ISMB/ECCB 2027
The 35th ISMB conference joined with the 26th annual ECCB, hosted by the International Society for Computational Biology at the Bella Center Copenhagen and virtually - the year's most important computational biology event.
2027 Human Genetics and Genomics Conference
The 2027 Gordon Research Conference on Human Genetics and Genomics will convene researchers for intensive discussion of current developments across human genetics and genomic science. The meeting uses the GRC application model, with attendance applications accepted through May 30, 2027 unless the conference becomes oversubscribed earlier.
European Human Genetics Conference 2027
The 60th European Human Genetics Conference of the European Society of Human Genetics, held June 12-15, 2027 in Rotterdam, The Netherlands as a hybrid conference with in-person and virtual participation.
ASHG 2026 Annual Meeting
Annual meeting of the American Society of Human Genetics at the Palais des Congres de Montreal, gathering 7,500+ attendees from 75 countries for 100+ scientific sessions and 240 exhibitors and sponsors across human genetics and genomics research.
ASM Bioinformatics, Genomics and Big Data Conference
The ASM Bioinformatics, Genomics and Big Data Conference brings the microbiology community together around bioinformatics, genomics, and large-scale data methods, with registration open for the 2026 meeting in Washington, DC.
Genomic investigation of sex-differential neurodevelopment and risk for autism
Precision Genomics in Neurodevelopmental Disorders
Molecular recording using precision genome editing
A framework for detecting noncoding rare variant associations of large-scale whole-genome sequencing studies
The impact of emerging technologies and methods on the interpretation of genetic variation in autism and fetal genomics
Mapping the Dynamics of the Linear and 3D Genome of Single Cells in the Developing Brain
Three intimately related dimensions of the mammalian genome—linear DNA sequence, gene transcription, and 3D genome architecture—are crucial for the development of nervous systems. Changes in the linear genome (e.g., de novo mutations), transcriptome, and 3D genome structure lead to debilitating neurodevelopmental disorders, such as autism and schizophrenia. However, current technologies and data are severely limited: (1) 3D genome structures of single brain cells have not been solved; (2) little is known about the dynamics of single-cell transcriptome and 3D genome after birth; (3) true de novo mutations are extremely difficult to distinguish from false positives (DNA damage and/or amplification errors). Here, I filled in this longstanding technological and knowledge gap. I recently developed a high-resolution method—diploid chromatin conformation capture (Dip-C)—which resolved the first 3D structure of the human genome, tackling a longstanding problem dating back to the 1880s. Using Dip-C, I obtained the first 3D genome structure of a single brain cell, and created the first transcriptome and 3D genome atlas of the mouse brain during postnatal development. I found that in adults, 3D genome “structure types” delineate all major cell types, with high correlation between chromatin A/B compartments and gene expression. During development, both transcriptome and 3D genome are extensively transformed in the first month of life. In neurons, 3D genome is rewired across scales, correlated with gene expression modules, and independent of sensory experience. Finally, I examined allele-specific structure of imprinted genes, revealing local and chromosome-wide differences. More recently, I expanded my 3D genome atlas to the human and mouse cerebellum—the most consistently affected brain region in autism. I uncovered unique 3D genome rewiring throughout life, providing a structural basis for the cerebellum’s unique mode of development and aging. In addition, to accurately measure de novo mutations in a single cell, I developed a new method—multiplex end-tagging amplification of complementary strands (META-CS), which eliminates nearly all false positives by virtue of DNA complementarity. Using META-CS, I determined the true mutation spectrum of single human brain cells, free from chemical artifacts. Together, my findings uncovered an unknown dimension of neurodevelopment, and open up opportunities for new treatments for autism and other developmental disorders.
Experience-Dependent Transcription: From Genomic Mechanisms to Neural Circuit Function
Experience-dependent transcription is a key molecular mechanisms for regulating the development and plasticity of synapses and neural circuits and is thought to underlie cognitive functions such as perception, learning and memory. After two years of COVID-pandemic, the goal of this online conference is to allow investigators in the field to reconnect and to discuss their recent scientific findings.