Affiliation:
1. College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China
Abstract
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.
Funder
National Natural Science Foundation of China
National Key R&D Program of China
Publisher
Bentham Science Publishers Ltd.
Subject
Computational Mathematics,Genetics,Molecular Biology,Biochemistry
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