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      NanoDJ: a Dockerized Jupyter notebook for interactive Oxford Nanopore MinION sequence manipulation and genome assembly

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          Abstract

          Background

          The Oxford Nanopore Technologies (ONT) MinION portable sequencer makes it possible to use cutting-edge genomic technologies in the field and the academic classroom.

          Results

          We present NanoDJ, a Jupyter notebook integration of tools for simplified manipulation and assembly of DNA sequences produced by ONT devices. It integrates basecalling, read trimming and quality control, simulation and plotting routines with a variety of widely used aligners and assemblers, including procedures for hybrid assembly.

          Conclusions

          With the use of Jupyter-facilitated access to self-explanatory contents of applications and the interactive visualization of results, as well as by its distribution into a Docker software container, NanoDJ is aimed to simplify and make more reproducible ONT DNA sequence analysis. The NanoDJ package code, documentation and installation instructions are freely available at https://github.com/genomicsITER/NanoDJ.

          Electronic supplementary material

          The online version of this article (10.1186/s12859-019-2860-z) contains supplementary material, which is available to authorized users.

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          Most cited references8

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          Completing bacterial genome assemblies with multiplex MinION sequencing

          Illumina sequencing platforms have enabled widespread bacterial whole genome sequencing. While Illumina data is appropriate for many analyses, its short read length limits its ability to resolve genomic structure. This has major implications for tracking the spread of mobile genetic elements, including those which carry antimicrobial resistance determinants. Fully resolving a bacterial genome requires long-read sequencing such as those generated by Oxford Nanopore Technologies (ONT) platforms. Here we describe our use of the ONT MinION to sequence 12 isolates of Klebsiella pneumoniae on a single flow cell. We assembled each genome using a combination of ONT reads and previously available Illumina reads, and little to no manual intervention was needed to achieve fully resolved assemblies using the Unicycler hybrid assembler. Assembling only ONT reads with Canu was less effective, resulting in fewer resolved genomes and higher error rates even following error correction with Nanopolish. We demonstrate that multiplexed ONT sequencing is a valuable tool for high-throughput bacterial genome finishing. Specifically, we advocate the use of Illumina sequencing as a first analysis step, followed by ONT reads as needed to resolve genomic structure.
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            An introduction to Docker for reproducible research

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              Real-Time DNA Sequencing in the Antarctic Dry Valleys Using the Oxford Nanopore Sequencer.

              The ability to sequence DNA outside of the laboratory setting has enabled novel research questions to be addressed in the field in diverse areas, ranging from environmental microbiology to viral epidemics. Here, we demonstrate the application of offline DNA sequencing of environmental samples using a hand-held nanopore sequencer in a remote field location: the McMurdo Dry Valleys, Antarctica. Sequencing was performed using a MK1B MinION sequencer from Oxford Nanopore Technologies (ONT; Oxford, United Kingdom) that was equipped with software to operate without internet connectivity. One-direction (1D) genomic libraries were prepared using portable field techniques on DNA isolated from desiccated microbial mats. By adequately insulating the sequencer and laptop, it was possible to run the sequencing protocol for up to 2½ h under arduous conditions.
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                Author and article information

                Contributors
                mcolesan@ull.edu.es
                cflores@ull.edu.es
                Journal
                BMC Bioinformatics
                BMC Bioinformatics
                BMC Bioinformatics
                BioMed Central (London )
                1471-2105
                9 May 2019
                9 May 2019
                2019
                : 20
                : 234
                Affiliations
                [1 ]ISNI 0000000121060879, GRID grid.10041.34, Research Unit, Hospital Universitario Nuestra Señora de Candelaria, , Universidad de La Laguna, ; Santa Cruz de Tenerife, Spain
                [2 ]GRID grid.425233.1, Genomics Division, , Instituto Tecnológico y de Energías Renovables (ITER), ; Santa Cruz de Tenerife, Spain
                [3 ]ISNI 0000000121060879, GRID grid.10041.34, Departamento de Ingeniería Informática y de Sistemas, , Universidad de La Laguna, ; Santa Cruz de Tenerife, Spain
                [4 ]ISNI 0000000121060879, GRID grid.10041.34, Departamento de Matemáticas, Estadística e Investigación Operativa, , Universidad de La Laguna, ; Santa Cruz de Tenerife, Spain
                [5 ]ISNI 0000 0000 9314 1427, GRID grid.413448.e, CIBER de Enfermedades Respiratorias, , Instituto de Salud Carlos III, ; Madrid, Spain
                Author information
                http://orcid.org/0000-0001-5352-069X
                Article
                2860
                10.1186/s12859-019-2860-z
                6509807
                31072312
                1736edb3-54af-41f1-89d3-2deca5076385
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 22 June 2018
                : 29 April 2019
                Funding
                Funded by: Spanish Ministry of Economy and Competitiveness
                Award ID: MTM2016-74877-P
                Award Recipient :
                Funded by: Instituto de Salud Carlos III rom the Spanish Ministry of Economy and Competitiveness, co-financed by the European Regional Development Funds ‘A way of making Europe’ from the European Union
                Award ID: PI14/00844
                Award ID: PI17/00610
                Award Recipient :
                Funded by: Agreement with Instituto Tecnológico y de Energías Renovables (ITER) to strengthen scientific and technological education, training, research, development and innovation in Genomics, Personalized Medicine and Biotechnology
                Award ID: OA17/008
                Award Recipient :
                Funded by: Spanish Ministry of Science, Innovation and Universities
                Award ID: RTC-2017-6471-1
                Award Recipient :
                Funded by: Area Tenerife 2030, Cabildo de Tenerife
                Award ID: CGIEU0000219140
                Award Recipient :
                Categories
                Software
                Custom metadata
                © The Author(s) 2019

                Bioinformatics & Computational biology
                genome analysis,nanopore sequencing,jupyter,docker
                Bioinformatics & Computational biology
                genome analysis, nanopore sequencing, jupyter, docker

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