Your browser doesn't support javascript.
loading
TheCellVision.org: A Database for Visualizing and Mining High-Content Cell Imaging Projects.
Masinas, Myra Paz David; Usaj, Mojca Mattiazzi; Usaj, Matej; Boone, Charles; Andrews, Brenda J.
Afiliação
  • Masinas MPD; The Donnelly Centre, University of Toronto, Ontario, M5S 3E1, Canada.
  • Usaj MM; The Donnelly Centre, University of Toronto, Ontario, M5S 3E1, Canada m.mattiazziusaj@utoronto.ca charlie.boone@utoronto.ca brenda.andrews@utoronto.ca.
  • Usaj M; The Donnelly Centre, University of Toronto, Ontario, M5S 3E1, Canada.
  • Boone C; The Donnelly Centre, University of Toronto, Ontario, M5S 3E1, Canada m.mattiazziusaj@utoronto.ca charlie.boone@utoronto.ca brenda.andrews@utoronto.ca.
  • Andrews BJ; Department of Molecular Genetics, University of Toronto, Ontario, M5S 3E1, Canada.
G3 (Bethesda) ; 10(11): 3969-3976, 2020 11 05.
Article em En | MEDLINE | ID: mdl-32934016
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 TheCelllVision.org enables new discovery and independent re-analyses of imaging data.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Saccharomycetales Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Saccharomycetales Limite: Animals Idioma: En Ano de publicação: 2020 Tipo de documento: Article