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HiCRes: a computational method to estimate and predict the resolution of HiC libraries
Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.09.22.307967v1?rss=1
Authors: Marchal, C., Singh, N., Corso-Diaz, X., Swaroop, A.
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.
Copy rights belong to original authors. Visit the link for more info
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By Multimodal LLCLink to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.09.22.307967v1?rss=1
Authors: Marchal, C., Singh, N., Corso-Diaz, X., Swaroop, A.
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.
Copy rights belong to original authors. Visit the link for more info