Bayesian Inference for Integrating Yarrowia lipolytica Multiomics Datasets with Metabolic Modeling-Reference-Cited by-同舟云学术

Bayesian Inference for Integrating Yarrowia lipolytica Multiomics Datasets with Metabolic Modeling

Published:2021-10-12 Issue:11 Volume:10 Page:2968-2981
ISSN:2161-5063
Container-title:ACS Synthetic Biology
language:en
Short-container-title:ACS Synth. Biol.

Author:

McNaughton Andrew D.¹^ORCID,Bredeweg Erin L.¹,Manzer James¹,Zucker Jeremy¹,Munoz Munoz Nathalie¹,Burnet Meagan C.¹,Nakayasu Ernesto S.¹^ORCID,Pomraning Kyle R.²,Merkley Eric D.³^ORCID,Dai Ziyu²^ORCID,Chrisler William B.¹,Baker Scott E.¹,St. John Peter C.⁴^ORCID,Kumar Neeraj¹^ORCID

Affiliation:

1. Earth and Biological Science Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States

2. Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States

3. National Security Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States

4. Biosciences Center, National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, Colorado 80401, United States

Funder

U.S. Department of Energy

Publisher

American Chemical Society (ACS)

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Biomedical Engineering,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acssynbio.1c00267

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