Using Partek GS for Gene Expression Data Analysis

Quickly and Reliably Identify Patterns in Your Genomic Data

Biological signals in genomic data are often hidden in a sea of noise. Biological factors such as dose, time, and phenotype combine with technical factors such as sample processing batches, and often obscure the important signals the biology is sending. The ability to draw reliable conclusions from today’s genomic studies requires that major factors influencing the data be identified and undesired effects removed revealing the true biological signals.

With Partek GS, biologists, bioinformaticists, and statisticians finally have a single, integrated solution to the genomics data analysis bottleneck that produces trustworthy results. Designed for high-dimensional genomic studies containing thousands of samples, Partek GS is fast, memory efficient and will analyze large data sets on a personal computer.

Partek GS supports a complete workflow including convenient data access tools, identification and annotation of important biomarkers, and construction and validation of predictive diagnostic classification systems. Now one tool can take you from start to finish for genomic data analysis. With Partek GS, you can easily import and analyze gene expression or other genomic data, reliably identify and annotate the genes or biomarkers of interest, and share findings with other researchers in your organization with information rich graphical displays.

Try Partek Genomics Suite Free

We offer a free trial. Try it for your gene expression data today!