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bioRxiv · 10.1101/2020.09.22.307967

HiCRes: a computational method to estimate and predict the resolution of HiC libraries

Marchal, C.·Singh, N.·Corso-Diaz, X.·Swaroop, A.
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Abstract

Three-dimensional (3D) conformation of the chromatin is crucial to stringently regulate gene expression patterns and DNA replication in a cell-type specific manner. HiC is a key technique for measuring 3D chromatin interactions genome wide. Estimating and predicting the resolution of a library is an essential step in any HiC experimental design. Here, we present the mathematical concepts to estimate the resolution of a library and predict whether deeper sequencing would enhance the resolution. We have developed HiCRes, a docker pipeline, by applying these concepts to human and mouse HiC libraries.

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Marchal, C., Singh, N., Corso-Diaz, X., Swaroop, A.. 2020-09-22. HiCRes: a computational method to estimate and predict the resolution of HiC libraries. https://doi.org/10.1101/2020.09.22.307967

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