Theo dõi
Matthew The
Matthew The
TU Munich
Email được xác minh tại tum.de - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Fast and accurate protein false discovery rates on large-scale proteomics data sets with percolator 3.0
M The, MJ MacCoss, WS Noble, L Käll
Journal of The American Society for Mass Spectrometry 27 (11), 1719-1727, 2016
3302016
Decrypting drug actions and protein modifications by dose-and time-resolved proteomics
J Zecha, FP Bayer, S Wiechmann, J Woortman, N Berner, J Müller, ...
Science 380 (6640), 93-101, 2023
592023
ProteomicsDB: toward a FAIR open-source resource for life-science research
L Lautenbacher, P Samaras, J Muller, A Grafberger, M Shraideh, J Rank, ...
Nucleic Acids Research, 2021
522021
Mass spectrometry-based draft of the mouse proteome
P Giansanti, P Samaras, Y Bian, C Meng, A Coluccio, M Frejno, ...
Nature methods 19 (7), 803-811, 2022
462022
How to talk about protein‐level false discovery rates in shotgun proteomics
M The, A Tasnim, L Käll
Proteomics 16 (18), 2461-2469, 2016
402016
The one-carbon pool controls mitochondrial energy metabolism via complex I and iron-sulfur clusters
FA Schober, D Moore, I Atanassov, MF Moedas, P Clemente, Á Végvári, ...
Science Advances 7 (8), eabf0717, 2021
392021
MaRaCluster: A fragment rarity metric for clustering fragment spectra in shotgun proteomics
M The, L Käll
Journal of proteome research 15 (3), 713-720, 2016
362016
Oktoberfest: Open‐source spectral library generation and rescoring pipeline based on Prosit
M Picciani, W Gabriel, VG Giurcoiu, O Shouman, F Hamood, ...
Proteomics 24 (8), 2300112, 2024
312024
Identification of 7 000–9 000 Proteins from Cell Lines and Tissues by Single-Shot Microflow LC–MS/MS
Y Bian, M The, P Giansanti, J Mergner, R Zheng, M Wilhelm, A Boychenko, ...
Analytical chemistry 93 (25), 8687-8692, 2021
312021
Integrated identification and quantification error probabilities for shotgun proteomics
M The, L Käll
Molecular & Cellular Proteomics 18 (3), 561-570, 2019
292019
Uncertainty estimation of predictions of peptides’ chromatographic retention times in shotgun proteomics
H Maboudi Afkham, X Qiu, M The, L Käll
Bioinformatics 33 (4), 508-513, 2017
272017
Prosit-TMT: deep learning boosts identification of TMT-labeled peptides
W Gabriel, M The, DP Zolg, FP Bayer, O Shouman, L Lautenbacher, ...
Analytical Chemistry 94 (20), 7181-7190, 2022
232022
Evaluation of disposable trap column nanoLC–FAIMS–MS/MS for the proteomic analysis of FFPE tissue
S Eckert, YC Chang, FP Bayer, M The, PH Kuhn, W Weichert, B Kuster
Journal of proteome research 20 (12), 5402-5411, 2021
212021
Focus on the spectra that matter by clustering of quantification data in shotgun proteomics
M The, L Käll
Nature Communications 11 (1), 1-12, 2020
202020
A protein standard that emulates homology for the characterization of protein inference algorithms
M The, F Edfors, Y Perez-Riverol, SH Payne, MR Hoopmann, M Palmblad, ...
Journal of proteome research 17 (5), 1879-1886, 2018
202018
Reanalysis of ProteomicsDB Using an Accurate, Sensitive, and Scalable False Discovery Rate Estimation Approach for Protein Groups
M The, P Samaras, B Kuster, M Wilhelm
Molecular & Cellular Proteomics 21 (12), 2022
182022
A region‐resolved proteomic map of the human brain enabled by high‐throughput proteomics
J Tüshaus, A Sakhteman, S Lechner, M The, E Mucha, C Krisp, J Schlegel, ...
The EMBO Journal 42 (23), e114665, 2023
172023
SIMSI-Transfer: Software-assisted reduction of missing values in phosphoproteomic and proteomic isobaric labeling data using tandem mass spectrum clustering
F Hamood, FP Bayer, M Wilhelm, B Kuster, M The
Molecular & Cellular Proteomics 21 (8), 2022
132022
CurveCurator: a recalibrated F-statistic to assess, classify, and explore significance of dose–response curves
FP Bayer, M Gander, B Kuster, M The
Nature Communications 14 (1), 7902, 2023
112023
Speeding up percolator
JT Halloran, H Zhang, K Kara, C Renggli, M The, C Zhang, DM Rocke, ...
Journal of proteome research 18 (9), 3353-3359, 2019
102019
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