Cargando…
HiNT: a computational method for detecting copy number variations and translocations from Hi-C data
The three-dimensional conformation of a genome can be profiled using Hi-C, a technique that combines chromatin conformation capture with high-throughput sequencing. However, structural variations often yield features that can be mistaken for chromosomal interactions. Here, we describe a computationa...
Autores principales: | Wang, Su, Lee, Soohyun, Chu, Chong, Jain, Dhawal, Kerpedjiev, Peter, Nelson, Geoffrey M., Walsh, Jennifer M., Alver, Burak H., Park, Peter J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087379/ https://www.ncbi.nlm.nih.gov/pubmed/32293513 http://dx.doi.org/10.1186/s13059-020-01986-5 |
Ejemplares similares
-
Hi-C as a tool for precise detection and characterisation of chromosomal rearrangements and copy number variation in human tumours
por: Harewood, Louise, et al.
Publicado: (2017) -
cnvHiTSeq: integrative models for high-resolution copy number variation detection and genotyping using population sequencing data
por: Bellos, Evangelos, et al.
Publicado: (2012) -
HiGlass: web-based visual exploration and analysis of genome interaction maps
por: Kerpedjiev, Peter, et al.
Publicado: (2018) -
Modeling and analysis of Hi-C data by HiSIF identifies characteristic promoter-distal loops
por: Zhou, Yufan, et al.
Publicado: (2020) -
HiCRep: assessing the reproducibility of Hi-C data using a stratum-adjusted correlation coefficient
por: Yang, Tao, et al.
Publicado: (2017)