Intra-Ramanome Correlation Analysis Unveils Metabolite Conversion Network from an Isogenic Population of Cells

To reveal the dynamic features of cellular systems, such as the correlation among phenotypes, a time or condition series set of samples is typically required. Here, we propose intra-ramanome correlation analysis (IRCA) to achieve this goal from just one snapshot of an isogenic population, via pairwi...

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Detalles Bibliográficos
Autores principales: He, Yuehui, Huang, Shi, Zhang, Peng, Ji, Yuetong, Xu, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406334/
https://www.ncbi.nlm.nih.gov/pubmed/34465024
http://dx.doi.org/10.1128/mBio.01470-21

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406334/
https://www.ncbi.nlm.nih.gov/pubmed/34465024
http://dx.doi.org/10.1128/mBio.01470-21

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