A modularized MapReduce framework to support RNA secondary structure prediction and analysis workflows

Abstract

Ribonucleic acid (RNA) molecules play important roles in many biological processes including gene expression and regulation. Their secondary structures are crucial for the RNA functionality, and the prediction of the secondary structures is widely studied. Previous research shows that cutting long sequences into shorter chunks, predicting secondary… (More)
DOI: 10.1109/BIBMW.2012.6470251

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Cite this paper

@article{Zhang2012AMM, title={A modularized MapReduce framework to support RNA secondary structure prediction and analysis workflows}, author={Boyu Zhang and Daniel T. Yehdego and Kyle L. Johnson and Ming-Ying Leung and Michela Taufer}, journal={2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops}, year={2012}, pages={86-93} }