David Enard

Flex-sweep 2.0 improves selective sweep detection by enhancing speed, memory efficiency, and flexibility with new features like custom CNN architectures and domain-adaptive training.

This study identifies GBP5 as a key antiviral gene in bats, showing its evolutionary adaptations and functional specificity in restricting viral infections.

The paper tests the nearly-neutral theory across 144 placental mammal genomes, showing correlations between genetic diversity, life-history traits, and selection efficacy at both micro- and macro-evolutionary scales.

The paper identifies viral release as a hotspot of strong human adaptation, where host proteins trap new virions to prevent further infection.

This study identifies genetic adaptations in Myotis bats linked to longevity and viral tolerance through genome analysis and functional experiments.

This study uses phylogenomic data to analyze the branching order of Paenungulata, finding strong evidence for a polytomy with limited gene support for any specific resolution.

This study identifies a single residue in ZAP's WWE domain that enhances its antiviral activity against alphaviruses by improving viral translation inhibition.

The paper develops a framework to account for multi-nucleotide substitutions and synonymous rate variation in natural selection analyses, showing they significantly impact detection of positive selection.

Flex-sweep, a convolutional neural network over 11 summary statistics (five new), detects weak, soft, incomplete and old selective sweeps up to 0.125 * 4Ne generations using one sequenced population.

The paper shows that virus-interacting proteins, even when conserved across species, experience high adaptive evolution, with viruses driving over 75% of adaptation in the most conserved human proteins.

The paper identifies RNA viruses as drivers of adaptive introgressions between Neanderthals and modern humans, showing that genes inherited from Neanderthals provided resistance to viruses in new environments.