Abigail Lind

This study develops a new cultivation method for Blastocystis, revealing that multiple strains can coexist within a single host.

EukDetect2 improves eukaryote detection in metagenomes with a larger database and quantitative metrics, revealing Blastocystis and Dientamoeba as prevalent gut eukaryotes.

The paper identifies proteins and regulatory elements associated with vocal learning by analyzing bat neural activity and epigenomic data.

This study presents contiguous and complete assemblies of Blastocystis strains, revealing genetic and metabolic diversity linked to host ecology and horizontal gene transfer.

TOGA integrates gene annotation and orthology inference across hundreds of genomes, improving ortholog detection and creating large comparative gene resources.

A machine learning approach identifies enhancer-phenotype associations across mammals, revealing links to brain size and behavior evolution.

The paper curates TE content in 248 mammalian genomes, finding trends in recent TE accumulation and associations with dietary habits.

A 240-species placental mammal alignment resolves constraint to single bases, estimating at least 10.7% of the human genome is constrained, with 48.5% of constrained bases unannotated.

The paper uses evolutionary constraint scores to identify functional genomic regions and finds they are enriched for variants associated with common diseases.

The paper identifies bats as a hotspot for horizontal transfer of DNA transposons, finding over 200 putative elements and shared transposons across mammals and reptiles.

EukDetect identifies microbial eukaryotes in shotgun metagenomic data, revealing their distribution in the human gut and Baltic Sea, and their transcriptional activity in stool samples.

The paper presents a high-resolution chromosome-assigned genome of the Komodo dragon, identifying adaptations in cardiovascular, muscular, and chemosensory systems through comparative genomics.

The paper constructs a robust phylogenomic timetree for Aspergillus and Penicillium fungi using multiple genome datasets and phylogenetic methods to identify incongruent branches and estimate divergence times.

This study identifies five types of genetic variation in secondary metabolic gene clusters across 66 strains of Aspergillus fumigatus and links them to evolutionary drivers like mutation, recombination, and horizontal gene transfer.