Software articles from across Nature Portfolio

Here, the authors present RecombinHunt, a computational method based on big data analysis, that enhances community-based detection of recombinant viral lineages.

Powered by deep-learning algorithms, artificial intelligence systems could replace agents such as chemicals currently used to augment medical scans.

Wearable sweat sensors could be used to monitor patients with heart failure, providing a route to personalized and automated patient management in hospitals and at home.

Diploid assembly is a difficult task that requires several types of genomic sequencing data, including — but not limited to — HiFi reads and parental sequences. Hypo-assembler, an assembly algorithm, uses high quality solid k-mers extracted from Illumina data alongside Nanopore reads to produce a high-quality diploid assembly using only Nanopore and Illumina data.

Scientists are already using image-generating models to jazz up papers and presentations. But some say these tools could harm research.

Spatial omics enables the molecular profiling of cells with the tissue context preserved. A new analytic approach shows how cellular neighborhood analysis and feature augmentation can spatially connect and cluster millions of cells into higher-order functional units.