HiCRes: a computational method to estimate and predict the genomic resolution of Hi-C libraries.
Nucleic Acids Res
; 50(6): e35, 2022 04 08.
Article
en En
| MEDLINE
| ID: mdl-34928367
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. Hi-C 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 Hi-C experimental design. Here, we present the mathematical concepts to estimate the resolution of a dataset and predict whether deeper sequencing would enhance the resolution. We have developed HiCRes, a docker pipeline, by applying these concepts to several Hi-C libraries.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Cromosomas
/
Genoma
/
Biología Computacional
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Nucleic Acids Res
Año:
2022
Tipo del documento:
Article
País de afiliación:
Estados Unidos