Understanding the Promises and Hurdles of Metagenomic Next-Generation Sequencing as a Diagnostic Tool for Infectious Diseases

By P. Simner, Steve Miller, K. Carroll. Clinical Infectious Diseases, 2017

674 citations recorded by the source corpus.

Metagenomic next-generation sequencing (mNGS) has emerged as a promising single, universal pathogen detection method for infectious disease diagnostics. With the development of mNGS assays, it is essential for treating practitioners to understand both the power and limitations of the method as a diagnostic tool.

Subfields: Clinical Biochemistry, Molecular Biology, Parasitology

View Paper: https://www.semanticscholar.org/paper/bd6ff668b291b07c039010c27d1465777647f60f

How researchers see this paper

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In Molecular Biology

1. Florian P. Breitwieser
2. Steven L. Salzberg
3. Daniel N. Baker
4. Jennifer Lu
5. Ben Langmead
6. Derrick E. Wood
7. Heng Li
8. Nitesh V. Chawla

Citations in the corpus

• KrakenUniq: confident and fast metagenomics classification using unique k-mer counts (2018, background): “A special case is the emerging use of metagenomics for the diagnosis of infectious diseases [27, 28].”
• IDseq—An open source cloud-based pipeline and analysis service for metagenomic pathogen detection and monitoring (2020, neutral): “This is especially important for microbes that are difficult or impossible to culture, including many viruses, fungal species, eukaryotic parasites, and bacteria [2].”