1. A statistical model for identifying Proteins by tandem ms - Nesvizhskii 2003

2. CLiqueMS: A computational tool for annotating in-source metabolite ions... -- Senan 2019

3. A cheminformatics approach to characterize metabolomes in stable-isotope-labeled organisms - tsugawa 2019

4. Metabolioc reaction network-based recursice metabolite annotation for untargeted metabolomics - Shen 2019

Belegt: 5. Mapping lipid Fragmentation for Tailored Mass Spectral Libraries - Hutchins 2019

Belegt: 6. Systematic error removal using random forest for normalizing large-scale untargeted Lipidomics Data - Fan 2019

7. ISiCLE: A quantum chemistry pipeline for establishing in silico collision cross section libraries - Colby 2019

8. Dynamic Spectrum quality assessment and iterative Computational analysis of shotgun proteomic data - Nesvizhskii (mspurity - Lawson,mass spectral library quality assurance by inter-library comparison - wallace)

9. GuacaMol: benchmarking Models for de Novo molecular desgin - Brown 2019

10. Comprehensive tandem-mass-spectrometry coverage of complex samples enabled by data-set dependent acquisition - broeckling 2018



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11. Generalized network dismantling -- Ren 2019