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GOFlowLLM—curating miRNA literature with large language models and flowcharts

Andrew Green et al.

Bioinformatics2026https://doi.org/10.1093/bioinformatics/btaf683article
ABDC A
Weight
0.37

Abstract

GOFlowLLM is implemented as an automated pipeline that follows expert-designed reasoning frameworks to maintain curation quality. The system is available on GitHub: https://github.com/RNAcentral/GO_Flow_LLM.

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https://doi.org/https://doi.org/10.1093/bioinformatics/btaf683

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@article{andrew2026,
  title        = {{GOFlowLLM—curating miRNA literature with large language models and flowcharts}},
  author       = {Andrew Green et al.},
  journal      = {Bioinformatics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1093/bioinformatics/btaf683},
}

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GOFlowLLM—curating miRNA literature with large language models and flowcharts

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.