The real cost of sequencing: scaling computation to keep pace with data generation

Genome Biol. 2016 Mar 23:17:53. doi: 10.1186/s13059-016-0917-0.

Abstract

As the cost of sequencing continues to decrease and the amount of sequence data generated grows, new paradigms for data storage and analysis are increasingly important. The relative scaling behavior of these evolving technologies will impact genomics research moving forward.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms
  • Biomedical Research
  • Computational Biology / methods
  • Computational Biology / trends*
  • Genomics
  • High-Throughput Nucleotide Sequencing / economics*
  • High-Throughput Nucleotide Sequencing / methods
  • Humans
  • Information Storage and Retrieval