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Bio
Research Interests
The long-term goal of research in our lab is to use mathematical and statistical methods to identify functional elements in eucaryotic genomes, especially the genes and their control and regulatory elements. A genome is the program book of a life, genome research will lead to eventual decoding of the entire genetic language of life and its grammar. Driven by the Human Genome Project, our current interest is on two related problems: genome/chromatin organization and gene regulation networks. At the transcriptional level, identification of cis-elements (both genetic and epigenetic) is the key focus. We are increasingly interested post-transcriptional regulations, especially at splicing regulation and translational regulation. Constitutive coding exons are relatively easy to identify, the greatest challenge lies in the identification of end exons and alternatively spliced exons that are often tissue- and developmental specific. Since this requires the study of many important control and regulatory elements for gene expression, this link between gene structure and function at the genomic or pre-/pri- RNA level requires high-throughput functional studies. Detecting cis regulatory elements and modeling gene expression networks are difficult challenges in the functional genomics era. Working closely with bench-scientists, our investigation will undoubtedly contribute to the understanding of genome organization as well as gene expression and regulation mechanisms, which will in turn have a profound impact on biology and medicine.
The long-term goal of research in our lab is to use mathematical and statistical methods to identify functional elements in eucaryotic genomes, especially the genes and their control and regulatory elements. A genome is the program book of a life, genome research will lead to eventual decoding of the entire genetic language of life and its grammar. Driven by the Human Genome Project, our current interest is on two related problems: genome/chromatin organization and gene regulation networks. At the transcriptional level, identification of cis-elements (both genetic and epigenetic) is the key focus. We are increasingly interested post-transcriptional regulations, especially at splicing regulation and translational regulation. Constitutive coding exons are relatively easy to identify, the greatest challenge lies in the identification of end exons and alternatively spliced exons that are often tissue- and developmental specific. Since this requires the study of many important control and regulatory elements for gene expression, this link between gene structure and function at the genomic or pre-/pri- RNA level requires high-throughput functional studies. Detecting cis regulatory elements and modeling gene expression networks are difficult challenges in the functional genomics era. Working closely with bench-scientists, our investigation will undoubtedly contribute to the understanding of genome organization as well as gene expression and regulation mechanisms, which will in turn have a profound impact on biology and medicine.
Research Interests
Papers共 691 篇Author StatisticsCo-AuthorSimilar Experts
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BLOODno. 2 (2024): 124-138
SIAM JOURNAL ON APPLIED MATHEMATICSno. 3 (2024): 1204-1226
Takahide Nejo,Lin Wang,Kevin K. Leung,Albert Wang,Senthilnath Lakshmanachetty,Marco Gallus,Darwin W. Kwok,Chibo Hong,Lee H. Chen,Diego A. Carrera,Michael Y. Zhang,Nicholas O. Stevers,Gabriella C. Maldonado,Akane Yamamichi,Payal B. Watchmaker,Akul Naik,Anny Shai,Joanna J. Phillips,Susan M. Chang,Arun P. Wiita,James A. Wells,Joseph F. Costello,Aaron A. Diaz,Hideho Okada
Scientific Reportsno. 1 (2024): 1-17
Genome Biologyno. 1 (2024): 1-27
crossref(2024)
Khyati Raghunath Chandratre, Susmita Ramanad, Ahmed abbas Elmahdi,Yunpeng Gao,Ram Shankar Mani,Michael Zhang
Cancer Researchno. 7_Supplement (2024)
Jinnan He,Xiangru Huo,Gaofeng Pei,Zeran Jia, Yiming Yan,Jiawei Yu,Haozhi Qu, Yunxin Xie, Junsong Yuan, Yuan Zheng, Yanyan Hu,Minglei Shi,Kaiqiang You,Tingting Li,Tianhua Ma,Michael Q. Zhang,Sheng Ding,Pilong Li,Yinqing Li
Cell (2024)
Weihang Zhang,Jinli Suo,Yan Yan,Runzhao Yang, Yiming Lu,Yiqi Jin, Shuochen Gao,Shao Li,Juntao Gao,Michael Zhang,Qionghai Dai
Nucleic acids researchno. 16 (2023): 8348-8366
Comput Biol Medicine (2023)
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Author Statistics
#Papers: 699
#Citation: 70699
H-Index: 109
G-Index: 259
Sociability: 8
Diversity: 0
Activity: 3
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