Feature:
* 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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