Cargando…
pyQms enables universal and accurate quantification of mass spectrometry data
Quantitative mass spectrometry (MS) is a key technique in many research areas (1), including proteomics, metabolomics, glycomics, and lipidomics. Because all of the corresponding molecules can be described by chemical formulas, universal quantification tools are highly desirable. Here, we present py...
Autores principales: | Leufken, Johannes, Niehues, Anna, Sarin, L. Peter, Wessel, Florian, Hippler, Michael, Leidel, Sebastian A., Fufezan, Christian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Biochemistry and Molecular Biology
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5629261/ https://www.ncbi.nlm.nih.gov/pubmed/28729385 http://dx.doi.org/10.1074/mcp.M117.068007 |
Ejemplares similares
-
IonQuant Enables Accurate and Sensitive Label-Free Quantification With FDR-Controlled Match-Between-Runs
por: Yu, Fengchao, et al.
Publicado: (2021) -
Accurate Label-Free Quantification by directLFQ to Compare Unlimited Numbers of Proteomes
por: Ammar, Constantin, et al.
Publicado: (2023) -
Automated Label-free Quantification of Metabolites from Liquid Chromatography–Mass Spectrometry Data
por: Kenar, Erhan, et al.
Publicado: (2014) -
Fast and Accurate Bacterial Species Identification in Urine Specimens Using LC-MS/MS Mass Spectrometry and Machine Learning
por: Roux-Dalvai, Florence, et al.
Publicado: (2019) -
Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ
por: Cox, Jürgen, et al.
Publicado: (2014)