Browsing by Subject "next generation sequencing"

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    Characterizing the roles of long non-coding RNA in rat alcohol preference
    (IEEE, 2016-12) Zhou, Ao; Wang, Yadong; Liu, Yunlong; Feng, Weixing; Edenberg, Howard J.; Medical and Molecular Genetics, School of Medicine
    Alcohol is one of the major threats to health in United States. With the emerging of next-generation sequencing technology, the association between alcohol preference and the variants and expression of genes has been investigated. However, the roles of long non-coding RNAs (lncRNA) in alcohol preference remains unclear. In this study, we identified 37 novel lncRNAs that differentially expressed across alcohol preferring (P) and non-preferring (NP) rats. The functional study on these lncRNAs demonstrates that they are associated with gene regulation, as well as neural functions. This suggests that these lncRNAs may contribute to the alcohol preference behaviors.
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    The bioinformatics toolbox for circRNA discovery and analysis
    (Oxford University Press, 2021) Chen, Liang; Wang, Changliang; Sun, Huiyan; Wang, Juexin; Lian, Yanchun; Wang, Yan; Wong, Garry; Biomedical Engineering and Informatics, Luddy School of Informatics, Computing, and Engineering
    Circular RNAs (circRNAs) are a unique class of RNA molecule identified more than 40 years ago which are produced by a covalent linkage via back-splicing of linear RNA. Recent advances in sequencing technologies and bioinformatics tools have led directly to an ever-expanding field of types and biological functions of circRNAs. In parallel with technological developments, practical applications of circRNAs have arisen including their utilization as biomarkers of human disease. Currently, circRNA-associated bioinformatics tools can support projects including circRNA annotation, circRNA identification and network analysis of competing endogenous RNA (ceRNA). In this review, we collected about 100 circRNA-associated bioinformatics tools and summarized their current attributes and capabilities. We also performed network analysis and text mining on circRNA tool publications in order to reveal trends in their ongoing development.