Analyzing High-Throughput Data with JMP Genomics

Analysis of microarray expression, SNP and proteomics data presents unique challenges. These experiments can have up to 500,000 data points distributed among a large number of subjects, and so reliably determining significant changes requires sophisticated analysis methods. JMP software integrates simple-to-use genomics analysis protocols specific for expression, SNP analysis and proteomic data into the JMP 6 platform.

In this demonstration, we provide an overview of how JMP can input data from a number of platforms, perform sophisticated QC analysis, normalize data, then find significant results using a sophisticated mixed-model ANOVA or genomic case-control analyses. Expression data will next be examined for patterns between genes and using KEGG, affected biochemical pathways. This all-in-one software, when combined with the capabilities of JMP 6, provides a sophisticated desk-top application for scientists using microarrays for research.