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Current Bioinformatics

Author(s): Ying-Ying Zhang and Pu-Feng Du*

DOI: 10.2174/1574893618666230102105652

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Essential Non-coding Genes: A New Playground of Bioinformatics

Page: [105 - 108] Pages: 4

  • * (Excluding Mailing and Handling)

Abstract

The essentiality of a gene can be defined at different levels and is context-dependent. Essential protein-coding genes have been well studied. However, the essentiality of non-coding genes is not well characterized. Although experimental technologies, like CRISPR-Cas9, can provide insights into the essentiality of non-coding regions of the genome, scoring the essentiality of noncoding genes in different contexts is still challenging. With machine learning algorithms, the essentiality of protein-coding genes can be estimated well. But the development of these algorithms for non-coding genes was very early. Based on several recent studies, we believe the essentiality of noncoding genes will be a new and fertile ground in bioinformatics. We pointed out some possible research topics in this perspective article.

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