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Pré-Publication, Document De Travail Année : 2021

circHiC: circular visualization of Hi-C data and integration of genomic data

Résumé

Genome wide contact frequencies obtained using Hi-C-like experiments have raised novel challenges in terms of visualization and rationalization of chromosome structuring phenomena. In bacteria, display of Hi-C data should be congruent with the circularity of chromosomes. However, standard representations under the form of square matrices or horizontal bands are not adapted to periodic conditions as those imposed by (most) bacterial chromosomes. Here, we fill this gap and propose a Python library, built upon the widely used Matplotlib library, to display Hi-C data in circular strips, together with the possibility to overlay genomic data. The proposed tools are light and fast, aiming to facilitate the exploration and understanding of bacterial chromosome structuring data. The library further includes the possibility to handle linear chromosomes, providing a fresh way to display and explore eukaryotic data.
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Dates et versions

hal-02945275 , version 1 (16-11-2021)

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Ivan Junier, Nelle Varoquaux. circHiC: circular visualization of Hi-C data and integration of genomic data. 2021. ⟨hal-02945275⟩
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