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
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.
A mathematical model of bias in marker-gene and metagenomic sequencing measurements explains systematic errors in defined mixtures of microbial species, and enables quantitative and reproducible investigation of biological communities.
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.
Isolation of a gokushovirus capable of lysogenizing enterobacteria challenges previous notions about the biology of the most prolific phages within the Microviridae and facilitates experimental study in a model organism.