Rapidly identify meaningful results with OGT’s Genefficiency™ NGS Report

Oxford Gene Technology (OGT), provider of innovative genetics research and biomarker solutions to advance molecular medicine, is offering the research community a snapshot of its user-friendly Genefficiency™ NGS Variant Analysis Report software, with the release of a free-to-download demo version. The interactive report efficiently manages the complete data analysis process for NGS workflows and delivers fully annotated data, allowing the identification of meaningful results in just a few simple mouse clicks.

The demo allows researchers to explore the easy-to-use features of the software with publicly-available sequence data from Tariq et al (2011)¹, which identified a novel candidate gene (SHROOM3) for heterotaxy, a severe form of congenital heart disease. It provides researchers with a unique opportunity to experience the interactive report format, discovering what’s possible with OGT’s Genefficiency NGS Services. The report offers rapid filtering options, built-in quality control metrics and the ability to retrospectively analyse the data with additional or new selection criteria.

On completion of all OGT Genefficiency NGS exome and targeted panel projects, customers receive their results pre-loaded into the Genefficiency NGS Variant Analysis Report, so that they can quickly and easily identify relevant data. OGT’s services cover the complete NGS pipeline, from project conception through to the delivery of high-quality, meaningful results via the software, bypassing the bottleneck of complex data analysis.

The Genefficiency NGS Variant Analysis Report is an intuitive solution to NGS data analysis and reporting. Thousands of variations can be filtered within minutes to just a handful requiring further validation — with no requirement for additional bioinformatics resources. Bespoke analysis is easily integrated into the reporting software, allowing variants to be filtered based on biological function or other tailored criteria, for the easy identification of the most significant regions of genetic variation relevant to each individual study. Furthermore, the readily accessible in-depth quality metrics provide maximum confidence that the results are of the highest quality.

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