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- W4225269187 abstract "Abstract Metagenomic taxonomic profiling aims to predict the identity and relative abundance of taxa in a given whole genome sequencing metagenomic sample. A recent surge in computational methods that aim to accurately estimate taxonomic profiles, called taxonomic profilers, have motivated community driven efforts to create standardized benchmarking datasets and platforms, standardized taxonomic profile formats, as well as a benchmarking platform to assess tool performance. While this standardization is essential, there is currently a lack of tools to visualize the standardized output of the many existing taxonomic profilers, and benchmarking studies rely on a single value metrics to compare performance of tools and compare to benchmarking datasets. Here we report the development of TAMPA ( Ta xonomic m etagenome p rofiling evalu a tion), a robust and easy-to-use method that allows scientists to easily interpret and interact with taxonomic profiles produced by the many different taxonomic profiler methods beyond the standard metrics used by the scientific community. We demonstrate the unique ability of TAMPA to provide important biological insights into the taxonomic differences between samples otherwise missed by commonly utilized metrics. Additionally, we show that TAMPA can help visualize the output of taxonomic profilers, enabling biologists to effectively choose the most appropriate profiling method to use on their metagenomics data. TAMPA is available on GitHub, Bioconda and Galaxy Toolshed at https://github.com/dkoslicki/TAMPA , and is released under the MIT license." @default.
- W4225269187 created "2022-05-04" @default.
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- W4225269187 date "2022-04-29" @default.
- W4225269187 modified "2023-10-15" @default.
- W4225269187 title "TAMPA: interpretable analysis and visualization of metagenomics-based taxon abundance profiles" @default.
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- W4225269187 doi "https://doi.org/10.1101/2022.04.28.489926" @default.
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