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CReSA: free software for the analysis of high-throughput gene-expression data

The IT manager of CReSA in collaboration with researchers of the UAB-CRAG have recently developed a freely available software for the management and analysis of high-throughput gene-expression data.

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The IT manager of CReSA in collaboration with researchers of the UAB-CRAG have recently developed a freely available software for the management and analysis of high-throughput gene-expression data.

Real-time quantitative PCR (qPCR) analysis is still the gold-standard technique for gene-expression quantification due to the excellent sensitivity and specificity of PCR. It generates high-quality data without the requirement of additional validation.

Recent technological advances of this method allow for the high-throughput gene-expression analysis, without the limitations of sample space and reagent used. However, non-commercial and user-friendly software for the management and analysis of these data is not available.

Data Analysis Gene (DAG) Expression software has been developed to perform high-throughput gene-expression data analysis using standard curves for relative quantification and one or multiple reference genes for sample normalization.

DAG Expression has been developed in Visual Basic.Net and will run under the major Microsoft operating systems (Microsoft® Windows® 7 or XP). A detailed manual and a demo-experiment consisting of a microfluidic dynamic array™ IFC (48.48) containing 48 assays (44 target and 4 reference genes) and 48 samples are available in the application, which allow users to be familiar with the DAG Expression software.

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January 10, 2014 - CReSA

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