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… natural products, O’Malley and her team plan to use genetic tools to boost production and isolate the compounds. …

… to link experimental evidence across species. Centralized databases with large-scale transcriptome projects such as … is an updateable resource. To demonstrate that, we included datasets from two species, one of which is sweet sorghum Rio … seven more groups joined the project to contribute to the data for six new species. I must mention that some of the …

… and research scientist in Nikos Kyrpides’  Microbiome Data Science group. “What makes this study really stand out … Adding Value Beyond Genome Sequences Much of the data had been generated from environmental samples  … Eloe-Fadrosh noted that it was a nice example of “big-data” mining to gain a deeper understanding of the data and …

… eukaryotic microbes and viruses in environmental sequence data. Dr. Schulz employs multi-omics (metagenomics, …

… we provide advanced genomic capabilities, large-scale data, and professional expertise to support the global …

… Populus across genotypes and environments. 2024 Nature Sci Data. 11, 339. https://doi.org/10.1038/s41597-024-03069-7  …

… Lead Dan Rokhsar , Molecular Biology & Genetics Staff Data Scientist Asaf Salamov, Plant & Animal Science category … to develop guidelines and best practices for defining virus data quality. Reported in Nature Biotechnology, the work … source, methods of identification of the virus genome, and data quality. Go here to learn more about the project. …

… Nikos Kyrpides, Natalia Ivanova and Simon Roux, along with data from a consortium that included Susannah Tringe and …

… and analyze the single nuclei and spatial transcriptomics data this work leverages.   These experiments focused on two … hair. At such resolution, this spatial transcriptomics data captured molecular information from both plant cells … in addition to associated plant genes.  All together, these data offer a granular view of both plant and fungal activity …

… Czech Academy of Sciences first needed to build a detailed database on the denizens in the soil. While large protein databases, like UniProt, exist, are not specific enough for … from their soil samples. This gene expression dataset was particularly important for characterizing fungal …

… synthesis support, sequencing, integrative -omics, and data mining, empowering research collaborators to take on … screens for characterization of new enzymes and use the data we generated to train machine learning models now …