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Validating Regulatory Predictions from Diverse Bacteria with Mutant Fitness Data

Shiori Sagawa, Morgan N. Price, Adam M. Deutschbauer, Adam P. Arkin
doi: https://doi.org/10.1101/091405
Shiori Sagawa
1Department of Molecular and Cell Biology University of California, Berkeley CA, USA
2Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley CA, USA
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Morgan N. Price
2Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley CA, USA
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Adam M. Deutschbauer
2Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley CA, USA
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Adam P. Arkin
2Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley CA, USA
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Article Information

doi 
https://doi.org/10.1101/091405
History 
  • December 6, 2016.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Shiori Sagawa1,2,
  2. Morgan N. Price2*,
  3. Adam M. Deutschbauer2 and
  4. Adam P. Arkin2
  1. 1Department of Molecular and Cell Biology University of California, Berkeley CA, USA
  2. 2Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley CA, USA
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Posted December 06, 2016.
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Validating Regulatory Predictions from Diverse Bacteria with Mutant Fitness Data
Shiori Sagawa, Morgan N. Price, Adam M. Deutschbauer, Adam P. Arkin
bioRxiv 091405; doi: https://doi.org/10.1101/091405
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Validating Regulatory Predictions from Diverse Bacteria with Mutant Fitness Data
Shiori Sagawa, Morgan N. Price, Adam M. Deutschbauer, Adam P. Arkin
bioRxiv 091405; doi: https://doi.org/10.1101/091405

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