Kennesaw State University DigitalCommons@Kennesaw State University Faculty Publications 1-18-2016 Bioinformatics Resources for MicroRNA Discovery Alyssa C. Moore Jonathan S. Winkjer Tsai-Tien Tseng Kennesaw State University,
[email protected] Follow this and additional works at: https://digitalcommons.kennesaw.edu/facpubs Part of the Molecular Biology Commons Recommended Citation Moore, Alyssa C.; Winkjer, Jonathan S.; and Tseng, Tsai-Tien, "Bioinformatics Resources for MicroRNA Discovery" (2016). Faculty Publications. 3586. https://digitalcommons.kennesaw.edu/facpubs/3586 This Article is brought to you for free and open access by DigitalCommons@Kennesaw State University. It has been accepted for inclusion in Faculty Publications by an authorized administrator of DigitalCommons@Kennesaw State University. For more information, please contact
[email protected]. Bioinformatics Resources for MicroRNA Discovery Alyssa C. Moore, Jonathan S. Winkjer and Tsai-Tien Tseng Department of Molecular and Cellular Biology, Kennesaw State University, Kennesaw, GA, USA. Supplementary Issue: Gene and Protein Expression Profiling in Disease ABSTR ACT: Biomarker identification is often associated with the diagnosis and evaluation of various diseases. Recently, the role of microRNA (miRNA) has been implicated in the development of diseases, particularly cancer. With the advent of nextgeneration sequencing, the amount of data on miRNA has increased tremendously in the last decade, requiring new bioinformatics approaches for processing and storing new information. New strategies have been developed in mining these sequencing datasets to allow better understanding toward the actions of miRNAs. As a result, many databases have also been established to disseminate these findings. This review focuses on several curated databases of miRNAs and their targets from both predicted and validated sources.