Cargando…
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...
Autores principales: | Balomenos, Athanasios D., Stefanou, Victoria, Manolakos, Elias S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
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 |
Ejemplares similares
-
Image analysis driven single-cell analytics for systems microbiology
por: Balomenos, Athanasios D., et al.
Publicado: (2017) -
Hawkeye: an interactive visual analytics tool for genome assemblies
por: Schatz, Michael C, et al.
Publicado: (2007) -
BactImAS: a platform for processing and analysis of bacterial time-lapse microscopy movies
por: Mekterović, Igor, et al.
Publicado: (2014) -
Asc-Seurat: analytical single-cell Seurat-based web application
por: Pereira, W. J., et al.
Publicado: (2021) -
Single Cell Explorer, collaboration-driven tools to leverage large-scale single cell RNA-seq data
por: Feng, Di, et al.
Publicado: (2019)