基本信息
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职业迁徙
个人简介
The Wasserman lab focuses on the creation and application of computational methods for the analysis of genome sequences, with emphasis on the study of cis-regulatory elements controlling gene transcription. The lab creates widely used software and databases, performs applied analyses of genome sequences, and partners with diverse research teams on projects at the intersection of the computational and life sciences. Current research projects draw upon deep learning and related machine learning methods to use the power of modern computers to gain insghts into how diverse types of cells are produced from the same DNA sequence.
Research Interests:
Computational analysis of gene regulation related to tissue development and rare pediatric disorders; development of databases and health informatics tools for improving diagnosis and support of individuals with genetic disease.
Research Interests:
Computational analysis of gene regulation related to tissue development and rare pediatric disorders; development of databases and health informatics tools for improving diagnosis and support of individuals with genetic disease.
研究兴趣
论文共 303 篇作者统计合作学者相似作者
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Nucleic Acids Researchno. W1 (2023): W379-W386
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Journal of clinical medicineno. 4 (2023): 1695-1695
NAR genomics and bioinformaticsno. 2 (2023)
Nikolai Schleussner, Pierre Cauchy,Vedran Franke,Maciej Giefing,Oriol Fornes,Naveen Vankadari,Salam A Assi,Mariantonia Costanza,Marc A Weniger,Altuna Akalin, Ioannis Anagnostopoulos,Thomas Bukur,
Nature communicationsno. 1 (2023): 6947-18
JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS (2023)
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Nucleic acids researchno. W1 (2023): W379-W386
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Maggie P Fu,Mehul Sharma,Sarah M Merrill, Pariya Yousefi,Ryan Tan,Bhavi P Modi,Kate Del Bel,Rebecca J Deyell,Jacob Rozmus,Wingfield Rehmus,Kyla J Hildebrand, Elliot James,
medrxiv(2023)
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Nucleic Acids Res.no. W1 (2023): 379-386
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引用15浏览0引用
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