Orthology inference at scale with FastOMA.

The surge in genome data, with ongoing efforts aiming to sequence 1.5 M eukaryotes in a decade, could revolutionize genomics, revealing the origins, evolution and genetic innovations of biological processes. Yet, traditional genomics methods scale poorly with such large datasets.

Repairing a deleterious domestication variant in a floral regulator gene of tomato by base editing.

Crop genomes accumulate deleterious mutations-a phenomenon known as the cost of domestication. Precision genome editing has been proposed to eliminate such potentially harmful mutations; however, experimental demonstration is lacking. Here we identified a deleterious mutation in the tomato transcription factor SUPPRESSOR OF SP2 (SSP2), which became prevalent in the domesticated germplasm and diminished DNA binding to genome-wide targets.

Equipping a Wyatt multiangle, multidetector instrument for real-time particle and polymer sizing by simultaneous multiple-angle dynamic and static light scattering.

Well-constructed instruments may continue to perform beyond their manufacturer-supported service lifetime, which is typically limited by computer operating system compatibility or the availability of spare parts. Often, such equipment is condemned to surplus and destroyed. End-of-life plans that retain some of the material and energy used to create scientific instruments are of interest, just as in other manufacturing sectors.

Quest for Orthologs in the Era of Biodiversity Genomics.

The era of biodiversity genomics is characterized by large-scale genome sequencing efforts that aim to represent each living taxon with an assembled genome. Generating knowledge from this wealth of data has not kept up with this pace. We here discuss major challenges to integrating these novel genomes into a comprehensive functional and evolutionary network spanning the tree of life.

When less is more: sketching with minimizers in genomics.

The exponential increase in sequencing data calls for conceptual and computational advances to extract useful biological insights. One such advance, minimizers, allows for reducing the quantity of data handled while maintaining some of its key properties. We provide a basic introduction to minimizers, cover recent methodological developments, and review the diverse applications of minimizers to analyze genomic data, including de novo genome assembly, metagenomics, read alignment, read correction, and pangenomes.