The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Interactive metagenomic visualization in a Web browser
Open accessAbstract
BACKGROUND: A critical output of metagenomic studies is the estimation of abundances of taxonomical or functional groups. The inherent uncertainty in assignments to these groups makes it important to consider both their hierarchical contexts and their prediction confidence. The current tools for visualizing metagenomic data, however, omit or distort quantitative hierarchical relationships and lack the facility for displaying secondary variables. RESULTS: Here we present Krona, a new visualization tool that allows intuitive exploration of relative abundances and confidences within the complex hierarchies of metagenomic classifications. Krona combines a variant of radial, space-filling displays with parametric coloring and interactive polar-coordinate zooming. The HTML5 and JavaScript implementation enables fully interactive charts that can be explored with any modern Web browser, without the need for installed software or plug-ins. This Web-based architecture also allows each chart to be an independent document, making them easy to share via e-mail or post to a standard Web server. To illustrate Krona's utility, we describe its application to various metagenomic data sets and its compatibility with popular metagenomic analysis tools. CONCLUSIONS: Krona is both a powerful metagenomic visualization tool and a demonstration of the potential of HTML5 for highly accessible bioinformatic visualizations. Its rich and interactive displays facilitate more informed interpretations of metagenomic analyses, while its implementation as a browser-based application makes it extremely portable and easily adopted into existing analysis packages. Both the Krona rendering code and conversion tools are freely available under a BSD open-source license, and available from: http://krona.sourceforge.net.
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A human gut microbial gene catalogue established by metagenomic sequencing
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Community structure and metabolism through reconstruction of microbial genomes from the environment
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“International Journal of Systematic and Evolutionary Microbiology 66(2):1100–1103.”
BackgroundSelf-citationKraken: ultrafast metagenomic sequence classification using exact alignments
Wood, D. E., & Salzberg, S. L. (2014) · Genome Biology · doi:10.1186/gb-2014-15-3-r46 · Cited by 4,521
MetaWRAP—a flexible pipeline for genome-resolved metagenomic data analysis
Uritskiy, G. V., DiRuggiero, J., & Taylor, J. (2018) · Microbiome · doi:10.1186/s40168-018-0541-1 · Cited by 2,642
Shotgun metagenomics, from sampling to analysis
Quince, C., Walker, A. W., Simpson, J. T., Loman, N. J., & Segata, N. (2017) · Nature Biotechnology · doi:10.1038/nbt.3935 · Cited by 2,202
Fast and sensitive taxonomic classification for metagenomics with Kaiju
Menzel, P., Ng, K. L., & Krogh, A. (2016) · Nature Communications · doi:10.1038/ncomms11257 · Cited by 2,118
Metadata
- Authors
- Ondov, B. D., Bergman, N. H., & Phillippy, A. M.
- Venue
- BMC Bioinformatics
- Published
- 2011-09-30
- Volume
- 12
- Issue
- 1
- Pages
- 385-385
- ISSN
- 1471-2105 (ISSN-L)
- OpenAlex
- W2085926377
- Cited by
- 2,144
- References
- 3
- FWCI
- 8.93
- Type
- journal article
- Language
- en
- Open access
- gold
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