RUBICON: a framework for designing efficient deep learning-based genomic basecallers

Research article (Genome biology, 2024) · cited 23× · AI/ML

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Summary

RUBICON: a framework for designing efficient deep learning-based genomic basecallers is a scholarly article^[1].

Key Facts

RUBICON: a framework for designing efficient deep learning-based genomic basecallers's instance of is recorded as scholarly article^[2].

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Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex

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Quick Facts

Instance of scholarly article

Publication date February 16, 2024

Properties

Funded by grant Processing-in-memory architectures and programming libraries for bioinformatics algorithms

Published in Genome Biology

Sponsor European Commission

Title lang: en, text: RUBICON: a framework for designing efficient deep learning-based genomic basecallers

External References (3)

Doi 10.1186/S13059-024-03181-2

Openalex id W4391883412

Pubmed publication id 38365730

🔗 Connections

Authored by 7

Alireza Khodamoradi, Can Fırtına, Henk Corporaal, Kristof Denolf, Meryem Banu Cavlak, Mohammed Alser, Onur Mutlu

← Author of 7

Alireza Khodamoradi, Can Fırtına, Henk Corporaal, Kristof Denolf, Meryem Banu Cavlak, Mohammed Alser, Onur Mutlu

References

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Direct Wikidata claims

[2] ↑ RUBICON: a framework for designing efficient deep learning-based genomic basecallers — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ RUBICON: a framework for designing efficient deep learning-based genomic basecallers is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA

4ort.xyz Knowledge Graph. (2026). RUBICON: a framework for designing efficient deep learning-based genomic basecallers. Retrieved October 20, 2026, from https://4ort.xyz/entity/rubicon-a-framework-for-designing-efficient-deep-learning-based-genomic-basecallers

MLA

“RUBICON: a framework for designing efficient deep learning-based genomic basecallers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/rubicon-a-framework-for-designing-efficient-deep-learning-based-genomic-basecallers.

BibTeX

@misc{4ortxyz_rubicon-a-framework-for-designing-efficient-deep-learning-based-genomic-basecallers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RUBICON: a framework for designing efficient deep learning-based genomic basecallers}}, year = {2026}, url = {https://4ort.xyz/entity/rubicon-a-framework-for-designing-efficient-deep-learning-based-genomic-basecallers}, note = {Accessed: 2026-10-20}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RUBICON: a framework for designing efficient deep learning-based genomic basecallers — https://4ort.xyz/entity/rubicon-a-framework-for-designing-efficient-deep-learning-based-genomic-basecallers (retrieved 2026-10-20)

Canonical URL: https://4ort.xyz/entity/rubicon-a-framework-for-designing-efficient-deep-learning-based-genomic-basecallers · Last refreshed: October 20, 2026