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The advance of high throughput technologies has given rise to a wealth of genome-wide data encompassing environmental, genetic, and evolutionary diversity. This has revolutionized agricultural research and crop breeding, yielding abundant resources and insights that drive key innovations. However, it remains a major challenge to effectively digest these massive datasets to formulate hypotheses, explore genome evolution, and elucidate regulatory mechanisms underlying critical biological processes. To address this challenge, Dr. Fei's group has focused on developing genomic tools, databases, resources, and novel algorithms to analyze and integrate large-scale 'omics' datasets, with the goal of uncovering and understanding important biological phenomena. Research in my lab focuses on:
  1. developing biological databases and computational tools for efficient storage, management, dissemination, and mining of diverse 'omics' datasets.
  2. building large-scale genomic resources to advance research and crop improvement.
  3. applying integrated bioinformatics and genomics approaches for trait discovery, crop improvement, and knowledge advancement.