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Machine learning approach significantly expands inovirus diversity. … and metagenomic databases. In this case, the machine “learned” to identify a certain type of bacterial viruses or phages called inoviruses, which are filamentous …

… product dioxin ubiquinone, which actually comes from a marine bacterium. And so, I was working on chemically … And on the one hand, it was really great training and I learned a lot. But oftentimes, it would be very frustrating … lab, I got great exposure to working with Streptomyces, learning more about genome mining, as well as isolation and …

… on and around Earth outnumber the stars in the Milky Way, viruses outnumber the microbes by at least another order of … lending their expertise in developing and managing public viral genomics resources such as analytical tools and data … Biotechnology , 2024), and iPHoP , an integrated machine learning framework to maximize host prediction for …

… physical disability, you’re gonna love it and enjoy it and learn a ton. And for those of us who already work in natural … spike protein and the ACE2 receptor, so we’re looking at viral entry inhibitors. But the other important part of our … on plant natural products. Rich, rich in bacterial and marine stuff. So we need more people annotating. It will …

… expands the global diversity of large and giant viruses. While the microbes in a single drop of water could … dubbed “Klosneuviruses.” Previously known members of the viral lineages in the NCLDV group infect mainly protists and … to viral lineages, and predominantly in samples from marine (55%) and freshwater (40%) environments. As a result, …

… feedstock crops or model plants. Projects targeting marine systems must clearly demonstrate relevance and … applicant/community, and track record of the applicant.  Learn about the general review process or get details on the …

Microbial cells infected by viruses undergo metabolic reprogramming. The Science If it … how virus infections cause significant metabolic changes in marine microbes, the answer is no. They refer to the … how nutrient availability, or lack thereof, impacts viral infection and the metabolism of the resulting …

… the rest of the biosynthetic gene cluster. And so we’ve learned a lot about how biosynthesis pathways happen, just … put out some software called DeepBGC , which is a machine learning tool that tries to look at patterns of Pfams … come from all kinds of disparate environments. There’s some marine. There’s some soil samples. There’s human gut …

… follow the steps outlined below. Click the drop-downs to learn more about each step in the process. If you have any …

… and energy genomics. Click on the images below to learn about the science depicted. The two-story JGI mural …

In microbial mats, communities of microorganisms live among viruses that infect them. But what trends govern those … methods for the first time to comprehensively characterize viral-host interactions. The team discovered that the mat’s … instead of lysing them, which appears to be prevalent in marine environments, they were predicted to simply abide …

Dr. Roux joined the JGI in 2017 to lead viral genomics research as part of the Metagenome Program. … the design of new experimental approaches to link viruses to their host(s), collaboration with JGI users for … 11, 237 Roux et al., 2023. iPHoP: An integrated machine learning framework to maximize host prediction for …