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RNA Secondary Structure Prediction: Soft Computing Perspective

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Granular Neural Networks, Pattern Recognition and Bioinformatics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 712))

Abstract

The availability of huge amount of biological data has opened a new direction in genomic analysis and structural prediction of deoxyribonucleic acid (DNA), ribonucleic acid (RNA) and proteins in recent years.

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  1. Center for Soft Computing Research, Indian Statistical Institute, Kolkata, India

    Sankar K. Pal, Shubhra S. Ray & Avatharam Ganivada

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Pal, S.K., Ray, S.S., Ganivada, A. (2017). RNA Secondary Structure Prediction: Soft Computing Perspective. In: Granular Neural Networks, Pattern Recognition and Bioinformatics. Studies in Computational Intelligence, vol 712. Springer, Cham. https://doi.org/10.1007/978-3-319-57115-7_7

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