Computational methods in noncoding RNA research |
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Authors: | Ariane Machado-Lima Hernando A. del Portillo Alan Mitchell Durham |
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Affiliation: | (1) Institute of Mathematics and Statistics, University of Sao Paulo, Sao Paulo, SP, Brazil;(2) Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, SP, Brazil;(3) Present address: Barcelona Centre for International Health Research CRESIB, Barcelona, Spain |
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Abstract: | Non protein-coding RNAs (ncRNAs) are a research hotspot in bioinformatics. Recent discoveries have revealed new ncRNA families performing a variety of roles, from gene expression regulation to catalytic activities. It is also believed that other families are still to be unveiled. Computational methods developed for protein coding genes often fail when searching for ncRNAs. Noncoding RNAs functionality is often heavily dependent on their secondary structure, which makes gene discovery very different from protein coding RNA genes. This motivated the development of specific methods for ncRNA research. This article reviews the main approaches used to identify ncRNAs and predict secondary structure. During the execution of this work, AML was supported by CAPES fellowship. |
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Keywords: | Review Noncoding RNAs Secondary structure prediction Structure comparison Gene finding |
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