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Expanding TheCellVision.org: a central repository for visualizing and mining high-content cell imaging projects.
Masinas, Myra Paz David; Litsios, Athanasios; Razdaibiedina, Anastasia; Usaj, Matej; Boone, Charles; Andrews, Brenda J.
Afiliación
  • Masinas MPD; The Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
  • Litsios A; The Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
  • Razdaibiedina A; The Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
  • Usaj M; Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
  • Boone C; Vector Institute for Artificial Intelligence, Toronto, Ontario M5G 1N1, Canada.
  • Andrews BJ; The Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
Genetics ; 227(1)2024 05 07.
Article en En | MEDLINE | ID: mdl-38518223
ABSTRACT
We previously constructed TheCellVision.org, a central repository for visualizing and mining data from yeast high-content imaging projects. At its inception, TheCellVision.org housed two high-content screening (HCS) projects providing genome-scale protein abundance and localization information for the budding yeast Saccharomyces cerevisiae, as well as a comprehensive analysis of the morphology of its endocytic compartments upon systematic genetic perturbation of each yeast gene. Here, we report on the expansion of TheCellVision.org by the addition of two new HCS projects and the incorporation of new global functionalities. Specifically, TheCellVision.org now hosts images from the Cell Cycle Omics project, which describes genome-scale cell cycle-resolved dynamics in protein localization, protein concentration, gene expression, and translational efficiency in budding yeast. Moreover, it hosts PIFiA, a computational tool for image-based predictions of protein functional annotations. Across all its projects, TheCellVision.org now houses >800,000 microscopy images along with computational tools for exploring both the images and their associated datasets. Together with the newly added global functionalities, which include the ability to query genes in any of the hosted projects using either yeast or human gene names, TheCellVision.org provides an expanding resource for single-cell eukaryotic biology.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Saccharomyces cerevisiae / Minería de Datos Idioma: En Revista: Genetics Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Saccharomyces cerevisiae / Minería de Datos Idioma: En Revista: Genetics Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos