Cargando…
Triqler for Protein Summarization of Data from Data-Independent Acquisition Mass Spectrometry
[Image: see text] A frequent goal, or subgoal, when processing data from a quantitative shotgun proteomics experiment is a list of proteins that are differentially abundant under the examined experimental conditions. Unfortunately, obtaining such a list is a challenging process, as the mass spectrom...
Autores principales: | Truong, Patrick, The, Matthew, Käll, Lukas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088044/ https://www.ncbi.nlm.nih.gov/pubmed/36988210 http://dx.doi.org/10.1021/acs.jproteome.2c00607 |
Ejemplares similares
-
Triqler for MaxQuant: Enhancing Results from MaxQuant
by Bayesian Error Propagation and Integration
por: The, Matthew, et al.
Publicado: (2021) -
Data-independent Acquisition Improves Quantitative Cross-linking Mass Spectrometry
por: Müller, Fränze, et al.
Publicado: (2019) -
DIAmeter: matching peptides to data-independent acquisition mass spectrometry data
por: Lu, Yang Young, et al.
Publicado: (2021) -
Fast, axis-agnostic, dynamically summarized storage and retrieval for mass spectrometry data
por: Handy, Kyle, et al.
Publicado: (2017) -
A Comparative Analysis of Data Analysis Tools for Data-Independent Acquisition Mass Spectrometry
por: Zhang, Fangfei, et al.
Publicado: (2023)