Cargando…
MS-DAP Platform for Downstream Data Analysis of Label-Free Proteomics Uncovers Optimal Workflows in Benchmark Data Sets and Increased Sensitivity in Analysis of Alzheimer’s Biomarker Data
[Image: see text] In the rapidly moving proteomics field, a diverse patchwork of data analysis pipelines and algorithms for data normalization and differential expression analysis is used by the community. We generated a mass spectrometry downstream analysis pipeline (MS-DAP) that integrates both po...
Autores principales: | Koopmans, Frank, Li, Ka Wan, Klaassen, Remco V., Smit, August B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9903323/ https://www.ncbi.nlm.nih.gov/pubmed/36541440 http://dx.doi.org/10.1021/acs.jproteome.2c00513 |
Ejemplares similares
-
Workflows for automated downstream data analysis and visualization in large-scale computational mass spectrometry
por: Aiche, Stephan, et al.
Publicado: (2015) -
AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data
por: Koopmans, Bastijn, et al.
Publicado: (2017) -
Recent Developments in Data Independent Acquisition (DIA) Mass Spectrometry: Application of Quantitative Analysis of the Brain Proteome
por: Li, Ka Wan, et al.
Publicado: (2020) -
Principles for data analysis workflows
por: Stoudt, Sara, et al.
Publicado: (2021) -
Benchmarking of RNA-sequencing analysis workflows using whole-transcriptome RT-qPCR expression data
por: Everaert, Celine, et al.
Publicado: (2017)