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… technologies and methodologies that facilitate discovery of new secondary metabolites. Prior to joining the JGI, he … BS, Engineering, Tokyo Institute of Technology Master's, Biotechnology, University of Tokyo PhD, Biotechnology, University of Tokyo … Udwary DW, Mouncey NJ. Comparative and pangenomic analysis of the genus Streptomyces. Sci Rep. 2022 Nov 7;12(1):18909. …

… efforts to expand the metabolomics capabilities and product offerings for JGI users.  Using cutting-edge mass … techniques, the platform delivers rich metabolite profiles from diverse biological and environmental samples in support of user science.  Capabilities offered by the platform are a …

… Department at the Joint Genome Institute. His team of engineers and scientists builds and operates the data and … science.  Dr. Sneddon is an accomplished leader in data, software, compute, and AI for large-scale genomics and lab … Prior to joining JGI in late 2025, he served as Director of Scientific Computing at Predicine, an NGS-based clinical …

… University of California, San Diego (PhD, 2011) Rensselaer Polytechnic … List of pubs available on NCBI … Implementation of the Index of Cell Identity as an R package … Selected Publications … Software …

… Dr. Yasuo Yoshikuni has been head of the DNA Synthesis Science Program since 2015. The mission of this program is to harness the power of DNA synthesis, strain engineering, and biosystems design … at the JGI. Click to learn more about the program's areas of focus, major initiatives and more.  …

… Dr. Blaby-Haas joined the JGI in 2022 as lead of the Biomolecular Materials Initiative, a partnership … at Berkeley Lab. She is spearheading the development of a joint user capability between the JGI and Molecular … Microbiology and Cell Science in 2011 from the University of Florida, working with Valérie de Crécy-Lagard on using …

… BS – University of Arkansas, Fayetteville, Chemical Engineering Ph. D. – … 2024 Berkeley Lab Recognition of Excellence Award 2016 R&D 100 Winner 2014 Berkeley Lab … T., Ruebel, O., Northen, T., & Bowen, B. (2015). Analysis of metabolomics datasets with high-performance computing and …