ArticleBioinformatics (Oxford, England)2024
Icarust, a real-time simulator for Oxford Nanopore adaptive sampling.
Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Enrichment techniques for clinical metagenomics.Frontiers in cellular and infection microbiology · 2026Review
- SimReadUntil for benchmarking selective sequencing algorithms on ONT devices.Bioinformatics (Oxford, England) · 2024Article
- Article
- TKSM: highly modular, user-customizable, and scalable transcriptomic sequencing long-read simulator.Bioinformatics (Oxford, England) · 2024Article
- TargetCall: eliminating the wasted computation in basecalling via pre-basecalling filtering.Frontiers in genetics · 2024Article
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Authors and funding
4 authors.
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Abstract
motivationOxford Nanopore Technologies (ONT) sequencers enable real-time generation of sequence data, which allows for concurrent analysis during a run. Adaptive sampling leverages this real-time capability in extremis, rejecting or accepting reads for sequencing based on assessment of the sequence from the start of each read. This functionality is provided by ONT's software, MinKNOW (Oxford Nanopore Technologies). Designing and developing software to take advantage of adaptive sampling can be costly in terms of sequencing consumables, using precious samples and preparing sequencing libraries. MinKNOW addresses this in part by allowing the replay of previously sequenced runs for testing. However, as we show, the sequencing output only partially changes in response to adaptive sampling instructions. Here we present Icarust, a tool enabling more accurate approximations of sequencing runs. Icarust recreates all the required endpoints of MinKNOW to perform adaptive sampling and writes output compatible with current base-callers and analysis pipelines. Icarust serves nanopore signal simulating a MinION or PromethION flow cell experiment from any reference genome using either R9 or R10 pore models. We show that simulating sequencing runs with Icarust provides a realistic testing and development environment for software exploiting the real-time nature of Nanopore sequencing. AVAILABILITY AND IMPLEMENTATION: All code is open source and freely available here-https://github.com/LooseLab/Icarust. Icarust is implemented in Rust, with a docker container also available. The data underlying this article will be shared on reasonable request to the corresponding author.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.