Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
PolyGembler, a method for grouping and ordering contigs into complete pseudomolecules by combining long-read sequencing and genotype information from an outbred mapping population, improves the accuracy for assembly of polyploidy plant genomes.
CHESS is an algorithm that compares chromatin contact maps and identifies differential features. It can analyze interspecies syntenic regions and three-dimensional changes caused by genetic perturbation.
MR-JTI, a unified framework for joint-tissue imputation and Mendelian randomization, improves prediction performance in a tissue-dependent manner when applied to large-scale biobanks and meta-analysis data.
STAAR is a powerful rare variant association test that incorporates variant functional categories and complementary functional annotations using a dynamic weighting scheme based on annotation principal components. STAAR accounts for population structure and relatedness and is scalable for analyzing large whole-genome sequencing studies.
The HDL method improves the precision in genetic correlation estimation over LD score regression when applied to GWAS summary statistics of complex traits from the UK Biobank.
SAIGE-GENE is a scalable generalized mixed-model region-based association test that can analyze large datasets while accounting for sample relatedness and unbalanced case–control ratios for binary traits.
A new association method using both case–control status and family history (LT-FH) greatly increases association power in analyses of 12 diseases from the UK Biobank.