Automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP
MALDI-mass spectrometry imaging (MSI) can reveal the distribution of proteins in tissues but tools for protein identification and annotation are sparse. Here, the authors develop an open-source bioinformatic workflow for false discovery rate-controlled protein annotation and spatial mapping from MAL...
Guardado en:
Autores principales: | G. Guo, M. Papanicolaou, N. J. Demarais, Z. Wang, K. L. Schey, P. Timpson, T. R. Cox, A. C. Grey |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/9f16ad7314d849e8abab580be63964d9 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Computational mass spectrometry-based proteomics.
por: Lukas Käll, et al.
Publicado: (2011) -
Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution
por: Paul D. Piehowski, et al.
Publicado: (2020) -
PyPlutchik: Visualising and comparing emotion-annotated corpora.
por: Alfonso Semeraro, et al.
Publicado: (2021) -
FlavonoidSearch: A system for comprehensive flavonoid annotation by mass spectrometry
por: Nayumi Akimoto, et al.
Publicado: (2017) -
Imaging Mass Spectrometry and Proteome Analysis of Marek’s Disease Virus-Induced Tumors
por: V. I. Pauker, et al.
Publicado: (2019)