Literature DB >> 30140966

More than Moore's Mores: Computers, Genomics, and the Embrace of Innovation.

Joseph November1.   

Abstract

The genomics community has frequently compared advances in sequencing to advances in microelectronics. Lately there have been many claims, including by the National Human Genome Research Institute (NHGRI), that genomics is outpacing developments in computing as measured by Moore's law - the notion that computers double in processing capability per dollar spent every 18-24 months. Celebrations of the "$1000 genome" and other speed-related sequencing milestones might be dismissed as a distraction from genomics' slowness in delivering clinical breakthroughs, but the fact that such celebrations have been persistently encouraged by the NHGRI reveals a great deal about the priorities and expectations of the American general public, the intended audience of the genomics-computing comparison. By delving into the history of speculative thinking about sequencing and computing, this article demonstrates just how much more receptive to high-risk/high-payoff ventures the NIH and the general public have become. The article also provides access to some of the roots and consequences of the association of "innovation talk" with genomics, and the means to look past that association to the less glamorous (but arguably much more important) contributions of the NHGRI to building the field of genomics.

Entities:  

Keywords:  $1000 genome; Carlson Curve; Computers; Genome; Genomics; Gordon Moore; High-speed; Human Genome Project; Innovation; Maintenance; Microelectronics; Microprocessors; Moore's law; NHGRI; NIH; National Human Genome Research Institute; National Institutes of Health; Robert Ledley; Sequencing; Speed

Mesh:

Year:  2018        PMID: 30140966     DOI: 10.1007/s10739-018-9539-6

Source DB:  PubMed          Journal:  J Hist Biol        ISSN: 0022-5010            Impact factor:   1.326


  13 in total

1.  Dr. Sanger, meet Mr. Moore: next-generation sequencing is driving new questions and new modes of research.

Authors:  Hallam Stevens
Journal:  Bioessays       Date:  2011-11-02       Impact factor: 4.345

2.  The story behind the development of the first whole-body computerized tomography scanner as told by Robert S. Ledley.

Authors:  Dean F Sittig; Joan S Ash; Robert S Ledley
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

3.  DIGITAL COMPUTATIONAL METHODS IN SYMBOLIC LOGIC, WITH EXAMPLES IN BIOCHEMISTRY.

Authors:  R S Ledley
Journal:  Proc Natl Acad Sci U S A       Date:  1955-07-15       Impact factor: 11.205

4.  Anticipating the 1,000 dollar genome.

Authors:  Elaine R Mardis
Journal:  Genome Biol       Date:  2006       Impact factor: 13.583

5.  Whatever happened to the genetic map?

Authors:  L Roberts
Journal:  Science       Date:  1990-01-19       Impact factor: 47.728

Review 6.  Personalized genomic information: preparing for the future of genetic medicine.

Authors:  Alan E Guttmacher; Amy L McGuire; Bruce Ponder; Kári Stefánsson
Journal:  Nat Rev Genet       Date:  2010-01-12       Impact factor: 53.242

7.  Charting a course for genomic medicine from base pairs to bedside.

Authors:  Eric D Green; Mark S Guyer
Journal:  Nature       Date:  2011-02-10       Impact factor: 49.962

8.  Clinical application of whole-genome sequencing: proceed with care.

Authors:  William Gregory Feero
Journal:  JAMA       Date:  2014-03-12       Impact factor: 56.272

9.  After Innovation, Turn to Maintenance.

Authors:  Andrew L Russell; Lee Vinsel
Journal:  Technol Cult       Date:  2018       Impact factor: 0.850

10.  The Promise and the Hype of 'Personalised Medicine'.

Authors:  Tim Maughan
Journal:  New Bioeth       Date:  2017-04
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  1 in total

Review 1.  Activity-Based Protein Profiling (ABPP) of Oxidoreductases.

Authors:  Rita Fuerst; Rolf Breinbauer
Journal:  Chembiochem       Date:  2020-10-20       Impact factor: 3.164

  1 in total

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