Results
… Igor Grigoriev Natalia Ivanova Nikos Kyrpides Dan Rokhsar Simon Roux Jeremy Schmutz Susannah Tringe Tanja Woyke Below are a … featuring aspects of the Integrated Microbial Genomes & Microbiomes (IMG/M) Nikos Kyrpides was part of an …
Learn more
… . You can find additional webinars covering how to use our data portals here. …
Learn more
… Database provides details on river microbes in 90% of US … and agriculture. Understanding the compositions of river microbiomes—who the core microbes are and what they do—can … University researchers led a consortium to study river microbiomes. To understand the microbiology of watershed …
Learn more
… National Laboratory. Dr. Kyrpides’ research focus on Microbiome Research with an emphasis on Microbiome Data Science. His group is developing novel methods for … through global metagenomics. Nature . 578:432-436 Roux S. et al. 2019. Cryptic inoviruses are pervasive in …
Learn more
… , leads one project with JGI colleagues Antonio Camargo and Simon Roux. Kyrpides is part of another project led by Owen White … organize and manage the HVP consortium activities. The hub, named Consortium Organization and Data Collaboration Center …
Learn more
… can help researchers assess virus sequence fragments and data quality. The Science Through advances in sequencing … scientist Stephen Nayfach, the study’s first author in the Microbiome Data Science group led by Nikos Kyrpides. To … database that is part of the Integrated Microbial Genomes & Microbiomes (IMG/M) suite, as well as sequences from the …
Learn more
… (Biology and Biochemistry) Dan Rokhsar (Cross-field) Simon Roux (Biology and Biochemistry, Microbiology) Jeremy Schmutz … Nikos Kyrpides, Natalia Ivanova and Simon Roux, along with data from a consortium that included Susannah Tringe and …
Learn more
… — a tool within the Integrated Microbial Genomes and Microbiomes (IMG/M) platform — has been developed to help … environmental conditions may affect metabolic activity of microbiomes. This is key because these examples were picked … Neighbor (KNN) Classification. LDA is a supervised data compression technique that was used to take the …
Learn more
… Academic research only exists through the energy and enthusiasm of young researchers, so it’s important to me to tell … MARC: Well, I’m really biased and I like the bugs in the microbiome. So a lot of my work is as focused on insects As … for a company. Personally, that was my first taste of big data if you want, maybe it’s medium data now. But at the …
Learn more

