Multi-Omics Factor Analysis looks for underlying causes of tumor variations by parsing and weighting genomic, epigenomic, transcriptomic, proteomic, and metabolomic data.
The funding will be used to support the the newly established ME/CFS Collaborative Research Center at Stanford University.
The team tested 21 protocols for extracting DNA from human fecal microbiome samples to recommend one to improve comparability between studies.
The team aims to release the new resource sometime next year, with the hope that it will become as widely used as other institute databases.
The four-year project, which ended in 2010, collected DNA samples and lifestyle information from half a million people from the UK.
The institute will work with other HCA members to build a data-coordination platform for the initiative's researchers.
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.
Researchers profiled the genotypes and phenotypes for more than 700 induced pluripotent stem cell lines, uncovering between-individual sources of variation.
The computational method, called DeepCpG, is designed to tease out missing epigenetic marks and related DNA motifs in single-cell DNA methylation data.
A comparison of unstimulated and stimulated CD4+ T cells from young and old mice in two subspecies showed rising cell-to-cell expression variability with age.
National Geographic reports that marine mammals have lost a gene that could make them more susceptible to organophosphate damage.
NPR reports on Human Cell Atlas Consortium's effort to catalog all the different cell types within the human body.
The Union of Concerned Scientists surveyed US government scientists about Trump Administration policies and more, Science reports.
In PNAS this week: history and genetic diversity of the scarlet macaw, approach for predicting human flu virus evolution, and more.