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https://doi.org/10.1186/s40168-019-0665-y
Title: | Annotated bacterial chromosomes from frame-shift-corrected long-read metagenomic data | Authors: | Arumugam, K. Ba?cl, C. Bessarab, I. Beier, S. Buchfink, B. Górska, A. Qiu, G. Huson, D.H. Williams, R.B.H. |
Keywords: | Algorithms Frame-shifts Long-read sequencing Microbial genomics Microbiome Sequence assembly Software |
Issue Date: | 2019 | Publisher: | BioMed Central Ltd. | Citation: | Arumugam, K., Ba?cl, C., Bessarab, I., Beier, S., Buchfink, B., Górska, A., Qiu, G., Huson, D.H., Williams, R.B.H. (2019). Annotated bacterial chromosomes from frame-shift-corrected long-read metagenomic data. Microbiome 7 (1) : 61. ScholarBank@NUS Repository. https://doi.org/10.1186/s40168-019-0665-y | Rights: | Attribution 4.0 International | Abstract: | Background: Short-read sequencing technologies have long been the work-horse of microbiome analysis. Continuing technological advances are making the application of long-read sequencing to metagenomic samples increasingly feasible. Results: We demonstrate that whole bacterial chromosomes can be obtained from an enriched community, by application of MinION sequencing to a sample from an EBPR bioreactor, producing 6 Gb of sequence that assembles into multiple closed bacterial chromosomes. We provide a simple pipeline for processing such data, which includes a new approach to correcting erroneous frame-shifts. Conclusions: Advances in long-read sequencing technology and corresponding algorithms will allow the routine extraction of whole chromosomes from environmental samples, providing a more detailed picture of individual members of a microbiome. © 2019 The Author(s). | Source Title: | Microbiome | URI: | https://scholarbank.nus.edu.sg/handle/10635/209584 | ISSN: | 2049-2618 | DOI: | 10.1186/s40168-019-0665-y | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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