Reviews & Analysis

Computational modeling of DNA and RNA targets of regulatory proteins is improved by a deep-learning approach.

Targeting trehalose metabolism improves maize yield under a range of water-deficit conditions.

Network biology is beginning to tackle the complexities of multicellular systems and disease associations.

An approach to inhibit the immune-suppressive function of regulatory T cells is demonstrated in a model of graft-versus-host disease.

Many of the unassignable spectra in proteomics data represent peptides with post-translational modifications.

Both strands of a diploid genome can now be efficiently sequenced de novo, unlocking the diversity of the human gene pool.

Fusions of Cas9 to histone-modifying enzymes enable functional interrogation of the epigenome.

Big data sets are galvanizing our ability to decipher the heritability of immune responses.

Exploiting the foreign body reaction creates a prevascularized space that accommodates and supports transplanted islets.

Draft genome sequences of tetraploid Upland cotton and other polyploids promise insights into genome evolution and cotton fiber biology.

A combination of single-cell transcriptomics with in situ hybridization information enables single cells to be positioned within their tissue.

Bioinformatic imputation of epigenomic marks promises to supplement catalogs of experimental data.

Protein dynamics in livings cells can now be studied by fully automated, high-throughput fluorescence correlation spectroscopy.

The influence of genetic variation on alternative splicing and human disease is modeled in an algorithm that integrates gene expression data.