Editorial: Advances in Applied Bioinformatics in Crops

Abstract

Big Data in life science is scattered across hundreds of unstructured data sets, biological databases and thousands of scientific journals. Modern crop research relies on high-throughput technologies that generate large quantities of high-dimensional data. The challenge for Applied Bioinformatics is to capture, model, integrate, analyze, visualize and make these data accessible in a FAIR way. This, in turn, translates directly to the improvement of our understanding of crop biology, and in practical terms results in the development of new elite genotypes and improvement of plant cultivation strategies.

Topics & Concepts