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Our mission is to pioneer new computational approaches for studying somatic mutations with various sequencing methods and to leverage these technologies to better understand the roles of somatic mutation in the human genome. Somatic mutations, which accumulate during development and aging in all cell types, contribute to the genomic diversity within individuals and underlie a broad range of human diseases. Through close collaborations with bench scientists who generate sequencing data from diverse tissue types and disease conditions, we strive to deepen our knowledge of somatic mutations and their impact on human health, driving the development of innovative strategies for disease prevention, diagnosis, and treatment.
Computational toolkit for somatic mutation identification
Developing new computational tools to identify somatic mutations from various types of bulk and single-cell high-throughput sequencing data.
Understanding the pathogenic contribution and mechanism of somatic mutations in various diseases for better prevention, diagnosis, and treatment.
Investigating the mechanisms underlying somatic mutation accumulation in various human tissues, as well as their functional impacts on the transcriptome and epigenome of carrier cells.
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Join Our Team
The Huang Lab is seeking talented postdoctoral researchers, graduate and undergraduate students, and visiting scholars to work with us on studying somatic mutation using computational genomic techniques. To apply, please send a cover letter along with CV and contact information of three references by email.
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