My bioinformatics research examines the interface between gene regulation and neuroscience. Recently, this has been assisted through developing two R/Bioconductor packages:
Most of my postdoctoral research was related to developing DMRichR and CpG_Me, which enable the analysis of low-pass whole genome bisulfite sequencing. The following publications demonstrate their potential:
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Multi-omic Brain and Behavioral Correlates of Cell-free Fetal DNA Methylation in Macaque Maternal Obesity Models. Nature Communications, 2022. doi: 10.1038/s41467-022-33162-7
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Placenta and Fetal Brain Share a Neurodevelopmental Disorder DNA Methylation Profile in a Mouse Model of Prenatal PCB Exposure. Cell Reports, 2022. doi: 10.1016/j.celrep.2022.110442
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Placental Methylome Reveals a 22q13.33 Brain Regulatory Gene Locus Associated with Autism. Genome Biology, 2022. doi: 10.1186/s13059-022-02613-1
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Cord Blood DNA Methylome in Newborns Later Diagnosed with Autism Spectrum Disorder Reflects Early Dysregulation of Neurodevelopmental and X-linked Genes. Genome Medicine, 2020. doi: 10.1186/s13073-020-00785-8
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Low-Pass Whole Genome Bisulfite Sequencing of Neonatal Dried Blood Spots Identifies a Role for RUNX1 in Down Syndrome DNA Methylation Profiles. Human Molecular Genetics, 2020. doi: 10.1093/hmg/ddaa218
