metaSpectraST: an unsupervised and database-independent analysis workflow for metaproteomic MS/MS data using spectrum clustering

BACKGROUND: The high diversity and complexity of the microbial community make it a formidable challenge to identify and quantify the large number of proteins expressed in the community. Conventional metaproteomics approaches largely rely on accurate identification of the MS/MS spectra to their corre...

Descripción completa

Detalles Bibliográficos
Autores principales: Hao, Chunlin, Elias, Joshua E., Lee, Patrick K. H., Lam, Henry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405559/
https://www.ncbi.nlm.nih.gov/pubmed/37550758
http://dx.doi.org/10.1186/s40168-023-01602-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405559/
https://www.ncbi.nlm.nih.gov/pubmed/37550758
http://dx.doi.org/10.1186/s40168-023-01602-1

Ejemplares similares