DAG Expression: high-throughput gene expression analysis of real-time PCR data using standard curves for relative quantification

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.

This paper has been recently published in: Ballester M, Cordón R, Folch JM. DAG Expression: High-Throughput Gene Expression Analysis of Real-Time PCR Data Using Standard Curves for Relative Quantification. PLoS One. 2013 Nov 18;8(11):e80385.

Download the full paper:  http://www.ncbi.nlm.nih.gov/pubmed/24260380

More about the DAG Expression software: www.dagexpression.com

To contact the authors of this paper:

Rubén Cordón Morales
IT manager of CReSA
Email: ruben.cordon@cresa.uab.cat
Phone no: +34 93 581 45 57
Fax: +34 93 581 44 90
Edifici CReSA. Campus UAB       
08193 Bellaterra (Cerdanyola del Vallès, Barcelona) Spain

Dr Maria Ballester Devis
Investigator of the CRAG
Email: maria.ballester@cragenomica.es
Phone no.: +34 93 563 6600 ext 3349
Edifici CRAG. Campus UAB
08193 Bellaterra (Cerdanyola del Vallès, Barcelona) Spain

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