What question did this study set out to answer?

To evaluate the growth trajectory of genomics and determine whether its computational demands will surpass those of other major Big Data generators by the year 2025.

July 7, 2015PLoS BiologyOpen Access

Big Data: Astronomical or Genomical?

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Authors

ZSZachary StephensMayo Clinic in Florida SLSkylar Y. LeeUniversity of Illinois Urbana-Champaign FFFaraz FaghriNational Institutes of Health

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Implication

Comparative projection analysis reveals genomics will match or exceed other major data domains by 2025, highlighting urgent needs for novel computational infrastructure.

Key Points

To evaluate the growth trajectory of genomics and determine whether its computational demands will surpass those of other major Big Data generators by the year 2025.
Projected data requirements to the year 2025 for genomics alongside three prominent Big Data domains: astronomy, YouTube, and Twitter.
Quantitatively and qualitatively evaluated computing needs across four fundamental phases: data acquisition, storage, distribution, and analysis.
Genomics represents an immense computational challenge that equals or exceeds astronomy, YouTube, and Twitter across all four examined operational domains.
Identified critical upcoming bottlenecks in computing and storage capacity, emphasizing the need for community-wide planning and technological innovation over the coming decade.

Cite This Study

Stephens et al. (2015) studied this question.

synapsesocial.com/papers/69d70ee899397875bbaa835b https://doi.org/10.1371/journal.pbio.1002195

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Implication

Comparative projection analysis reveals genomics will match or exceed other major data domains by 2025, highlighting urgent needs for novel computational infrastructure.

Big Data: Astronomical or Genomical?

Discussion

Member takes

Implication

Key Points

Cite This Study

Big Data: Astronomical or Genomical?

Discussion

Member takes

Implication

Key Points

Cite This Study

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