openms (Pfeuffer GmbH)
90
Structured Review
Pfeuffer GmbH
openms
Openms, supplied by Pfeuffer GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/visualization+toolkit+(vtk)+open-source+software+module/openms/pm35503992-145-64-32
Average 90 stars, based on 1 article reviews
Openms, supplied by Pfeuffer GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/visualization+toolkit+(vtk)+open-source+software+module/openms/pm35503992-145-64-32
Average 90 stars, based on 1 article reviews
openms - by Bioz Stars,
2026-09
90/100 stars
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Mass Spectrometry:Article Title: MSCI: an open-source Python package for information content assessment of peptide fragmentation spectra Article Snippet: .. The MSCI Python package relies on state-of-the-art proteomics mass spectrometry Python libraries such as matchms ( Huber et al. 2021 ), Pyteomics ( Goloborodko et al. 2013 ), and Article Title: Reproducible MS/MS library cleaning pipeline in matchms. Article Snippet: .. Pfeuffer J, Bielow C, Wein S, Jeong K, Netz E, Walter A, Alka O, Nilse L, Colaianni PD, Article Title: OpenMS WebApps: Building User-Friendly Solutions for MS Analysis. Article Snippet: .. PROTEOMICS 2014, 14 (1), 74−77. (2) Pfeuffer, J.; et al. Article Title: Cysteine-Directed Isobaric Labeling Combined with GeLC-FAIMS-MS for Quantitative Top-Down Proteomics. Article Snippet: .. 2012, 30, 918−920. (33) Pfeuffer, J.; Bielow, C.; Wein, S.; Jeong, K.; Netz, E.; Walter, A.; Alka, O.; Nilse, L.; Colaianni, P. D.; McCloskey, D.; et al. Article Title: Open-Source and FAIR Research Software for Proteomics. Article Snippet: .. 2010, 20 (9), 1297−1303. (29) Pfeuffer, J.; Bielow, C.; Wein, S.; Jeong, K.; Netz, E.; Walter, A.; Alka, O.; Nilse, L.; Colaianni, P. D.; McCloskey, D.; et al. other:Article Title: MSConnect: Open-Source, End-to-End Platform for Automated Mass Spectrometry Data Management, Analysis, and Visualization. Article Snippet: The scale of mass spectrometry-based proteomics data sets continues to increase, and the analysis workflows are becoming more complex as various steps are carried out using a multitude of software programs developed by both commercial providers and the research community.. Manually shepherding data across multiple programs and in-house-developed scripts can be error prone and labor intensive.. It is also difficult for others to follow the same steps, leading to poor repeatability. Article Title: Comprehensive Mass Spectrometry Workflows to Systematically Elucidate Transformation Processes of Organic Micropollutants: A Case Study on the Photodegradation of Four Pharmaceuticals. Article Snippet: Article Title: Machine Learning-based Classification for the Prioritization of Potentially Hazardous Chemicals with Structural Alerts in Nontarget Screening. Article Snippet: 2021, 13 (1), 1. (55) Rost, H. L.; |