Led by researchers at BBMRI-ERIC, the effort intends to clarify how entities should share data, including genomics information, across institutions and countries.
Multi-Omics Factor Analysis looks for underlying causes of tumor variations by parsing and weighting genomic, epigenomic, transcriptomic, proteomic, and metabolomic data.
Researchers applied a SNP heritability model called LDAK to genetic data for a range of human traits, uncovering relatively high levels of variance explained by SNPs.
