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    CReSCENT: CanceR Single Cell ExpressioN Toolkit
    Digital AssetAvailable

    CReSCENT: CanceR Single Cell ExpressioN Toolkit

    Faculty of Medicine and Health Sciences
    Core Facility
    McGill University

    CReSCENT is a web-based platform developed collaboratively by Dr. Trevor Pugh's team at the University Health Network (UHN) and Dr. Michael Brudno's team at The Hospital for Sick Children. It is designed to facilitate the analysis and visualization of single-cell RNA sequencing (scRNA-seq) data, particularly in cancer research. CReSCENT aims to make advanced single-cell analysis accessible to researchers, including those without extensive computational expertise.

    Key Features:

    • User-Friendly Interface: Provides an intuitive web portal that allows users to perform standardized scRNA-seq data analysis without the need for complex installations or command-line interactions.
    • Preconfigured Pipelines: Incorporates containerized pipelines based on the Seurat R toolkit, enabling users to process and analyze scRNA-seq data through standardized workflows. These pipelines are user-editable, allowing optimization and customization for specific experimental needs.
    • Public and Private Data Handling: Utilizes public datasets for comparative analysis and benchmarking. Users can also upload their own scRNA-seq data, with options to keep results private or share them with collaborators, fostering a collaborative research environment.
    • Scalability: Built on a scalable architecture that accommodates datasets of varying sizes, from small pilot studies to large-scale single-cell projects.

    Availability: CReSCENT is free to use and accessible online. The platform is publicly available to the research community, promoting widespread adoption and collaboration.

    Note: All resources and documentation are provided in English.

    By integrating user-friendly interfaces with robust analytical pipelines, CReSCENT empowers researchers to perform comprehensive single-cell analyses, thereby advancing our understanding of cancer biology at the single-cell level.

    Canadian Centre for Computational Genomics (C3G)

    Canadian Centre for Computational Genomics (C3G)

    Faculty of Medicine and Health Sciences

    Research lab focused on advancing scientific knowledge and innovation.

    GB

    Guillaume Bourque

    Digital AssetAvailable

    CReSCENT: CanceR Single Cell ExpressioN Toolkit

    Faculty of Medicine and Health Sciences
    Core Facility
    McGill University

    CReSCENT is a web-based platform developed collaboratively by Dr. Trevor Pugh's team at the University Health Network (UHN) and Dr. Michael Brudno's team at The Hospital for Sick Children. It is designed to facilitate the analysis and visualization of single-cell RNA sequencing (scRNA-seq) data, particularly in cancer research. CReSCENT aims to make advanced single-cell analysis accessible to researchers, including those without extensive computational expertise.

    Key Features:

    • User-Friendly Interface: Provides an intuitive web portal that allows users to perform standardized scRNA-seq data analysis without the need for complex installations or command-line interactions.
    • Preconfigured Pipelines: Incorporates containerized pipelines based on the Seurat R toolkit, enabling users to process and analyze scRNA-seq data through standardized workflows. These pipelines are user-editable, allowing optimization and customization for specific experimental needs.
    • Public and Private Data Handling: Utilizes public datasets for comparative analysis and benchmarking. Users can also upload their own scRNA-seq data, with options to keep results private or share them with collaborators, fostering a collaborative research environment.
    • Scalability: Built on a scalable architecture that accommodates datasets of varying sizes, from small pilot studies to large-scale single-cell projects.

    Availability: CReSCENT is free to use and accessible online. The platform is publicly available to the research community, promoting widespread adoption and collaboration.

    Note: All resources and documentation are provided in English.

    By integrating user-friendly interfaces with robust analytical pipelines, CReSCENT empowers researchers to perform comprehensive single-cell analyses, thereby advancing our understanding of cancer biology at the single-cell level.

    CReSCENT: CanceR Single Cell ExpressioN Toolkit
    Canadian Centre for Computational Genomics (C3G)

    Canadian Centre for Computational Genomics (C3G)

    Faculty of Medicine and Health Sciences

    Research lab focused on advancing scientific knowledge and innovation.

    GB

    Guillaume Bourque

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