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Genetics-based structural modelling uses coevolution, deep mutational scanning and genetic or chemical–genetic interaction mapping to compute structural models of protein structures or complexes.
This Nature Milestone provides a perspective of major genomic sequencing-related developments in the 21st century — from the first human reference genome, through methodological breakthroughs, to the impact of sequencing on fields as diverse as microbiology, cancer and palaeogenetics.
This Nature Milestone celebrates two decades of breakthroughs in basic, translational and clinical research, which have revolutionized our understanding and management of cancer.
The editors of Nature Reviews Genetics will be posting about the latest developments in research and policy, and providing news about the journal. If you have any questions or feedback for us, get in touch by email or on Twitter.
Finding it hard to navigate the flood of scientific literature? The Nature Reviews journals filter and highlight the most impactful research. Take a look at this animation to learn how Nature Reviews Genetics can help you stay up-to-date, or visit www.springernature.com/naturereviews
In this Review, Stanley summarizes the role of genetics in mammalian glycosylation, highlighting how advances in genetic and genomic technologies are helping to characterize the genes involved and contributing to the development of therapies for diseases related to glycosylation.
Targeted genome modification using CRISPR–Cas genome editing, base editing or prime editing is driving base research in plants and precise molecular breeding. The authors review the technological principles underlying these methods, approaches for their delivery in plants, and emerging crop-breeding strategies based on targeted genome modification.
In this Review, Li and Durbin discuss how to generate telomere-to-telomere assemblies for large haploid or diploid genomes using currently available data types and algorithms, and outline remaining challenges in resolving highly repetitive sequences and polyploid genomes.
In this Review, the authors summarize our current understanding of nuclear pre-mRNA and mRNA decay pathways. They describe how aberrantly processed mRNAs are targeted for decay in the nucleus and how this process is regulated to finely control gene expression.
In this Perspective, Werner and colleagues discuss the many potential mechanisms by which natural antisense transcripts (NATs) can regulate expression of their complementary sense transcripts, the biological implications of their regulatory effects and the potential of NATs for therapeutic applications.
In this Journal Club, Jessica Tollkuhn discusses how a paper describing genome-wide application of chromatin immunoprecipitation (ChIP)-on-chip inspired her own research into oestrogen-based gene regulation in the brain.
In this Tools of the Trade article, Vipul Singhal and Nigel Chou describe BANKSY, a machine learning tool that harnesses gene expression gradients from the neighbourhood of a cell for cell typing and domain segmentation.
Logsdon et al. report the second complete sequence of all centromeres from a single human genome, enabling comparative analyses of the variation in tandemly repeating α-satellite DNA.
In this Comment, Lamkin and Gymrek discuss recent results that suggest that the systematic incorporation of tandem repeats into complex trait analyses will yield a rich source of causal variants and new biological insights.
Many biological phenomena are either invisible or only partially characterized when interrogated using standard analyses that average data across a bulk population of cells. Now, technological advances are providing unprecedented opportunities to analyse the complexities of biological systems at the single-cell level. High-throughput analyses of the genomes, transcriptomes and proteomes of single cells are yielding novel and important insights into diverse processes such as development, gene-expression dynamics, tissue heterogeneity and disease pathogenesis. In this Focus issue, we highlight the transformative potential of single-cell omics approaches.