Simulated ancient metagenomic ground truth dataset used for aMeta publication
https://doi.org/10.17044/SCILIFELAB.21261405
This is a simulated ancient metagenomic dataset used for benchmarking the anciemt microbiome profiling workflow aMeta against Heuristic Operations for Pathogen Screening (HOPS), see link under references. The dataset was simulated using gargammel software, see link under references. Both ancient and modern reads were simulated, sequencing errors and Illumina adapters were added. The simulated datase was built by Nikolay Oskolkov, Lund University, Sweden, within the NBIS SciLifeLab long-term support project, PI Anders Götherström, Centre for Palaeogenetics, Stockholm, Sweden.
Associated publication:
Pochon et al. 2023. aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow. Genome Biology: https://doi.org/10.1186/s13059-023-03083-9
When using these databases or datasets, please cite the aMeta publication in addition to this Figshare item: Pochon et al. 2023. aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow. Genome Biology. https://doi.org/10.1186/s13059-023-03083-9
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https://doi.org/10.17044/SCILIFELAB.21261405
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Funding
Funding agency:
- Knut and Alice Wallenberg Foundation
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Stockholms universitet, Wallenberg Advanced Bioinformatics Infrastructure, WABIBeviljat anslag: 68 miljoner kronor i fortsättningsanslag
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Keywords:
- Bioinformatic methods development
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