JUMP_CPG

JUMP (Joint Undertaking for Morphological Profiling) Cell Painting (abbreviated as JUMP-CP) is the world’s largest public image-based drug discovery resource from Broad Institute. Haibe-Kains lab curated raw 5-channel microscopy files cpg0016 (often referred to as the JUMP production dataset). Features are extracted using CellProfiler or deep learning models. Metadata includes mapping plates and wells to specific chemical treatments. It is unique because it was generated across 12 different data-generating centers (referred to as “sources”), providing high technical variability that makes it a robust reference dataset for drug discovery. The data is hosted on the AWS Registry of Open Data (https://registry.opendata.aws/cellpainting-gallery/) under the project folder /cpg0016-jumpJUMP（形态谱分析联合项目，Joint Undertaking for Morphological Profiling）细胞绘画（Cell Painting）数据集（简称JUMP-CP）是博德研究所（Broad Institute）推出的全球规模最大的公开基于图像的药物发现资源。Haibe-Kains实验室对原始5通道显微镜图像文件cpg0016（常被称为JUMP生产数据集）完成了人工整理工作。该数据集的特征通过CellProfiler或深度学习模型提取。元数据包含孔板与特定化学处理条件的映射关系。该数据集的独特之处在于，其数据采集覆盖12个不同的数据生成中心（下称“来源中心”），具备较高的技术变异性，使其成为药物发现领域一款稳健的参考数据集。目前该数据集托管于亚马逊云服务开放数据注册表（AWS Registry of Open Data）的/cpg0016-jump项目文件夹中，访问地址为https://registry.opendata.aws/cellpainting-gallery/