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

Authors :
Ximena Corso-Díaz
Nivedita Singh
Anand Swaroop
Claire Marchal
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........1caf3a5225c90357b0ed3c09b5638d73