Genedata Expressionist Modules

From Raw Expression Data to Informative Biomarkers

Genedata Expressionist® consists of a set of integrated software modules that support the complete biomarker discovery process from study design to data processing, statistical data analysis and result reporting. Each module includes a database as well as a data analysis component and is based on a scalable software architecture capable of handling extremely large data sets and studies, removing computational bottlenecks.

Expressionist modules provide sophisticated statistical tools and data visualization to technology experts, biologists and bio-statisticians alike, fostering collaboration within interdisciplinary research teams. High-level decision support tools, global reporting, and publication functions enable the rapid creation and dissemination of information and knowledge across an organization.

Refiner Array
Captures raw data from a wide range of diverse microarray platforms and processes them according to configurable business rules; Flexible workflow design performs standardized quality control and normalization of thousands of microarrays in minutes; Generates normalized microarray data and process documentation.

Refiner MS
Captures raw data from a wide range of MS instrumentations and processes them according to configurable business rules; Extremely scalable algorithms support a wide range of experimental setups, including LC-MS/MSn, GC-MS, SELDI, SILAC, MRM and Infusion MS.

Genedata Analyst
Puts rigorous statistical algorithms and the most powerful visualization tools into the hands of biological experts and biostatisticians alike; Provides integrated and flexible data mining capabilities; Enables researchers to combine data from different experimental platforms; Extremely powerful with data sets consisting of billions of data points; Allows collaboration through session-sharing and graphical analyses workflows; Gives interdisciplinary teams a platform on which to communicate, discuss and interpret the results of biological experiments.