Metagenomics: genomic analysis of microbial communities.

By C. S. Riesenfeld, Patrick D. Schloss, Jo Handelsman. Annual Review of Genetics, 2004

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View Paper: https://www.semanticscholar.org/paper/2c7377c7cea5e58569cefd6d0a0a8c79c00544e9

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Citations in the corpus

An Overview on Marine Sponge-Symbiotic Bacteria as Unexhausted Sources for Natural Product Discovery (2017, background): “Metagenomics is the culture-independent genomic analysis of DNA extracted from organisms in environmental samples, which has been developed to answer fundamental questions related to microbial-host ecology [197,198].”
A Sustainable Agricultural Future Relies on the Transition to Organic Agroecological Pest Management (2018, background): “Recently, there have been massive advances in the fields of plant breeding and selection [141], phenotyping [142], metagenomics [143], and chemical ecology [144], which can leveraged for progress in organic agroecological sustainable pest management.”
Current challenges and best-practice protocols for microbiome analysis (2019, background): “In contrast to the unimodal phylogenetic analysis based on the diversity of a single gene, for instance, the 16S rRNA gene, metagenomics systemizes multimodal genetic composition of microbial communities and hence provides a better taxonomic resolution and genomic information [31, 32].”
Bracken: estimating species abundance in metagenomics data (2016, neutral): “…possible to sequence uncultured, unprocessed microbial DNA from almost any environment, ranging from soil to the deep ocean to the human body, and use computational sequence comparisons to identify many of the formerly hidden species in these environments (Riesenfeld, Schloss & Handelsman, 2004).”
The Need for Multi-Omics Biomarker Signatures in Precision Medicine (2019, background): “It has also yielded a plethora of other ‘omics’ terms, such as lipidomics [11,12], metagenomics [13], glycomics [14], connectomics [15], cellomics [16], and even foodomics [17,18].”
Large-scale machine learning for metagenomics sequence classification (2015, background): “Because of the large volume of metagenomics datasets, binning methods need fast and accurate algorithms that can operate with reasonable computing requirements.”
Gut microbiome-host interactions in health and disease (2011, background): “Recent advances in sequencing technologies have led to the wider use of metagenomic analysis for studying complex ecosystems such as the human gut [34-36], and some key findings from human studies are outlined in Table 1.”
Metagenomics: Tools and Insights for Analyzing Next-Generation Sequencing Data Derived from Biodiversity Studies (2015, methodology): “Initially, the term was only used for functional and sequence-based analysis of the collective microbial genomes contained in an environmental sample, 1 but currently it is also widely applied to studies performing polymerase chain reaction (PCR) amplification of certain genes of interest.”
Chapter 12: Human Microbiome Analysis (2012, background): “The term metagenomics is used with some frequency to describe the entire body of high-throughput studies now possible with microbial communities, although it also refers more specifically to whole-metagenome shotgun (WMS) sequencing of genomic DNA fragments from a community’s metagenome [38,39].”
Bioinformatics for Whole-Genome Shotgun Sequencing of Microbial Communities (2005, background): “The biological insights from these studies have been well-reviewed elsewhere [3,6].”
Toward a Census of Bacteria in Soil (2006, methodology): “Our analysis can also be applied to guide the design of functional and sequence-based metagenomics projects [36].”
Metabarcoding: A powerful tool to investigate microbial communities and shape future plant protection strategies (2017, background): “of collective microbial genomes contained in an environmental sample through shotgun sequencing (Riesenfeld et al., 2004).”
The metagenomics of soil (2005, background): “To achieve substantial representation of the genomes from rare members (less than 1%) of the soil community, it has been calculated that libraries containing 10,000 Gb of soil DNA (10 11 BAC clones) might be require”