAR PROTEOMICS 16 (8), S32-S32, 2017 | | 2017 |
| Yeast membrane proteomics using leucine metabolic labelling L Nilse, D Avci, P Heisterkamp, O Serang, M Lemberg, O Schilling | | 2016 |
| Quantization and high energy unitarity of 5D orbifold theories with brane kinetic terms. L Nilse, A Pilaftsis, RM Ruckl | | 2005 |
| Quantization and high energy unitarity in orbifold theories L Nilse PQDT-Global, 2005 | | 2005 |
| SILACAnalyzer-a tool for quantitation of stable isotope labelled proteomics data L Nilse, H Plattfaut, S Sass, D Trudgian, O Kohlbacher | | |
