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Noah Arnold Greenman

As seen in: MDPI, BioRxiv
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Articles

Improving Bacterial Metagenomic Research through Long-Read Sequencing

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By Noah Arnold Greenman, Sayf Al-Deen Hassouneh, Latifa S Abdelli, Catherine Johnston
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Improving bacterial metagenomic research through long read sequencing

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By Noah Arnold Greenman, Sayf Al-Deen Hassouneh, Catherine Johnston, Latifa S Abdelli
| BioRxiv
Abstract Metagenomic sequencing analysis is central to investigating microbial communities in clinical and environmental studies. Short read sequencing remains the primary data type for metagenomic research, however, long read sequencing promises advantages of improved metagenomic assembly and resolved taxonomic identification.
Open in Who Shared Issue with article?

Improving bacterial metagenomic research through long read sequencing

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By Noah Arnold Greenman, Sayf Al-Deen Hassouneh, Catherine Johnston, Taj Azarian
| BioRxiv
Abstract Metagenomic sequencing analysis is central to investigating microbial communities in clinical and environmental studies. Short read sequencing remains the primary data type for metagenomic research. However, long read sequencing promises the advantages of improved metagenomic assembly and resolved taxonomic identification.
Open in Who Shared Issue with article?
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