PT  - JOURNAL ARTICLE
AU  - Neetesh Pandey
AU  - Omkar Chandra
AU  - Shreya Mishra
AU  - Vibhor Kumar
TI  - Improving chromatin-interaction prediction using single-cell open-chromatin profile and making insight about the cis-regulatory landscape of the human brain
AID  - 10.1101/2020.12.29.424732
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.12.29.424732
4099  - http://biorxiv.org/content/early/2020/12/30/2020.12.29.424732.short
4100  - http://biorxiv.org/content/early/2020/12/30/2020.12.29.424732.full
AB  - Single-cell open-chromatin profiles have the potential to reveal the pattern of chromatin-interaction in a cell-type. However, currently available cis-regulatory network prediction methods using single-cell open-chromatin profiles focus more on local chromatin-interactions despite the fact that long-range interaction among genomic sites plays a significant role in gene regulation. Here, we propose a method that predicts both local and long-range interactions among genomic sites using single-cell open chromatin profiles. Using our method’s better sensitivity, we could predict almost 0.7 million interactions among genomic sites across 7 cell-types in the human brain. The chromatin-interactions estimated in the human brain revealed surprising but useful insight about target genes of human-accelerated-elements and disease-associated mutations.Competing Interest StatementThe authors have declared no competing interest.