Izzy: a high-throughput metagenomic read simulator
Fuente:
arXiv
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| Main Author: | |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866914163524108288 |
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| author | Lavon, Amit |
| author_facet | Lavon, Amit |
| contents | Simulated microbial communities are used in benchmarking microbial abundance estimators and other bioinformatic utilities. To match current data scales, large simulated samples are needed, and many. The speed of current implementations might create bottlenecks for scientists testing new innovations. Here, a new implementation is introduced, based on existing error models. The new implementation, Izzy, provides up to a 60x speedup while maintaining a simple and easy-to-use interface. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_14909 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Izzy: a high-throughput metagenomic read simulator Lavon, Amit Quantitative Methods Simulated microbial communities are used in benchmarking microbial abundance estimators and other bioinformatic utilities. To match current data scales, large simulated samples are needed, and many. The speed of current implementations might create bottlenecks for scientists testing new innovations. Here, a new implementation is introduced, based on existing error models. The new implementation, Izzy, provides up to a 60x speedup while maintaining a simple and easy-to-use interface. |
| title | Izzy: a high-throughput metagenomic read simulator |
| topic | Quantitative Methods |
| url | https://arxiv.org/abs/2511.14909 |