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Showing 1–6 of 6 results
Advanced filters: Author: Srinivas Niranj Chandrasekaran Clear advanced filters

  • The CPJUMP1 Resource comprises Cell Painting images and profiles of 75 million cells treated with hundreds of chemical and genetic perturbations. The dataset enables exploration of their relationships and lays the foundation for the development of advanced methods to match perturbations.

    • Srinivas Niranj Chandrasekaran
    • Beth A. Cimini
    • Anne E. Carpenter
    ResearchOpen Access
    Nature Methods
    Volume: 21, P: 1114-1121

  • This Resource presents the genetic subset of the 136,000 chemical and genetic perturbations tested by the Joint Undertaking for Morphological Profiling (JUMP) Cell Painting Consortium and associated analysis of phenotypic profiles.

    • Srinivas Niranj Chandrasekaran
    • Eric Alix
    • Anne E. Carpenter
    Research
    Nature Methods
    Volume: 22, P: 1742-1752

  • Pycytominer is a user-friendly, open-source Python package that carries out key bioinformatics steps in image-based profiling.

    • Erik Serrano
    • Srinivas Niranj Chandrasekaran
    • Gregory P. Way
    Research
    Nature Methods
    Volume: 22, P: 677-680

  • We provide an updated protocol for image-based profiling with Cell Painting. A detailed procedure, with standardized conditions for the assay, is presented, along with a comprehensive description of parameters to be considered when optimizing the assay.

    • Beth A. Cimini
    • Srinivas Niranj Chandrasekaran
    • Anne E. Carpenter
    Protocols
    Nature Protocols
    Volume: 18, P: 1981-2013

  • Image-based profiling is a strategy to mine the rich information in biological images. Carpenter and colleagues discuss how the application of machine learning is renewing interest in image-based profiling for all aspects of the drug discovery process, from understanding disease mechanisms to predicting a drug’s activity or mechanism of action.

    • Srinivas Niranj Chandrasekaran
    • Hugo Ceulemans
    • Anne E. Carpenter
    Reviews
    Nature Reviews Drug Discovery
    Volume: 20, P: 145-159