Cargando…
IonQuant Enables Accurate and Sensitive Label-Free Quantification With FDR-Controlled Match-Between-Runs
Missing values weaken the power of label-free quantitative proteomic experiments to uncover true quantitative differences between biological samples or experimental conditions. Match-between-runs (MBR) has become a common approach to mitigate the missing value problem, where peptides identified by t...
Autores principales: | Yu, Fengchao, Haynes, Sarah E., Nesvizhskii, Alexey I. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Biochemistry and Molecular Biology
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131922/ https://www.ncbi.nlm.nih.gov/pubmed/33813065 http://dx.doi.org/10.1016/j.mcpro.2021.100077 |
Ejemplares similares
-
Fast Quantitative Analysis of timsTOF PASEF Data with MSFragger and IonQuant
por: Yu, Fengchao, et al.
Publicado: (2020) -
MaxQuant.Live Enables Global Targeting of More Than 25,000 Peptides
por: Wichmann, Christoph, et al.
Publicado: (2019) -
Quantitative Cross-linking/Mass Spectrometry Using Isotope-labeled Cross-linkers and MaxQuant
por: Chen, Zhuo A., et al.
Publicado: (2016) -
pyQms enables universal and accurate quantification of mass spectrometry data
por: Leufken, Johannes, et al.
Publicado: (2017) -
Accurate Label-Free Quantification by directLFQ to Compare Unlimited Numbers of Proteomes
por: Ammar, Constantin, et al.
Publicado: (2023)