We are pleased to announce our upcoming webinar in May 2026. Dr. Hao Feng from University of Texas Health Science Center at Houston will give a talk at 7pm (ET) on May 27 (Wednesday). Please use the link below to register for the KISS webinar. The webinar title and abstract are as follows.
Date/Time: 7pm – 8pm ET (6pm – 7pm CT; 4pm – 5pm PT) on May 27
Registration link:
https://yonsei.zoom.us/meeting/register/3TX00BpdScSct8TqPhT0OQ
If the link does not open when clicked, please copy and paste it into your browser’s address bar.
Registration is required for this meeting. After registering, you will receive a confirmation email containing information about joining the meeting.
Speaker: Dr. Hao Feng from University of Texas Health Science Center at Houston
Title: Detecting differential DNA methylation dynamics in single cell
Abstract: Recent advancements in single-cell DNA methylation (scDNAm) sequencing technologies have enabled the profiling of epigenetic landscapes at unprecedented resolution, offering insights into cellular heterogeneity, differentiation and evolution. Trajectory inference, which orders cells along pseudotime, allows researchers to track genomics changes across continuous cell states and identify key loci exhibiting differential methylation. However, no methods currently exist to model methylation changes along pseudotime in scDNAm data. Here, we present a hierarchical Bayesian framework for scDNAm data analysis. Our method, named mist (methylation inference for single-cell along trajectory), models stage-specific biological variations, identifies genomic features with significant methylation changes along pseudotime, and performs Differential Methylation (DM) analysis across phenotypical groups. mist is publicly available as an R/Bioconductor package at https://bioconductor.org/packages/mist.
I am looking forward to seeing you all!
Best regards,
Jeong Hoon Jang
KISS Program Chair Elect
