Accelerate R&D with
NGS-Driven Decisions
An enterprise software solution that streamlines
NGS-based workflows from cell line development
to biosafety.
Our Customers
Genedata Selector® enables scientists to integrate, manage, analyze, and share genomic data with phenotypic data and related intellectual property on a single platform across the enterprise.
Applications
Transform NGS data into innovative applications for cell line design, metagenomics, and biosafety
Software
A modular enterprise solution for NGS data visualization, processing, analysis, and tracking
Beyond Software
Our experts advise on standardization, automation, and implementation of NGS-based workflows
Success Stories
Find out how our customers harmonize NGS data analysis and increase their productivity
As part of our innovation strategy, we have started to implement NGS-based workflows in combination with other state-of-the-art technologies, such as targeted locus amplification (TLA) and gene editing in bioprocess development and production.
The need to streamline and automate these highly complex and data-intensive experimental processes was the main reason behind our selection of Genedata Selector. The platform helps us shorten development cycles and increase efficiency.
Genedata Selector enables us to integrate a wide variety of complex data generated by novel experimental workflows so we can gain a holistic molecular understanding of production cells with the goal of developing high performing bioproduction processes.
... using Genedata Selector we are now able to quickly detect unfavorable properties of a production cell line and engineer preferred properties by editing its genetic background.
Our customers now have available a computational platform that supports our market-leading TLA technology and enables them to significantly increase the number of clones analyzed, thereby increasing the efficiency of their quality control and cell line development workflow.
Cell line development and cell culture optimization face a new era with the introduction of knowledge-driven genomics based on new technologies such as NGS and omics-based approaches.
To optimally handle the complex data, we need a centralized genome knowledge management and analysis solution that addresses the interdisciplinary challenges in the next-generation biotechnology innovations.
Genedata Selector was our obvious choice.
The intelligent organization of large data volume is central to successful research and development of new crop protection products.
Dr. Michael Edmund Beck
Principal Scientist & Head of Computational Life Science
Bayer Crop Science
I like to compare Genedata's work with the structured organization of a library in which you can easily and quickly find the book you are looking for.
Dr. Michael Edmund Beck
Principal Scientist & Head of Computational Life Science
Bayer Crop Science
Our many years of experience in working together so far have been very positive.
Dr. Michael Edmund Beck
Principal Scientist & Head of Computational Life Science
Bayer Crop Science
With Genedata Selector we can integrate a wide range of complex R&D-relevant data and make the data easily accessible within our globally distributed R&D organization.
In-House Adventitious Agent Detection
An industry first for commercial software, non-targeted detection of adventitious agents is among the rich capabilities provided by Genedata Selector. These agents, detected in the automated analysis of NGS data, include viruses, mycoplasma, and other microbial contamination. Genedata Selector enables:
- Non-targeted detection of adventitious agents
- Fast release of gene and cell therapy products
- Product safety for registration
Innovative Cell Line Development
Using NGS-based approaches throughout bioprocess development accelerates workflows and creates significant cost savings. Genedata Selector harmonizes and automates NGS-based workflows by providing an integrated data management and analysis system for:
- In-depth host cell characterization
- Clone selection and cell line identification with targeted locus amplification (TLA)
- Planning, execution, and confirming gene and genome editing
Molecular Breeding and Crop Protection
The search for smarter breeding strategies and the discovery of new targets for crop protection require the integration, management, and analysis of visualization of massive genomic data sets. Genedata Selector drives new insights through comparative genomics and the integration of -omics data for:
- Genotype-phenotype relationship analysis
- Marker-assisted breeding
- Mode of action (MoA) analysis
Metagenome Analysis
Perform comparative studies of microbiome dynamics and functions depending on experimental design such as varying time points, treatments, or process conditions with Genedata Selector for:
- Industrial process optimization
- Production process monitoring
- Anti-infective research
