Sequencing articles from across Nature Portfolio

Scientists have used low-error genome-sequencing methods in normal tissues from large cohorts of individuals to scan for mutations that set the stage for cancer.

Rapid identification of pathogenic viruses remains a critical challenge. A recent study advances this frontier by demonstrating a fully integrated memristor-based hardware system that accelerates genomic analysis by a factor of 51, while reducing energy consumption to just 0.2% of that required by conventional computational methods.

We developed scEpi²-seq, a single-cell method which jointly profiles DNA methylation and histone modifications from the same DNA molecule. This multi-omic strategy reveals how chromatin context influences the maintenance of DNA methylation and identifies distinct epigenomic signatures across cell types in both cultured and primary tissues.

Recent advances in forensic genetics have improved the range, precision and reliability of forensic information obtainable from biological trace material. The author reviews how non-targeted and targeted omics approaches and methods are improving crime scene analyses being applied for the identification of perpetrators and their relatives or victims, the prediction of phenotypic traits, and the determination of trace characteristics.

A new version of nanorate DNA sequencing, with an error rate lower than five errors per billion base pairs and compatible with whole-exome and targeted capture, enables epidemiological-scale studies of somatic mutation and selection and the generation of high-resolution selection maps across coding and non-coding sites for many genes.

Scientists have used low-error genome-sequencing methods in normal tissues from large cohorts of individuals to scan for mutations that set the stage for cancer.

MetaGraph compresses vast data archives into a search engine for scientists, opening up new frontiers of biological discovery.

Rapid identification of pathogenic viruses remains a critical challenge. A recent study advances this frontier by demonstrating a fully integrated memristor-based hardware system that accelerates genomic analysis by a factor of 51, while reducing energy consumption to just 0.2% of that required by conventional computational methods.

We developed scEpi²-seq, a single-cell method which jointly profiles DNA methylation and histone modifications from the same DNA molecule. This multi-omic strategy reveals how chromatin context influences the maintenance of DNA methylation and identifies distinct epigenomic signatures across cell types in both cultured and primary tissues.

Targeted deaminase-accessible chromatin sequencing (TDAC-seq) measures chromatin accessibility across long chromatin fibers at targeted loci using double-stranded DNA cytidine deaminases. When combined with pooled CRISPR mutational screening, TDAC-seq enables the high-throughput detection of changes in chromatin accessibility following CRISPR perturbations, allowing fine mapping of sequence–function relationships within endogenous cis-regulatory elements.

Leveraging data generated by UUATAC-seq, a method for cross-species chromatin accessibility profiling, the deep learning model NvwaCE deciphers cis-regulatory grammar from DNA sequence.