As biologists, we have a constant need of good bioinformatics collaboration. We have a very good impression of our interactions with all the people at Genevia. Particularly we appreciated the professionalism and speed in providing offers, results and answers to specific questions.
Take a look at what we have done so far and what our customers say about us.
Our new customers come to us primarily through referrals from previous ones. This means that customer satisfaction is our first priority. Based on our experience, making a customer happy — not to mention exceeding their expectations — requires not only scientifically sound analysis and a rapid turnaround, but clear, honest and frequent communication.
We prefer to work in close relationship with our customers' teams. We want to understand the research context in order to be able to fulfill our customers' needs, and discuss the outcome of the project in order to make sure that they benefit from it.
We are proud of our customers and the findings we have achieved together. Scroll down to read more about our success stories — perhaps we will create the next one with you!
The increasing feasibility of next generation sequencing promoted our desire to approach this technology. GeneVia provided excellent service in planning, execution and analysis of our experiment. Furthermore, we felt well supported during our collaboration through mail and Skype contact. The project report was well organized with high quality graphics and will be very helpful when publishing the results.
Communication with the Genevia team went smoothly, our collaboration was close and personal, and they adopted their analysis according to our needs.
Genevia team designed us a custom software to explore our epidemiological data. We were very happy with the result.
By contracting NGS and bioinformatics, we were able to better focus our internal resources and still learn about sequencing and bioinformatics. We found that the Genevia team flexibly adapted to our requirements during the project.
Genevia helped us validate the molecular characteristics of our cell lines. I found the communication between our respective field experts fluent. They are very flexible and professional, and their business is clearly driven by customer’s requirements.
Without the help of Genevia team I would not have been able to get my data analyzed at all. I found the collaboration professional, friendly and quite informative for me.
Our clients work in a range of fields, but the one thing they share is the need for computational solutions to increase their R&D and publication output. Click on the icons to see how we have helped our customers.
Mechanism of action
Learn about how Epitherapeutics used NGS to elucidate the mechanism of action of their drug
Learn about how Ark Therapeutics ensured their lead molecule had no significant genomic off-targets
Diagnostic variant analysis pipeline
Learn about how a university hospital streamlined their analysis of NGS data
Gene test analysis
Learn about how Modern Diagnostics found a fast and flexible bioinformatics solution
Novel enzyme discovery
Learn about how Roal got multiple new product candidates using NGS
Yeast ploidy analysis
Learn about how a research organization successfully outsourced computational analyses in the development of a genomically modified yeast strain
Learn about how a research group uncovered time-wise gene expression patterns
Data analysis tutorial
Learn about how a biologist learned to analyze her RNA-seq data
Ant genome annotation
Learn about how a research group at the University of Helsinki got an assembled and annotated genome of the non-model insect that they study
Learn about how an NGS service provider brushed up on their bioinformatics know-how
Predictive analytics for cancer
Learn about how a research group at Lund University got a state-of-the-art predictive model utilizing gene expression and clinical data from over 4000 patient samples
ChIP-seq analysis service
Learn about how a research group at the University of Turku found a solution for their recurring bioinformatics needs for ChIP-seq analysis
Learn about how Mylab took their first step toward genomic data management
Cost analysis of sequencing
Learn about how Roal entered the world of high-throughput genomics
Learn about how researchers at the University of Tampere ensured that they get the most out of their DNA-seq data
Learn about how a research group with limited bioinformatics resources got flexible expert support for their analyses
Validation of cell lines
Learn about how Pharmatest ensured that their cell lines are exactly what they are supposed to be
Virus quasispecies quantification
Learn about how TATAA Biocenter could provide fast, yet customized bioinformatics support for their client
Plant gene expression study
Learn about how a plant biology group solved their data analysis bottleneck
Learn about how the genetic modification of a disease model was validated
Gene copy number analysis
Learn about how a research group from the University of Oslo got their copy number data analyzed and interpreted in just a few weeks
Epidemiological data exploration platform
Learn about how large datasets can be easily shared and explored with a web-based platform