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Big data challenges in genome informatics.

Ka-Chun Wong
Published in: Biophysical reviews (2019)
In recent years, we have witnessed a big data explosion in genomics, thanks to the improvement in high-throughput technologies at drastically decreasing costs. We are entering the era of millions of available genomes. Notably, each genome can be composed of billions of nucleotides stored as plain text files in gigabytes (GBs). It is undeniable that those genome data impose unprecedented data challenges for us. In this article, we briefly discuss the big data challenges associated with genomics in recent years.
Keyphrases
  • big data
  • artificial intelligence
  • machine learning
  • high throughput
  • single cell
  • genome wide
  • deep learning
  • gene expression
  • room temperature
  • ionic liquid
  • data analysis