Results
… Machine learning approach significantly expands inovirus diversity. To answer the question, “Where’s Waldo?” … machine “learned” to identify a certain type of bacterial viruses or phages called inoviruses, which are filamentous … combed through more than 70,000 microbial and metagenome datasets, ultimately identifying more than 10,000 …
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… reconstructed more than 2,000 genomes of large and giant viruses belonging to the nucleocytoplasmic large DNA viruses (NCLDV) supergroup. As a result, the giant virus protein space grew from 123,000 to over 900,000 …
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… criteria provides a robust community dataset of improved quality; deep insights identify the most important binding … this, researchers have profiled over 160,000 high-quality single-nuclei transcriptomes, enabling the … in plants such as Arabidopsis and sorghum. Together, these datasets allow scientists to explore how gene regulation …
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… , summarizing insights from three decades of work on giant viruses — providing a perspective on giant virus diversity, and how sequencing and bioinformatics have sped up the study of giant viruses. Kyrpides and the JGI’s IMG/M Data Portal were …
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… Yeah, that makes two of us. DAN UDWARY: So the audio quality was terrible. The hardware I was using was terrible. …
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… Fermentation Explorer ( GitHub ) with a series of large datasets. One test was to predict traits of more than 400 … Datasets … Datasets … Datasets …
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… Mentor: Yumary Vasquez Project: AI Agent for Giant Virus Research Mohammad Abdulqader Mentors: Andrei …
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… and work order creation and management, automated sequence quality control and automation of microbial/metagenomic … the Shared Components Team Lead Data Warehouse and Software Quality Assurance teams from April 2012 to 2018. …
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