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Learning to see

Published:20 November 2018Publication History
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Abstract

Machine learning turns the spotlight on elusive viruses.

References

  1. Wooley, J.C., Godzik, A., and Friedberg, I. A Primer on Metagenomics, PLOS Computational Biology 6(2): e1000667 (2010).Google ScholarGoogle ScholarCross RefCross Ref
  2. Anantharaman, K., et. al. Thousands of Microbial Genomes Shed Light on Interconnected Biogeochemical Processes in an Aquifer System, Nature Communications (2016) 7:13219.Google ScholarGoogle Scholar
  3. Krishnamurthy, S. and Wang, D. Origins and Challenges of Viral Dark Matter, Virus Research, 239 (2017) 136-142.Google ScholarGoogle ScholarCross RefCross Ref
  4. Roux, S., Hallam, S.J, Woyke, T., and Sullivan, M.B. Viral Dark Matter and Virus-Host Interactions Resolved from Publicly Available Microbial Genomes, ELife (2015) 4:e08490.Google ScholarGoogle Scholar

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  1. Learning to see

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        cover image Communications of the ACM
        Communications of the ACM  Volume 61, Issue 12
        December 2018
        104 pages
        ISSN:0001-0782
        EISSN:1557-7317
        DOI:10.1145/3293542
        Issue’s Table of Contents

        Copyright © 2018 ACM

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        New York, NY, United States

        Publication History

        • Published: 20 November 2018

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