Please use this identifier to cite or link to this item: 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
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