Abstract
Characterization of mutational processes in adult stem cells (ASCs) will improve our understanding of aging-related diseases, such as cancer and organ failure, and may ultimately help prevent the development of these diseases. Here, we present a method for cataloging mutations in individual human ASCs without the necessity of using error-prone
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