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      Proksee: in-depth characterization and visualization of bacterial genomes

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          Abstract

          Proksee ( https://proksee.ca) provides users with a powerful, easy-to-use, and feature-rich system for assembling, annotating, analysing, and visualizing bacterial genomes. Proksee accepts Illumina sequence reads as compressed FASTQ files or pre-assembled contigs in raw, FASTA, or GenBank format. Alternatively, users can supply a GenBank accession or a previously generated Proksee map in JSON format. Proksee then performs assembly (for raw sequence data), generates a graphical map, and provides an interface for customizing the map and launching further analysis jobs. Notable features of Proksee include unique and informative assembly metrics provided via a custom reference database of assemblies; a deeply integrated high-performance genome browser for viewing and comparing analysis results at individual base resolution (developed specifically for Proksee); an ever-growing list of embedded analysis tools whose results can be seamlessly added to the map or searched and explored in other formats; and the option to export graphical maps, analysis results, and log files for data sharing and research reproducibility. All these features are provided via a carefully designed multi-server cloud-based system that can easily scale to meet user demand and that ensures the web server is robust and responsive.

          Graphical Abstract

          Graphical Abstract

          Proksee assembles, analyzes and visualizes prokaryotic genomes from a variety of inputs.

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          Most cited references26

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          Basic local alignment search tool.

          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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            SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

            The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
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              Prokka: rapid prokaryotic genome annotation.

              T Seemann (2014)
              The multiplex capability and high yield of current day DNA-sequencing instruments has made bacterial whole genome sequencing a routine affair. The subsequent de novo assembly of reads into contigs has been well addressed. The final step of annotating all relevant genomic features on those contigs can be achieved slowly using existing web- and email-based systems, but these are not applicable for sensitive data or integrating into computational pipelines. Here we introduce Prokka, a command line software tool to fully annotate a draft bacterial genome in about 10 min on a typical desktop computer. It produces standards-compliant output files for further analysis or viewing in genome browsers. Prokka is implemented in Perl and is freely available under an open source GPLv2 license from http://vicbioinformatics.com/. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                05 July 2023
                04 May 2023
                04 May 2023
                : 51
                : W1
                : W484-W492
                Affiliations
                Agriculture, Food & Nutritional Science, University of Alberta , Edmonton, Alberta T6G 2P5, Canada
                National Microbiology Laboratory, Public Health Agency of Canada , Winnipeg, Manitoba R3E 3R2, Canada
                National Microbiology Laboratory, Public Health Agency of Canada , Winnipeg, Manitoba R3E 3R2, Canada
                Medical Microbiology & Infectious Diseases, University of Manitoba , Winnipeg, Manitoba R3E 0J9, Canada
                Agriculture, Food & Nutritional Science, University of Alberta , Edmonton, Alberta T6G 2P5, Canada
                National Microbiology Laboratory, Public Health Agency of Canada , Winnipeg, Manitoba R3E 3R2, Canada
                Biochemistry & Medical Genetics, University of Manitoba , Winnipeg, Manitoba R3E 0J9, Canada
                National Microbiology Laboratory, Public Health Agency of Canada , Winnipeg, Manitoba R3E 3R2, Canada
                Medical Microbiology & Infectious Diseases, University of Manitoba , Winnipeg, Manitoba R3E 0J9, Canada
                National Microbiology Laboratory, Public Health Agency of Canada , Winnipeg, Manitoba R3E 3R2, Canada
                Medical Microbiology & Infectious Diseases, University of Manitoba , Winnipeg, Manitoba R3E 0J9, Canada
                Agriculture, Food & Nutritional Science, University of Alberta , Edmonton, Alberta T6G 2P5, Canada
                Author notes
                To whom correspondence should be addressed. Tel: +1 780 492 5242; Email: stothard@ 123456ualberta.ca
                Correspondence may also be addressed to Gary Van Domselaar. Tel: +1 204 230 1338; Email: gary.vandomselaar@ 123456phac-aspc.gc.ca

                The authors wish it to be known that, in their opinion, the first two authors should be regarded as Joint First Authors.

                Author information
                https://orcid.org/0000-0003-1139-4458
                https://orcid.org/0000-0003-4263-969X
                Article
                gkad326
                10.1093/nar/gkad326
                10320063
                37140037
                fe3d4157-e087-4ca2-825f-be5a2bbb61d9
                © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 18 April 2023
                : 28 March 2023
                : 25 February 2023
                Page count
                Pages: 9
                Funding
                Funded by: Genome Alberta and Genome Canada;
                Categories
                AcademicSubjects/SCI00010
                Web Server Issue

                Genetics
                Genetics

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