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Bayesian inference of spatial organizations of chromosomes

PLoS Computational Biology

Jan 31, 2013

Ming HuJun S Liu

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Abstract

Knowledge of spatial chromosomal organizations is critical for the study of transcriptional regulation and other nuclear processes in the cell. Recently, chromosome conformation capture (3C) based technologies, such as Hi-C and TCC, have been developed to provide a genome-wide, three-di...read more

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    • References41
    • Citations48
    • References41
    • Citations48
  • Bayesian inference of spatial organizations of chromosomes

    PLoS Computational Biology

    Jan 31, 2013

    Ming HuJun S Liu

    PMID: 23382666

    DOI: 10.1371/journal.pcbi.1002893

    Abstract

    Knowledge of spatial chromosomal organizations is critical for the study of transcriptional regulation and other nuclear processes in the cell. Recently, chromosome conformation capture (3C) based technologies, such as Hi-C and TCC, have been developed to provide a genome-wide, three-di...read more

    8
    239
    Paper Details
    References
    • References41
    • Citations48
    • References41
    • Citations48
  • Get paper from

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