Cargando…
Single-cell ATAC sequencing analysis: From data preprocessing to hypothesis generation
Most genetic variations associated with human complex traits are located in non-coding genomic regions. Therefore, understanding the genotype-to-phenotype axis requires a comprehensive catalog of functional non-coding genomic elements, most of which are involved in epigenetic regulation of gene expr...
Autores principales: | Baek, Seungbyn, Lee, Insuk |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327298/ https://www.ncbi.nlm.nih.gov/pubmed/32637041 http://dx.doi.org/10.1016/j.csbj.2020.06.012 |
Ejemplares similares
-
COVID-GWAB: A Web-Based Prediction of COVID-19 Host Genes via Network Boosting of Genome-Wide Association Data
por: Baek, Seungbyn, et al.
Publicado: (2022) -
scPipe: an extended preprocessing pipeline for comprehensive single-cell ATAC-Seq data integration in R/Bioconductor
por: Amarasinghe, Shanika L, et al.
Publicado: (2023) -
Comprehensive analysis of single cell ATAC-seq data with SnapATAC
por: Fang, Rongxin, et al.
Publicado: (2021) -
Zseq: An Approach for Preprocessing Next-Generation Sequencing Data
por: Alkhateeb, Abedalrhman, et al.
Publicado: (2017) -
Model-based compound hypothesis testing for snATAC-seq data with PACS
por: Miao, Zhen, et al.
Publicado: (2023)