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Data for epigenetics research

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Epigenetics research over the last 20 years has led to an extraordinary range of discoveries, which are continuing to grow in number and scope. Fields of research span biochemistry, molecular biology, genomics, epigenomics, transcriptomics, medicine, therapeutics, our understanding of reproduction and ageing, developmental biology and evolutionary biology. This Collection presents data within epigenetics research including, but not limited to, data generated through techniques such as ChIP-seq, ATAC-seq, whole-genome DNA methylation such as WGBS or RRBS, RNA sequencing, single-cell RNA-seq (scRNA-seq), single-cell epigenetics/epigenomics, spatial transcriptomics/epigenomics, and the role of non-coding RNAs in epigenetic modulation.

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Close up image of DNA coloured orange with a DNA methyl transferase coloured light blue wrapped around

Editors

Roberta Tarallo, PhD, University of Salerno, Italy

Roberta Tarallo is an Associate Professor at University of Salerno, Italy. Her research activities are mainly focused on the understanding of the molecular mechanisms underlying key patho-physyological processes through the application of advanced technologies and multi-OMICS approaches in personalized medicine and oncogenomics.

 

 

Charles Wang, MD, PhD, MPH, Loma Linda University, USA

Charles Wang, MD, PhD, MPH, is Director of the Center for Genomics and a tenured full Professor at the Loma Linda University School of Medicine. Dr. Wangserves as a Senior Editorial Board member for Scientific Data and an Editorial Board Member for Precision Clinical Medicine. He is a NIH funded investigator and his current research is focused on understanding genomic and epigenomic mechanisms of prenatal nicotine exposure or abused drugs induced abnormal brain development.  He is a well-recognized expert in genomics, epigenomics, spatial genomics and single-cell sequencing, with many high visibility papers published in prestigious journals including Nature Biotechnology, Nature Communications, and Genome Biology. He was one of the pioneers and project leaders for the MAQC- and SEQC-consortium projects.