From genetics to disease: Algorithms to decode somatic mutations
A long-standing goal of biology is to understand how the 3 billion bases of DNA in each human cell contribute to molecular, cellular, and, ultimately, organism function. Somatic mutations, which arise in cells during the course of life, are natural experiments that can be leveraged to provide insigh...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/150068 |