An in-depth metagenomic analysis of possibly the most abundant and widespread microbial lineage in the surface ocean teases apart evolutionary processes that maintain its genomic heterogeneity and biogeography.

Computational models and software connect metagenomics to metabolic network reconstruction, assess metabolic complementarity between species, and identify critical species associated to functions of interest.

A high-throughput, activity-based selection identifies many phage-derived inhibitors of Cas9 from human fecal and oral metagenomes, with at least one inhibitor acting via a novel mechanism.

The bioBakery 3 platform enables improved, integrated, and strain-level analysis of microbial communities from large-scale meta-omic data.

Microfluidic-based mini-metagenomics enables the investigation of environmental microbial communities in high-throughput and with single-cell resolution, facilitating genome binning and quantification of function, abundance, and genome variation.

Analysis of genomic DNA composition of surface plankton communities reveals a stable, ocean basin-scale plankton biogeography that emerges from the intertwined effects of environmental variations and currents.

A technique called meta3C provides an elegant and integrated approach to metagenomic analysis by allowing the de novo assembly, scaffolding and 3D characterization of unknown genomes from a complex mix of species

Computational approach quantifies the abundance of phenazine-antibiotic producing and biodegrading bacteria in diverse soil and plant-associated habitats.

A novel DNA/RNA modifying enzyme catalyzing a previously unknown 5-carbamoyloxymethylcytosine modification has been discovered using a novel framework called Metagenomics Genome-Phenome Association.

Pyro-sequencing of two genes involved in bacterial secondary metabolism provides new insights into the rich reservoir of biologically active small molecules found in environmental bacteria.