Analytics and visualization tools to characterize single-cell stochasticity using bacterial single-cell movie cytometry data

BACKGROUND: Time-lapse microscopy live-cell imaging is essential for studying the evolution of bacterial communities at single-cell resolution. It allows capturing detailed information about the morphology, gene expression, and spatial characteristics of individual cells at every time instance of th...

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Detalles Bibliográficos
Autores principales: Balomenos, Athanasios D., Stefanou, Victoria, Manolakos, Elias S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557071/
https://www.ncbi.nlm.nih.gov/pubmed/34715773
http://dx.doi.org/10.1186/s12859-021-04409-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557071/
https://www.ncbi.nlm.nih.gov/pubmed/34715773
http://dx.doi.org/10.1186/s12859-021-04409-9

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