Cargando…
HMMRATAC: a Hidden Markov ModeleR for ATAC-seq
ATAC-seq has been widely adopted to identify accessible chromatin regions across the genome. However, current data analysis still utilizes approaches initially designed for ChIP-seq or DNase-seq, without considering the transposase digested DNA fragments that contain additional nucleosome positionin...
Autores principales: | Tarbell, Evan D, Liu, Tao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895260/ https://www.ncbi.nlm.nih.gov/pubmed/31199868 http://dx.doi.org/10.1093/nar/gkz533 |
Ejemplares similares
-
Classifying cells with Scasat, a single-cell ATAC-seq analysis tool
por: Baker, Syed Murtuza, et al.
Publicado: (2019) -
HMMConverter 1.0: a toolbox for hidden Markov models
por: Lam, Tin Yin, et al.
Publicado: (2009) -
Combining ATAC-seq with nuclei sorting for discovery of cis-regulatory regions in plant genomes
por: Lu, Zefu, et al.
Publicado: (2017) -
Simultaneous characterization of sense and antisense genomic processes by the double-stranded hidden Markov model
por: Glas, Julia, et al.
Publicado: (2016) -
simATAC: a single-cell ATAC-seq simulation framework
por: Navidi, Zeinab, et al.
Publicado: (2021)