Genomics, computation and sequencing
Mortazavi Lab at UC Irvine
We are leveraging the PacBio and Oxford Nanopore platforms to sequence full-length transcripts in order to characterize the true extent of alternative splicing. We are both sequencing transcriptomes as well as developing tools to enable these analyses.
We are part of a NIA Consortium to build better late-onset Alzheimer’s Disease models in mouse. Our part includes both bioinformatics as well as single-cell transcriptomics in these new models.
We are using functional genomics to understand the mechanisms driving the pathology of Facioscapulohumeral muscular dystrophy using single-cell and single-nucleus techniques.
Gene Regulatory Networks
We are building models of gene regulatory networks using either bulk or single-cell RNA-seq, and ATAC-seq in human, rodents, and other vertebrates in order to discover how the logic of development is encoded in the genome.
We study myogenesis and macrophage differentiation using functional genomics assays such RNA-seq, microRNA-seq, ATAC-seq, and ChIP-seq in order to understand how gene expression and chromatin states change in time courses of differentiation.