Biologics R&D encompasses activities including antibody/protein screening, engineering, expression, purification, and characterization. Genedata Biologics provides a comprehensive data management and analysis system supporting biologics operations from screening to downstream protein production. Modules provide sequence management, assay and analytics data management, and biomaterial registration in the form of an Oracle^® database and integrated analysis and visualization tools.  

Strain optimization strategies for industrial microorganisms used in fermentation and other biotech processes for the production of enzymes, feed and food supplements, fine chemicals, and biofuels are increasingly important in these highly competitive industries. Genedata Selector provides an integrated set of tools to support rational strain development programs, including identification and prioritization of novel metabolic engineering targets, cloning and genetic engineering, and processing, storing and analyzing next-generation sequencing data from strain re-sequencing projects.

Used to measure the state of a particular disease or treatment, biomarkers provide an invaluable window into either the progress of a disease, treatment or both.  The use of Genedata solutions to discover biomarkers thus facilitates the improved understanding of both diseases and treatments.

Toxicogenomics establishes correlation between responses to toxicants and the changes in the molecular profiles of the cells exposed to toxicants. It uses transcriptomics, metabolomics, proteomics, lipidomics, and genetics to predict toxicity early in drug development. Genedata Expressionist provides a robust platform for research into the impact of toxins on cells and organisms, thereby dramatically reducing drug development costs.

Molecular diagnostics is a fast-growing discipline that captures genomic, proteomic, lipid, and metabolite expression patterns for early diagnosis of disease, risk prediction, monitoring drug efficacy during clinical trials, and even predicting patient response to new treatments. Genedata Expressionist provides the tools for research and clinical development to study all of the various data within a single analysis environment.

Crop Science is a diverse discipline that examines the genetic improvement, production and utilization of agronomic and turfgrass crops: from genetically altering crop plants to withstand drought, to management of biofuel crops. Genedata gives crop scientists software tools that meet their needs for a powerful omics data management system.

Genedata Screener is the leading software solution for the highly standardized HTS process including hit identification and confirmation: Automated result calculations, systematic quality control functions, and comprehensive analysis workflows allow for shorter experiment cycles and better usage of data and information, accelerating the lead discovery process.

Genedata Screener supports data integration, results compilation, documentation and compound assessment in the hit-to-lead phase. Processing and compiling data from validation, specificity, selectivity, toxicology screens and combining them with physicochemical data on test compounds, Genedata Screener helps users to quickly identify compounds worth progression and annotate them accordingly. 

Beyond HTS and hit validation, plate-based screening is applied in target validation, lead identification and optimization, and pre-clinical phases to efficiently and systematically supply broad biological data for targets and compounds under detailed investigation. Such experiments often follow specialized protocols, which frequently have precluded a centralized capture and systematic result analysis. Customers select Genedata Screener for its efficient analysis of plate-based data in these settings, increasing the corporate value of specialized screening experiments by centralized data management, data standardization, and full documentation of procedures and results.

With high performance and scalability, Genedata Screener is the platform of choice for productive data analysis in High Content Screening. Its integration with HCS instruments, data and image storage systems, and feature extraction packages allows a centralized access to corporate HCS data and instant access to the underlying HCS images. Screener’s built-in business logic makes for an easy processing of the multi-featured data sets from HCS, regardless of the number of data points and cellular features included with the analysis.

With technological advances, the identification of new potential drug targets plays a crucial role in the field of drug discovery. Genedata Phylosopher enables researchers to understand the underlying physiology of drug targets and manage and evaluate target relevant data.

In Systems Biology, mathematical models of complex cellular, organ, and systemic processes are continuously developed to guide experimentation to elucidate research of complex diseases where experimental methods alone are insufficient. Genedata has developed data software for managing and interpreting results derived from mathematical models. Tight integration link models to the Genedata Phylosopher system, which contains both experimental and computed data on metabolic pathways, transcriptional regulatory networks, signaling cascades, and expression levels.