Data mining articles from across Nature Portfolio

Using laser-capture microdissection and whole-genome sequencing of individual crypts, we characterized the landscape of somatic mutations in human small intestinal epithelium. Mutational signatures of APOBEC mutagenesis were found frequently and are probably due to the activity of APOBEC1, which is expressed at high levels in the small intestine.

Bioinformatic mining and engineering of serine recombinases yields improved genome editing tools.

We explored age-dependent patterns in sex differences for a wide range of cardiometabolic disease risk factors and observed widespread and divergent patterns for different risk-factor groups. These findings highlight the importance of taking both age and sex into account when assessing a person’s risk of developing cardiometabolic disease.

A recent study proposes a metric to quantify how much information different types of epidemiological surveillance data, such as case counts and death counts, convey about the real-time transmission of an epidemic.

We generated a cattle genotype–tissue expression atlas (CattleGTEx) as part of the farm animal GTEx project. Analysis of 7,180 public RNA-sequencing samples revealed genetic variants that regulate the transcriptome across 23 distinct bovine tissues. Integrating these data with GWAS advances our understanding of the fundamental molecular mechanisms that underpin complex traits in cattle.

Inspired by active learning approaches, we have developed a computational method that selects minimal gene sets capable of reliably identifying cell-types and transcriptional states in large sets of single-cell RNA-sequencing data. As the procedure focuses computational resources on poorly classified cells, active support vector machine (ActiveSVM) scales to data sets with over one million cells.