Single cell expression data can be used to determine how regulatory transcription factors and target genes are connected, and is especially useful when studying transcription factors controlling heterogeneous cell states.

Whole genome sequencing of 19 populations of Atlantic and Baltic herring reveals hundreds of individual loci underlying adaptation to a low salinity niche or timing of reproduction.

Copy number alteration heterogeneity exists in many shapes and forms in breast cancer genomes and single-cell genomics is a powerful tool to further our understanding of its nature and significance.

Shigella flexneri, globally the most frequent cause of bacterial dysentery, is far more diverse, and has caused disease around the world for far longer than other Shigella species by persisting in local environments over extended timescales.

A distinct class of kidney tumors is characterized not by patterns of somatic mutations, but by a distinct metabolism.

ChAR-seq is a massively parallelized de novo RNA mapping assay, which is capable of generating hundreds to thousands of RNA-binding maps with no a priori knowledge of target RNAs.

Bulk whole genome sequencing data can be used to study the genetic variation present in pathogenic bacterial populations over the time-course of a single infection within a host.

An adaptive process of genetic homogenization in poxviruses facilitates the propagation of single nucleotide variation within gene copies and might favor the persistence of large gene copy arrays.

Identifying 1,907 mitochondrial somatic mutations from 1,675 tumor tissues provides new insights into the causes and effects of the mitochondrial genome mutations found in human cancers.

The application of long-read sequencing to the pea aphid wing dimorphism system reveals genomic structural divergence as a genetic mechanism of adaptation.