Advances Using Single-Particle Trajectories to Reconstruct Chromatin Organization and Dynamics.

Shukron, O; Seeber, A; Amitai, A; Holcman, D

Shukron, O; Seeber, A; Amitai, A; Holcman, D.

Afiliación

Shukron O; Group of Data Modeling, Computational Biology and Predictive Medicine, Institut de Biologie, CNRS/INSERM/PSL Ecole Normale Supérieure, Paris, 75005, France.
Seeber A; Center for Advanced Imaging, Northwest Building, 52 Oxford St, Suite 147, Harvard University, Cambridge, MA, 02138, USA.
Amitai A; Department of Chemical Engineering, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA; The Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA.
Holcman D; Group of Data Modeling, Computational Biology and Predictive Medicine, Institut de Biologie, CNRS/INSERM/PSL Ecole Normale Supérieure, Paris, 75005, France. Electronic address: david.holcman@ens.fr.

Trends Genet ; 35(9): 685-705, 2019 09.

Article en En | MEDLINE | ID: mdl-31371030

Asunto(s)

Cromatina/química; Cromatina/metabolismo; Modelos Biológicos; Adenosina Trifosfato/metabolismo; Daño del ADN; Reparación del ADN; Difusión; Modelos Estadísticos; Programas Informáticos

Palabras clave

Loci; analysis; chromatin; polymer models; single-particle trajectories; statistical methods

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Cromatina / Modelos Biológicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Trends Genet Asunto de la revista: GENETICA Año: 2019 Tipo del documento: Article País de afiliación: Francia

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