SMAGEXP

SMAGEXP (Statistical Meta-Analysis for Gene EXPression) is a comprehensive software suite designed to enhance the process of gene expression meta-analysis by integrating the capabilities of two essential R packages, metaMA for microarray data analysis and metaRNASeq for next-generation sequencing (NGS) data analysis. Given the vast and ever-growing repositories of microarray and high-throughput sequencing experiments available in public domains, the importance of meta-analysis in these contexts has significantly increased. Meta-analysis techniques allow researchers to combine data from multiple studies, thereby increasing statistical power and yielding more accurate and reliable results, mainly when individual studies have limited sample sizes.

Recognizing the distinct statistical modeling needs of microarray and NGS technologies, SMAGEXP provides a unified platform within the Galaxy framework for conducting meta-analyses that cater to the specificities of each data type. For microarray data, particularly from the Gene Expression Omnibus database or custom Affymetrix microarrays, SMAGEXP utilizes the metaMA package to combine and analyze data. For NGS experiments, it employs DESeq2 in conjunction with the metaRNASeq package to handle raw read counts, ensuring that the unique characteristics of sequencing data are appropriately addressed.

SMAGEXP is designed to output key values crucial for assessing the quality of the meta-analysis, independent of the technology used, ensuring that users can effectively evaluate the reliability of their meta-analysis results.

Integrating SMAGEXP into the Galaxy toolshed brings several advantages, including an accessible, user-friendly interface for conducting complex meta-analyses and handling diverse data types within a single, cohesive framework. Furthermore, a dockerized version of Galaxy that includes SMAGEXP and all necessary dependencies is available on Docker Hub, facilitating easy installation and use.