In Science this week: series of reviews about gene modification, and more.
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.
Researchers describe a way to share data while keeping it secure, Agence France Presse reports.
In Science this week: genetic mutations typically associated with esophageal cancer are common in older, healthy individuals, and more.
India's Council of Scientific and Industrial Research has a new director-general, according to ScienceInsider.
A new study links more than a hundred genes to autism spectrum disorder, Discover's D-brief blog reports.