Automated environmental metagenomics using Oxford nanopore sequencing
Despite minor differences in sequencing and classification metrics, automated and manual library preparation resulted in comparable characterization of environmental community metagenomes. These findings demonstrate the suitability of automation for high-throughput long-read metagenomics, with broad applicability to automated long-read sequencing for improved efficiency and reproducibility.
Authors
- Katherine Roper (ORCID: https://orcid.org/0000-0001-9528-6715)
- Richard Tennant (ORCID: https://orcid.org/0000-0003-3033-1858)
- Harry T. Child (ORCID: https://orcid.org/0000-0002-9127-2647)
- Qiellor Haxhiraj
- Gabrielle R. Joslin (ORCID: https://orcid.org/0000-0001-9023-4369)
- Lucy Wierzbicki
Institutions
- University of Exeter (GB)
- Agilent Technologies (United Kingdom) (GB)
Publication Details
- Journal
- BMC Genomics
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1186/s12864-025-11989-w
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00