Results

The Genomes On Line Database (GOLD) in 2007: status of genomic and metagenomic projects and their associated metadata
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ALE: a generic assembly likelihood evaluation framework for assessing the accuracy of genome and metagenome assemblies
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BIGMAC : breaking inaccurate genomes and merging assembled contigs for long read metagenomic assembly
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Metagenomes and Metagenome-Assembled Genomes from Microbiomes Metabolizing Thin Stillage from an Ethanol Biorefinery
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MGM Workshop at Fisabio Summer School 2025
… Register here The workshop is addressed to students and professionals of biology, biomedical research, the health sciences and … sharing concepts, tools and research results in genomics, metagenomics and the human microbiome. The workshop will …
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JGIota: Looking Back at How Cow Rumen Samples Landed on a Syllabus
… paper in the journal Science . It detailed how they’d used metagenomics to identify over 27,000 microbial genes. The … University campuses for biotechnology education as part of a course-based undergraduate resource experience. Hear from CSU San Marcos Professor Matt Escobar and UC Davis Associate Professor …
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MGM Workshop at Fisabio Summer School 2026
… Register here for the workshop The MGM Workshop is Module 4 of the Fisabio Summer School.  The workshop is addressed to students and professionals of biology, biomedical research, the health … sharing concepts, tools and research results in genomics, metagenomics and the human microbiome. The workshop will …
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Shotgun metagenome data of a defined mock community using Oxford Nanopore, PacBio and Illumina technologies
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Microbial life under ice: Metagenome diversity and in situ activity of Verrucomicrobia in seasonally ice‐covered Lakes
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Genus-Wide Assessment of Lignocellulose Utilization in the Extremely Thermophilic Genus Caldicellulosiruptor by Genomic, Pangenomic, and Metagenomic Analyses
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FOAM (Functional Ontology Assignments for Metagenomes): a Hidden Markov Model (HMM) database with environmental focus
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MaxBin: an automated binning method to recover individual genomes from metagenomes using an expectation-maximization algorithm
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