CLONEID: A Framework for Monitoring and Steering Subclonal Dynamics
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Understanding how genetic and phenotypic diversity emerges and evolves within cancer cell populations is a fundamental challenge in cancer biology. CLONEID is a novel framework designed to organize and analyze clone-specific measures as structured data. By integrating genotypic and phenotypic experimental data, CLONEID facilitates hypothesis-driven and hypothesis-generating research in cancer biology. This article outlines the development, utility, and applications of CLONEID, emphasizing its role in overcoming challenges in data reproducibility, mathematical modeling, and experimental design. A webportal to the CLONEID database is available at https://dev.cloneid.org .
