Research Article
Tar-Find Gene Extractor: A VIRmiRNA Tar-Find Companion Application for Extracting Gene Information
Daniela Chala Garcia1, Perpetua Muganda2, Clay Gloster3 and Christopher Doss4*
1Department of Biology, North Carolina Agricultural and Technical State University, USA
2Department of Biology, North Carolina Agricultural and Technical State University, USA
3Department of Computer Systems Technology, North Carolina Agricultural and Technical State University, USA
4Department of Electrical and Computer Engineering, North Carolina Agricultural and Technical State University, USA
Christopher Doss, Department of Electrical and Computer Engineering, 345 McNair Building North Carolina Agricultural and Technical State University Greensboro, USA.
Received Date: September 25, 2019; Published Date: September 27, 2019
Abstract
The VIRmiRNA Tar-Find web resource is available for the prediction of known and novel miRNA targets. Predicted miRNA targets are provided as hundreds to thousands of Ensembl transcript IDs, complicating and slowing the determination of the official gene symbol and function. We developed the Tar- Find Gene Extractor tool for the efficient, real-time conversion of VIRmiRNA Tar-Find miRNA target prediction results from Ensembl transcript IDs to official gene symbol and gene functions. The Tar-Find Gene Extractor operates through Microsoft ExcelTM, thus making this an easy to use tool for fast and efficient retrieval of Tar-Find predicted miRNA target genes’ information
Availability and implementation
The Tar-Find Gene Extractor Tool is available at Git Hub at https://github.com/ccdoss/tge.
Keywords: DAVID gene ID conversion tool; MiRNA target prediction; Ensembl database; Gene id retrieval; VIRmiRNA, Gene ID conversion
Abbreviations: TGE- Tar-Find Gene Extractor; Database for Annotation, Visualization and Integrated Discovery-DAVID
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Christopher Doss, Daniela Chala Garcia, Perpetua Muganda, Clay Gloster. Tar-Find Gene Extractor: A VIRmiRNA Tar-Find Companion Application for Extracting Gene Information Glob J Eng Sci. 3(3): 2019. GJES.MS.ID.000564.
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