title: Bioinformatics Resources for MicroRNA Discovery.
abstract: 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 next-generation 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.
authors.affiliation: Department of Molecular and Cellular Biology, Kennesaw State University, Kennesaw, GA, USA.
authors.forename: Alyssa C
authors.initials: AC
authors.lastname: Moore
authors.affiliation: Department of Molecular and Cellular Biology, Kennesaw State University, Kennesaw, GA, USA.
authors.forename: Jonathan S
authors.initials: JS
authors.lastname: Winkjer
authors.affiliation: Department of Molecular and Cellular Biology, Kennesaw State University, Kennesaw, GA, USA.
authors.forename: Tsai-Tien
authors.initials: TT
authors.lastname: Tseng
keywords: bioinformatics; database; microRNA
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