TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects
| Autor: | Brenda J. Andrews, Matej Usaj, Charles Boone, Mojca Mattiazzi Usaj, Myra Paz David Masinas |
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| Rok vydání: | 2020 |
| Předmět: |
quantitative image analysis
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION High throughput imaging subcellular morphology Computational biology Saccharomyces cerevisiae QH426-470 Biology Software and Data Resources high-content screening Genome engineering 03 medical and health sciences 0302 clinical medicine subcellular localization Genetics Animals penetrance Molecular Biology Genetics (clinical) 030304 developmental biology 0303 health sciences Internet protein abundance Proteins Budding yeast Protein subcellular localization prediction Visualization Protein Transport ComputingMethodologies_PATTERNRECOGNITION Microscopy Fluorescence Feature (computer vision) High-content screening image analysis tools Saccharomycetales Protein abundance 030217 neurology & neurosurgery |
| Zdroj: | G3: Genes|Genomes|Genetics G3: Genes, Genomes, Genetics, Vol 10, Iss 11, Pp 3969-3976 (2020) |
| ISSN: | 2160-1836 |
| Popis: | Advances in genome engineering and high throughput imaging technologies have enabled genome-scale screens of single cells for a variety of phenotypes, including subcellular morphology and protein localization. We constructed TheCellVision.org, a freely available and web-accessible image visualization and data browsing tool that serves as a central repository for fluorescence microscopy images and associated quantitative data produced by high-content screening experiments. Currently, TheCellVision.org hosts 575,590 images and associated analysis results from two published high-content screening (HCS) projects focused on the budding yeast Saccharomyces cerevisiae. TheCellVision.org allows users to access, visualize and explore fluorescence microscopy images, and to search, compare, and extract data related to subcellular compartment morphology, protein abundance, and localization. Each dataset can be queried independently or as part of a search across multiple datasets using the advanced search option. The website also hosts computational tools associated with the available datasets, which can be applied to other projects and cell systems, a feature we demonstrate using published images of mammalian cells. Providing access to HCS data through websites such as TheCellVision.org enables new discovery and independent re-analyses of imaging data. |
| Databáze: | OpenAIRE |
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