rSeqTU—A Machine-Learning Based R Package for Prediction of Bacterial Transcription Units

Overview of attention for article published in Frontiers in Genetics, May 2019

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So far, Dimensions has found 8 publications that cite this research output.

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OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data

Article in PLOS Computational Biology (January 2022)

OperonSEQer: A set of machine-learning algorithms with threshold voting for detection of operon pairs using short-read RNA-sequencing data

Preprint in bioRxiv (July 2021)

A novel computational framework for genome-scale alternative transcription units prediction

Article in Briefings in Bioinformatics (May 2021)

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