Rapid Development of Improved Data-Dependent Acquisition Strategies
暂无分享,去创建一个
Vinny Davies | Joe Wandy | Stefan Weidt | Justin J. J. van der Hooft | Alice Miller | Rónán Daly | Simon Rogers | S. Rogers | J. V. D. van der Hooft | Stefan Weidt | Joe Wandy | R. Daly | Vinny Davies | Alice Miller | S. Weidt | Simon Rogers
[1] R. Abagyan,et al. XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification. , 2006, Analytical chemistry.
[2] Juho Rousu,et al. SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information , 2019, Nature Methods.
[3] M. Senko,et al. Novel parallelized quadrupole/linear ion trap/Orbitrap tribrid mass spectrometer improving proteome coverage and peptide identification rates. , 2013, Analytical chemistry.
[4] Tao Huan,et al. Comparison of Full-Scan, Data-Dependent, and Data-Independent Acquisition Modes in Liquid Chromatography-Mass Spectrometry Based Untargeted Metabolomics. , 2020, Analytical chemistry.
[5] Keith Richardson,et al. Comprehensive Tandem-Mass-Spectrometry Coverage of Complex Samples Enabled by Data-Set-Dependent Acquisition. , 2018, Analytical chemistry.
[6] Matej Oresic,et al. MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data , 2010, BMC Bioinformatics.
[7] 易美济. 科学仪器公司Thermo Fisher Scientific正式起航 , 2007 .
[8] Joe Wandy,et al. Topic modeling for untargeted substructure exploration in metabolomics , 2016, Proceedings of the National Academy of Sciences.
[9] Kristian Fog Nielsen,et al. Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking , 2016, Nature Biotechnology.
[10] Vinny Davies,et al. In Silico Optimization of Mass Spectrometry Fragmentation Strategies in Metabolomics , 2019, Metabolites.
[11] Steffen Neumann,et al. Highly sensitive feature detection for high resolution LC/MS , 2008, BMC Bioinformatics.
[12] Zhiwei Zhou,et al. MS-DIAL 4: accelerating lipidomics using an MS/MS, CCS, and retention time atlas , 2020, bioRxiv.
[13] V. Yanshole,et al. Deep learning for the precise peak detection in high-resolution LC-MS data. , 2019, Analytical chemistry.
[14] Carin Li,et al. CFM-ID 3.0: Significantly Improved ESI-MS/MS Prediction and Compound Identification , 2019, Metabolites.