RT-PCR provides a sensitive and low-cost technique to detect RNA molecules. It is widely used in the diagnosis of genetic diseases and has become the preferred method for validating results obtained from array analyses and other techniques that evaluate gene expression changes on a global scale. Genedata Expressionist provides data processing and analysis tools for any scale of RT-PCR analysis.

Considered the founding technology of the genomics age, microarrays are available from a wide variety of vendors for numerous applications. A proven technology for measuring RNA expression, copy number variation, and other key biological measurements, microarrays continue to be an important research tool. With support for Agilent, Affymetric, Illumina, Nimblegen and others, Genedata Expressionist provides data processing and analysis tools for any scale of experimental analysis.

With ever-decreasing cost and increases in sample throughput, next-generation sequencing enables improved understanding of biological systems and deciphering of the phenotype-genotype relationship. The scale and complexity of these data has led to significant computational challenges. Genedata Expressionist and Genedata Selector address these challenges at any scale for whole genome analysis of RNA expression, gene regulation, DNA methylation, SNP analysis, mutation analysis, and copy number variation.

Hardware vendors continue to make exceptional improvements in mass accuracy and throughput to provide experimental access to an ever-increasing range of scientific systems via mass spectrometry. While providing vastly improved experimental systems, these new platforms also deliver increased data volumes and complexity. Accessing data from all major hardware providers, Genedata Expressionist scales to meet these demands for proteomics, metabolomics, lipidomics, and oligomics.

The automated routine screening of hundreds of thousands to millions of compounds for new hits and leads on increasingly complex assay systems broadens the success and applicability of high throughput screening (HTS) technology. The increased scale, complexity, and diversity of resulting data, however, present problems for older, less flexible informatics systems. Genedata Screener provides a flexible, visual, and intuitive platform that easily processes results for millions of measurements in minutes, regardless of the complexity of the experimental system.

The application of automated imaging to basic biological research and to compound screening in a physiologically relevant context provides a powerful tool for investigating biological pathways and phenotypic compound effects in a scalable, automated fashion. Such high content screens produce data at a new level of complexity and volume, challenge image management, and require more sophisticated analysis workflows. None of these aspects were envisioned at the time many screening informatics systems were developed. Genedata Screener provides specialized analytics, viewers, and workflows for high content screening as well as instant access to the original images for unrivaled data analysis.

Time-dependent experiments such as FLIPR or Enzyme Kinetic assays are classic screening examples. New label-free and parallel patch clamp technologies have extended the field, requiring in-depth analysis. From a screening perspective, the support for time-series experiments was always limited, as the underlying curves could not be examined easily in the context of a larger assay and the calculation of intermediate well results from the curves was limited and inflexible. Full interactive access to the curves and scientific freedom in the curve aggregation, as provided with Genedata Screener, provide a new insight into time-series experiments.