GeneSpring GX Software 

New application for genomic copy number analysis- Identify genomic copy number variant regions, LOH, allele-specific copy number variations, and common variations across a set of samples

New application for genome-wide association analysis- Identify SNPs or haplotypes with significant association to an observable trait

 Analyze transcriptomics data to detect alternative splicing events, identify differentially expressed genes and microRNAs

Uncover interesting patterns in your data using Principal Component Analysis, clustering methods, and powerful class prediction algorithms

Extend GeneSpring GX functionality using JYTHON Application Programming Interface (API) and fully integrated R programming language

Display and overlay annotations and data from different experiment types such as gene expression, genomic copy number, and genotyping in a new dynamic Genome Browser 

Place statistically significant results into a biological context using GO analysis, Gene Set Enrichment Analysis (GSEA), Gene Set Analysis (GSA), and pathway analysis

Build biological networks to model interactions of identified genes of interest using provided species-specific pathway interaction databases

Manage, store, and analyze multi-omics data in a scalable Workgroup solution

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