RNA Bioinformatics for Precision Medicine.
The high-throughput transcriptomic data generated by deep sequencing technologies urgently require bioinformatics methods for proper data visualization, analysis, storage, and interpretation. The involvement of noncoding RNAs in human diseases highlights their potential as biomarkers and therapeutic targets to facilitate the precision medicine. In this chapter, we give a brief overview of the bioinformatics tools to analyze different aspects of RNAs, in particular ncRNAs. We first describe the emerging bioinformatics methods for RNA identification, structure modeling, functional annotation, and network inference. This is followed by an introduction of potential usefulness of ncRNAs as diagnostic, prognostic biomarkers and therapeutic strategies.
School of Chemistry, Biology and Material Engineering, Suzhou University of Science and Technology, No1. Kerui road, Suzhou, Jiangsu, 215011, China.
Jiajia
J
Chen
Center for Systems Biology, Soochow University, No1. Shizi Street, 206, Suzhou, Jiangsu, 215006, China. bairong.shen@suda.edu.cn.
Bairong
B
Shen
D015415:Biomarkers / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D015894:Genome, Human; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D009369:Neoplasms / Q000175:diagnosis* / Q000235:genetics; D009690:Nucleic Acid Conformation; D057285:Precision Medicine; D012334:RNA, Neoplasm / Q000235:genetics*; D022661:RNA, Untranslated / Q000145:classification / Q000235:genetics*; D017423:Sequence Analysis, RNA / Q000706:statistics & numerical data*; D059467:Transcriptome
D015415:Biomarkers; D012334:RNA, Neoplasm; D022661:RNA, Untranslated
Bioinformatics; Biomarkers; Cancer; Precision medicine; RNA