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… it makes its sequencing, synthesis, metabolomics and data analyses capabilities available on a peer-reviewed … being used to integrate the metabolomics and transcriptomic data? A:  We use MAGI. Reference: Erbiligin et al.  MAGI: A … Epub 2019 Apr 4. Q:  Any advice on normalizing metabolomic data from a whole microbial community, without having cell …

I started this, uh, summer internship was working with big data, but something that I learned from this program was how … And I’m excited to take that with me, along with other tools that I can use to, um, perform computational biology.  …

… focus on Microbiome Research with an emphasis on Microbiome Data Science. His group is developing novel methods for … analysis, as well as mining and visualization of big data. … BA in Biology, Aristotle University of Thessaloniki, …

… is working on the display and visualization of large omics data. …

… of large amount isolate genomic and metagenomic data stored in Oracle databases, Berkeley DB and files in various formats. …

… has been really crucial.  DAN: Yeah, yeah. The more data you generate, the more knowledge you can generate. So …

… metagenomes. He also works on automating intra-department data exchange and assists with large scale computations on …

… , Susannah Tringe , and Tanja Woyke  were part of a “big data” mining effort reported in  Nature Biotechnology that … from environmental samples around the world. Much of the data had been generated from samples provided by more than …

… used 1,870 known virus-host pairs to generate a matrix of data points.  Applied to 216,015 high-quality virus sequences in the IMG/VR database, the iPHoP program generated many new … reflecting factors such as the quality and number of datasets for human microbiome data. In other environments, …

We work with start-ups and mature companies, as long as the data are not proprietary. In addition, the JGI has a … instrumental support, how much help can users expect for data analysis of the different omics analysis? Are users expected to be trained to handle the huge amounts of data for each of the different analysis? A:  We go from …

… of fungi, by lifestyles. The machine “learned” to identify data generated in part through the 1000 Fungal Genomes … fungal lifestyles of saprobes and pathogens based on the data provided. In this proof of concept test, the team … S et al.  Studies in Mycology , 2020.) Using whole genome data from newly sequenced genomes, they also built a …