Cargando…
SnapHiC2: A computationally efficient loop caller for single cell Hi-C data
Single cell Hi-C (scHi-C) technologies enable the study of chromatin spatial organization directly from complex tissues at single cell resolution. However, the identification of chromatin loops from single cells is challenging, largely due to the extremely sparse data. Our recently developed SnapHiC...
Autores principales: | Li, Xiaoqi, Lee, Lindsay, Abnousi, Armen, Yu, Miao, Liu, Weifang, Huang, Le, Li, Yun, Hu, Ming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168059/ https://www.ncbi.nlm.nih.gov/pubmed/35685374 http://dx.doi.org/10.1016/j.csbj.2022.05.046 |
Ejemplares similares
-
SnapHiC: a computational pipeline to identify chromatin loops from single-cell Hi-C data
por: Yu, Miao, et al.
Publicado: (2021) -
Loop detection using Hi-C data with HiCExplorer
por: Wolff, Joachim, et al.
Publicado: (2022) -
FIREcaller: Detecting frequently interacting regions from Hi-C data
por: Crowley, Cheynna, et al.
Publicado: (2020) -
Modeling and analysis of Hi-C data by HiSIF identifies characteristic promoter-distal loops
por: Zhou, Yufan, et al.
Publicado: (2020) -
Computational Processing and Quality Control of Hi-C, Capture Hi-C and Capture-C Data
por: Hansen, Peter, et al.
Publicado: (2019)