Ontology highlight
ABSTRACT:
SUBMITTER: Li B
PROVIDER: S-EPMC7218568 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
Li Bin B Li Young Y Li Kun K Zhu Lianbang L Yu Qiaoni Q Cai Pengfei P Fang Jingwen J Zhang Wen W Du Pengcheng P Jiang Chen C Lin Jun J Qu Kun K
Genome biology 20200512 1
The development of sequencing technologies has promoted the survey of genome-wide chromatin accessibility at single-cell resolution. However, comprehensive analysis of single-cell epigenomic profiles remains a challenge. Here, we introduce an accessibility pattern-based epigenomic clustering (APEC) method, which classifies each cell by groups of accessible regions with synergistic signal patterns termed "accessons". This python-based package greatly improves the accuracy of unsupervised single-c ...[more]