Personal Website: https://vikas-bansal.com/
I am interested in producing, integrating and discovering patterns in large multi-omics datasets to extend the understanding of transcriptional and post-transcriptional regulatory mechanisms in human disorders. Integration of different sequencing data types provides an opportunity to investigate biological pathways at multiple layers like genotype, chromatin and transcript levels. We use iPSCs, human tissues and mouse models to generate cell-type specific multi-omics data (e.g. spatial transcriptomics, scRNA-seq and scATAC-seq) to better understand diseases.
研究方向
Particle physics theoretical and experimental studiesHigh-Energy Particle Collisions ResearchQuantum Chromodynamics and Particle InteractionsParticle Detector Development and PerformanceDark Matter and Cosmic Phenomena