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While the number of SARS-CoV-2 genome sequences grew to over 15 million, the Ultrafast Sample placement on Existing tRees (UShER) tool suite maintained a comprehensive phylogenetic tree in near real time. This experience, and critical performance improvements throughout the pandemic, provide valuable lessons for rapidly scaling analyses.
Keeping up with the latest variant-related research is vital for genomic medicine. Here we present LitVar 2.0, a significantly improved web-based system to accurately search for genetic variants in the unstructured literature. LitVar 2.0 provides a unified search of full text and supplementary data, and improved variant recognition accuracy.
Current ontologies of race, ethnicity and genetic ancestry rely on categorization, but have limitations — as exemplified by multiracial individuals. We argue that including these individuals will foster inclusion by better capturing complex identities, with equity benefits for the full human population.
