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个人简介
Dr. Huttenhower’s research focuses on computational biology at the intersection of microbial community function and human health. The human body carries some four pounds of microbes, primarily in the gut, and understanding their biomolecular functions, their influences on human hosts, and the metabolic and functional roles of microbial communities generally is one of the key areas of study enabled by high-throughput sequencing. First, computational methods are needed to advance functional metagenomics. How can we understand what a microbial community is doing, what small molecule metabolites or signaling mechanisms it’s employing, and how its function relates to its organismal composition? Second, our understanding of the human microbiome and its relationship with public health remains limited. Pathogens have been examined by centuries of microbiology and epidemiology, but we know relatively little about the transmission or heritability of the normal commensal microbiota, its carriage of pathogenic functionality, or its interaction with host immunity, environment, and genetics. Finally, more broadly, novel machine learning methodology is needed to leverage structured biological knowledge in high-dimensional genomic data analysis. The Huttenhower group works on a variety of computational methods for data mining in microbial communities, model organisms, pathogens, and the human genome.
研究兴趣
论文共 464 篇作者统计合作学者相似作者
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Gastroenterologyno. 5 (2024): S-19-S-20
Gastroenterologyno. 5 (2024): S-273-S-274
India Brough,Kelsey Thompson, Ciara Latore,Frank Penkava, Chelsea Regan,Claire Pearson,Hui Shi,Anna Ridley,Davide Simone,Lilian Lam,Samuel Bullers, Caroline Moussa,
Discovery immunologyno. 1 (2024): kyae005-kyae005
Natureno. 8006 (2024): 1-9
Gastroenterologyno. 2 (2024): 405-408.e3
Gastroenterologyno. 5 (2024): S-1086-S-1087
Communications biologyno. 1 (2024): 516-516
Gastroenterologyno. 5 (2024): S-121
Annals of surgery (2024)
medRxiv : the preprint server for health sciences (2024)
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作者统计
#Papers: 465
#Citation: 113041
H-Index: 121
G-Index: 321
Sociability: 8
Diversity: 3
Activity: 330
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