Cargando…
HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens
SUMMARY: Arrayed high-throughput screens (HTS) cover a broad range of applications using RNAi or small molecules as perturbations and specialized software packages for statistical analysis have become available. However, exploratory data analysis and integration of screening results has remained cha...
Autores principales: | Scheeder, Christian, Heigwer, Florian, Boutros, Michael |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870698/ https://www.ncbi.nlm.nih.gov/pubmed/28505270 http://dx.doi.org/10.1093/bioinformatics/btx319 |
Ejemplares similares
-
HTML5 PivotViewer: high-throughput visualization and querying of image data on the web
por: Taylor, Stephen, et al.
Publicado: (2014) -
Machine learning and image-based profiling in drug discovery
por: Scheeder, Christian, et al.
Publicado: (2018) -
PanExplorer: a web-based tool for exploratory analysis and visualization of bacterial pan-genomes
por: Dereeper, Alexis, et al.
Publicado: (2022) -
beeRapp: an R shiny app for automated high-throughput explorative analysis of multivariate behavioral data
por: Busch, Anne Marie, et al.
Publicado: (2022) -
Research and Exploratory Analysis Driven—Time-data Visualization (read-tv) software
por: Del Gaizo, John, et al.
Publicado: (2021)