John Earls
Senior Software Engineer
Hood-Price Lab
isbscience.org/bio/john-earls/
John Earls is completing his PhD in Computer Science at the University of Washington-Seattle. He is currently developing methods and systems to enable large-scale integrative analysis of personal Dense, Dynamic Data clouds to maximize wellness and predict disease in its earliest stages.
- M.S. Bioinformatics, University of Illinois
- M.S. Computer Science, University of Washington
Machine Learning, pD3 clouds, Software Engineering, Systems Architecture
Magis, Andrew T., John C. Earls, Youn-Hee Ko, James A. Eddy, and Nathan D. Price. 2011. “Graphics Processing Unit Implementations of Relative Expression Analysis Algorithms Enable Dramatic Computational Speedup.” Bioinformatics (Oxford, England) 27 (6): 872–73. https://doi.org/10.1093/bioinformatics/btr033. Cite
Earls, John C., James A. Eddy, Cory C. Funk, Younhee Ko, Andrew T. Magis, and Nathan D. Price. 2013. “AUREA: An Open-Source Software System for Accurate and User-Friendly Identification of Relative Expression Molecular Signatures.” BMC Bioinformatics 14. https://doi.org/10.1186/1471-2105-14-78. Cite
Ko, Younhee, Seth A. Ament, James A. Eddy, Juan Caballero, John C. Earls, Leroy Hood, and Nathan D. Price. 2013. “Cell Type-Specific Genes Show Striking and Distinct Patterns of Spatial Expression in the Mouse Brain.” Proceedings of the National Academy of Sciences of the United States of America 110 (8): 3095–3100. https://doi.org/10.1073/pnas.1222897110. Cite
Price, Nathan D., Andrew T. Magis, John C. Earls, Gustavo Glusman, Roie Levy, Christopher Lausted, Daniel T. McDonald, et al. 2017. “A Wellness Study of 108 Individuals Using Personal, Dense, Dynamic Data Clouds.” Nature Biotechnology. https://doi.org/10.1038/nbt.3870. Cite
Ghosh, Dhimankrishna, Cory C. Funk, Juan Caballero, Nameeta Shah, Katherine Rouleau, John C. Earls, Liliana Soroceanu, et al. 2017. “A Cell-Surface Membrane Protein Signature for Glioblastoma.” Cell Systems 4 (5): 516-529.e7. https://doi.org/10.1016/j.cels.2017.03.004. Cite
Ament, Seth A., Jocelynn R. Pearl, Andrea Grindeland, Jason St Claire, John C. Earls, Marina Kovalenko, Tammy Gillis, et al. 2017. “High Resolution Time-Course Mapping of Early Transcriptomic, Molecular and Cellular Phenotypes in Huntington’s Disease CAG Knock-in Mice across Multiple Genetic Backgrounds.” Human Molecular Genetics 26 (5): 913–22. https://doi.org/10.1093/hmg/ddx006. Cite
Magis, Andrew T., John C. Earls, Gustavo Glusman, Gilbert S. Omenn, Jennifer C. Lovejoy, Nathan D. Price, and Leroy Hood. 2018. “Reply to ‘Precision Medicine in the Clouds.’” Nature Biotechnology 36 (8): 680–82. https://doi.org/10.1038/nbt.4211. Cite
Wilmanski, Tomasz, Noa Rappaport, John C. Earls, Andrew T. Magis, Ohad Manor, Jennifer Lovejoy, Gilbert S. Omenn, Leroy Hood, Sean M. Gibbons, and Nathan D. Price. 2019. “Blood Metabolome Predicts Gut Microbiome α-Diversity in Humans.” Nature Biotechnology. https://doi.org/10.1038/s41587-019-0233-9. Cite
Earls, John C., Noa Rappaport, Laura Heath, Tomasz Wilmanski, Andrew T. Magis, Nicholas J. Schork, Gilbert S. Omenn, Jennifer Lovejoy, Leroy Hood, and Nathan D. Price. 2019. “Multi-Omic Biological Age Estimation and Its Correlation With Wellness and Disease Phenotypes: A Longitudinal Study of 3,558 Individuals.” The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 74 (Supplement_1): S52–60. https://doi.org/10.1093/gerona/glz220. Cite
Piening, Brian D., Jennifer Lovejoy, and John C. Earls. 2020. “Ageotypes: Distinct Biomolecular Trajectories in Human Aging.” Trends in Pharmacological Sciences 41 (5): 299–301. https://doi.org/10.1016/j.tips.2020.02.003. Cite