Cotton is the most important natural fiber crop in the world. With the global population growth and climate change, cotton cultivation is also facing sustainable development issues. Demand for further improve the agronomic traits such as fiber length, quality, and yield, as well as environment adaption and disease or pest resistance, continues to increase.
With the development of modern technology, the study of cotton biology has been moving forward a multidisciplinary approach that merges methodologies and techniques in chemistry, physics, and informatics et al. In this context, high-throughput multivariate omics data is constantly being produced.
The cotton big data innovation center (BICC) belongs to the Institute for advanced studies (IAS) of Wuhan University. BICC is an interdisciplinary and coordinated research center, founded in 2016. We aim to systematically discover and solve the questions on cotton development through generating, integrating, processing, and analyzing the big data from genomics, transcriptomics, proteomics, and metabolomics et al. We hope to apply our findings to breeding improvement of cotton.
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