Results

Large-scale genomic analyses with machine learning uncover predictive patterns associated with fungal phytopathogenic lifestyles and traits
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Improved Gene Annotation of the Fungal Wheat Pathogen Zymoseptoria tritici Based on Combined Iso-Seq and RNA-Seq Evidence.
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Engagement Webinar: Accessing NEON’s Environmental Sample Archives, Applying JGI & EMSL Omics Tools
… data to better understand how U.S. ecosystems are changing.  Through the  “Facilities Integrating Collaborations … more about BioSANS. Letters of Intent are due March 17, 2021 for the FICUS proposal call. Q&A from the Webinar: Q(uestion): Can I apply as a postdoc, or …
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Metagenomics
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A near complete snapshot of the Zea mays seedling transcriptome revealed from ultra-deep sequencing
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One Complete and Seven Draft Genome Sequences of Subdivision 1 and 3 Acidobacteria Isolated from Soil
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Draft Genome Sequence of Methylocapsa palsarum NE2T, an Obligate Methanotroph from Subarctic Soil
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Genome Sequence of Methanosarcina soligelidi SMA-21, Isolated from Siberian Permafrost-Affected Soil
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Genome sequence of the Thermotoga thermarum type strain (LA3T) from an African solfataric spring
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Draft genome sequence of Clostridium tetanomorphum DSM 4474T isolated from a septic wound
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Aquifer environment selects for microbial species cohorts in sediment and groundwater
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Genomic insights into the Acidobacteria reveal strategies for their success in terrestrial environments
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