CLONEID: A Framework for Monitoring and Steering Subclonal Dynamics

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<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://dev.cloneid.org">https://dev.cloneid.org</ext-link>.