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In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
Published on: October 21, 2022
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Computational approaches for circRNAs prediction and in silico characterization
Camilo Rebolledo1,2,3, Juan Pablo Silva3,4, Nicolás Saavedra1
1Center of Molecular Biology & Pharmacogenetics, Department of Basic Sciences, Scientific and Technological Resources, Universidad de La Frontera, Temuco, Chile.
Briefings in Bioinformatics
|May 4, 2023
Summary
This review covers computational tools and databases for identifying circular RNAs (circRNAs). It details algorithms and resources for characterizing these regulatory molecules in transcriptomics projects.
Area of Science:
- Molecular Biology
- Bioinformatics
- Genomics
Background:
- Circular RNAs (circRNAs) are non-coding RNA molecules formed during RNA splicing.
- circRNAs possess regulatory functions impacting microRNAs, messenger RNAs, and RNA-binding proteins.
Conclusions:
- Computational tools and public databases are essential for circRNA research.
- Understanding these resources aids in effective circRNA characterization and functional analysis.
- This review provides a guide for navigating the landscape of circRNA bioinformatics tools.
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