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This research aims to evaluate the effectiveness of various circRNA detection tools using long-read sequencing data.

Decision Revise: Benchmarking circRNA Detection Tools from Long-Read Sequencing Using Data-Driven and Flexible Simulation Framework. Round#1

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This research aims to evaluate the effectiveness of various circRNA detection tools using long-read sequencing data.
Developed a flexible simulation framework for data-driven comparisons.
Implemented various long-read sequencing techniques.
Compared performance of multiple circRNA detection tools.
Identified key strengths and weaknesses in different circRNA detection tools.
Provided recommendations for optimal detection strategies.
Demonstrated efficacy of simulation data in benchmarking tools.

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Benchmarking identifies effective circRNA detection tools from long-read sequencing, suggesting improvements in RNA research.

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Camille Marchet (2025) studied this question.

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