Combining Partially Overlapping Multi-Omics Data in Databases Using Relationship Matrices.

ABSTRACT: Private and public breeding programs, as well as companies and universities, have developed different genomics technologies that have resulted in the generation of unprecedented amounts of sequence data, which bring new challenges in terms of data management, query, and analysis. The magnitude and complexity of these datasets bring new challenges but also an opportunity to use the data available as a whole. Detailed phenotype data, combined with increasing amounts of genomic data, have an enormous potential to accelerate the identification of key traits to improve our understanding of quantitative genetics. Data harmonization enables cross-national and international comparative research, facilitating the extraction of new scientific knowledge. In this paper, we address the complex issue of

SUBMITTER: Akdemir D 

PROVIDER: S-EPMC7381228 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature