Learning the distribution of single-cell chromosome conformations in bacteria reveals emergent order across genomic scales
The order and variability of bacterial chromosome organization, contained within the distribution of chromosome conformations, are unclear. Here, the authors develop a fully data-driven maximum entropy approach to extract single-cell 3D chromosome conformations from Hi-C experiments on the model org...
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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/84d87ae148d5440b8d200074a9cfa90f |
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| Sumario: | The order and variability of bacterial chromosome organization, contained within the distribution of chromosome conformations, are unclear. Here, the authors develop a fully data-driven maximum entropy approach to extract single-cell 3D chromosome conformations from Hi-C experiments on the model organism Caulobacter crescentus. |
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