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2000
Volume 18, Issue 2
  • ISSN: 1574-8936
  • E-ISSN: 2212-392X

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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/content/journals/cbio/10.2174/1574893618666230102105652
2023-02-01
2025-06-18
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/content/journals/cbio/10.2174/1574893618666230102105652
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