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PLoS computational biology
Dec, 2023;19 (12): e1011652.

Ten simple rules for managing laboratory information.

Casey-Tyler Berezin, Luis U Aguilera, Sonja Billerbeck, Philip E Bourne, Douglas Densmore, Paul Freemont, Thomas E Gorochowski, Sarah I Hernandez, Nathan J Hillson, Connor R King, Michael K��pke, Shuyi Ma, Katie M Miller, Tae Seok Moon, Jason H Moore, Brian Munsky, Chris J Myers, Dequina A Nicholas, Samuel J Peccoud, Wen Zhou, Jean Peccoud
Author Information
  1. Casey-Tyler Berezin: Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, Colorado, United States of America. ORCID
  2. Luis U Aguilera: Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, Colorado, United States of America. ORCID
  3. Sonja Billerbeck: Molecular Microbiology Unit, Faculty of Science and Engineering, University of Groningen, Groningen, the Netherlands.
  4. Philip E Bourne: School of Data Science, University of Virginia, Charlottesville, Virginia, United States of America. ORCID
  5. Douglas Densmore: College of Engineering, Boston University, Boston, Massachusetts, United States of America. ORCID
  6. Paul Freemont: Department of Infectious Disease, Imperial College, London, United Kingdom.
  7. Thomas E Gorochowski: School of Biological Sciences, University of Bristol, Bristol, United Kingdom. ORCID
  8. Sarah I Hernandez: Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, Colorado, United States of America. ORCID
  9. Nathan J Hillson: Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America. ORCID
  10. Connor R King: Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, Colorado, United States of America. ORCID
  11. Michael K��pke: LanzaTech, Skokie, Illinois, United States of America.
  12. Shuyi Ma: Center for Global Infectious Disease Research, Seattle Children's Hospital, University of Washington Medicine, Seattle, Washington, United States of America.
  13. Katie M Miller: Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, Colorado, United States of America.
  14. Tae Seok Moon: Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri, United States of America.
  15. Jason H Moore: Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
  16. Brian Munsky: Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, Colorado, United States of America.
  17. Chris J Myers: Department of Electrical, Computer & Energy Engineering, University of Colorado Boulder, Boulder, Colorado, United States of America.
  18. Dequina A Nicholas: Department of Molecular Biology & Biochemistry, University of California Irvine, Irvine, California, United States of America.
  19. Samuel J Peccoud: Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, Colorado, United States of America. ORCID
  20. Wen Zhou: Department of Statistics, Colorado State University, Fort Collins, Colorado, United States of America.
  21. Jean Peccoud: Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, Colorado, United States of America. ORCID
PMID: 38060459 DOI: 10.1371/journal.pcbi.1011652

Abstract

Information is the cornerstone of research, from experimental (meta)data and computational processes to complex inventories of reagents and equipment. These 10 simple rules discuss best practices for leveraging laboratory information management systems to transform this large information load into useful scientific findings.

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Grants

  1. R01 AT009741/NCCIH NIH HHS
  2. R21 AI168482/NIAID NIH HHS
  3. R01 GM144961/NIGMS NIH HHS
  4. DP2 AI171121/NIAID NIH HHS
  5. T32 GM132057/NIGMS NIH HHS
  6. R35 GM124747/NIGMS NIH HHS
  7. R00 HD098330/NICHD NIH HHS
  8. R01 GM147816/NIGMS NIH HHS
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