Application of data science and bioinformatics in RNA therapeutics

Hue Vu Thi, Thanh-Nhat Hoang, Nguyen Quoc Khanh Le, Dinh-Toi Chu

Research output: Chapter in Book/Report/Conference proceedingChapter


Nowadays, information technology (IT) has been holding a significant role in daily life worldwide. The trajectory of data science and bioinformatics promises pioneering personalized therapies, reshaping medical landscapes and patient care. For RNA therapy to reach more patients, a comprehensive understanding of the application of data science and bioinformatics to this therapy is essential. Thus, this chapter has summarized the application of data science and bioinformatics in RNA therapeutics. Data science applications in RNA therapy, such as data integration and analytics, machine learning, and drug development, have been discussed. In addition, aspects of bioinformatics such as RNA design and evaluation, drug delivery system simulation, and databases for personalized medicine have also been covered in this chapter. These insights have shed light on existing evidence and opened potential future directions. From there, scientists can elevate RNA-based therapeutics into an era of tailored treatments and revolutionary healthcare.
Original languageEnglish
Title of host publicationRNA Therapeutics Part A
EditorsDinh-Toi Chu, Van Thai Than
PublisherAcademic Press
Number of pages15
Publication statusPublished - 2024

Publication series

NameProgress in Molecular Biology and Translational Science
PublisherAcademic Press


  • RNA-based therapeutics
  • RNA therapy
  • Data science
  • Bioinformatics
  • Information technology


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