bioRxiv preprint doi: https://doi.org/10.1101/2020.07.16.206243; this version posted July 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. 1 1 Title: Insights from the reanalysis of high-throughput chemical genomics data for 2 Escherichia coli K-12 3 Authors: Peter I-Fan Wu1, Curtis Ross1, Deborah A. Siegele2 and James C. Hu1,3 4 5 Affiliations: 6 1. Department of Biochemistry and Biophysics, Texas A&M University and Texas 7 Agrilife Research, College Station, TX 77843-2128 8 2. Department of Biology, Texas A&M University, College Station, TX 77843-3258 9 3. Deceased 10 11 Correspondence:
[email protected] 12 13 14 Key words: phenotypic profiling, functional genomics, microbial genomics, biostatistics, 15 Escherichia coli, bacterial genetics 16 17 bioRxiv preprint doi: https://doi.org/10.1101/2020.07.16.206243; this version posted July 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. 2 18 ABSTRACT 19 Despite the demonstrated success of genome-wide genetic screens and chemical 20 genomics studies at predicting functions for genes of unknown function or predicting 21 new functions for well-characterized genes, their potential to provide insights into gene 22 function hasn't been fully explored.