I was looking for a partner to validate and improve an algorithm that aims to identify the optimal combination of cancer therapy for each patient by assessing clinical data. The collaboration with Genevia’s team has gone without any challenges. Their response time is short, they are easy to communicate with and provide high-quality machine learning expertise.
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!
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.
Our own bioinformaticians had their hands full and considering the competitive nature of the field of genetics, I wanted to speed up the analysis process. Genevia delivered what they promised, and more – I was overwhelmed by the quality and usability of the project report. It is easy to call up Genevia when a sudden need for extra hands arises, or in-house knowledge needs replenishment. I can genuinely recommend them to everyone.
Genevia’s bioinformaticians do not assume every biologist knows how to program. Instead, they were very generous in explaining their workflow and in educating us. With Genevia Technologies, I do not need to compromise my standards of communication, quality, or speed. I tried hard to think of any improvements for Genevia’s services, but I came out with none. That probably says it all.
My own experience with Genevia Technologies is excellent. The Genevia team understood me, a customer, so well that it felt like they were reading my mind. I would choose Genevia again for challenging tasks, and I hope to collaborate with their outstanding team again in the future.
We found ourselves in a real need to identify a bioinformatics partner, as experienced bioinformaticians are like gold dust. Since we started collaborating with Genevia, bioinformatics has no longer been a bottleneck, but the exact opposite. The Genevia team truly understands our research goals to the point where they are able to suggest the best analysis options tailored to our needs. The collaboration is working perfectly, we are genuinely satisfied with Genevia.
We needed help figuring out our drug’s mode of action. We were sitting on tons of data, not knowing in which direction we should start the analysis. The journey with Genevia was brilliant; their analyses confirmed our hypotheses and enabled us to recognize how to plan our future biomarker assays. We were able to learn a lot about the biology that we were working with. I have recommended Genevia to other research fellows, and we will absolutely continue our collaboration with Genevia!
In our experience, outsourcing was efficient, and the results were provided fast. The deadlines were met beautifully, the quality of the work was spotless, and we had zero hiccups with our communication. So what is there not to recommend? We would choose Genevia Technologies again in a heartbeat.
Our FastEV project seeks to develop and commercialize an innovative biomarker discovery platform based on extracellular vesicles. Genevia provided us with combinatorial analysis of multi-omics data, and we have already learned so much from the data in less than two months.
We first heard about Genevia Technologies from an expert who recommended their services. Despite the global pandemic, the collaboration proceeded flawlessly throughout the project. I can warmly recommend Genevia Technologies' services due to their professionalism.
We needed an expert in computational biology to define thresholds for cell type markers in tissue samples. I chose Genevia as our partner based on the recommendations from my colleagues, and Genevia provided the help we needed. The team is professional, provides high-quality services, and speaks biology. In my opinion, this is the easiest way to achieve competent bioinformatics support.
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.
The collaboration with Genevia proceeded well; they stayed on schedule and provided a well-structured project report. They sure have a wide range of expertise in their compact team. Genevia's team is always ready to react to the client's needs and help with the project design.
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.
13 January 2023 @ 14:50
Case: Studying transcription factors in neuronal development with CUT&RUN
Learn how we helped a research group studying transcription factors in early cortical development
13 September 2022 @ 14:10
Case: Discovering epigenetic biomarkers of chronic back pain
Learn about Genevia Technologies' work with a research group studying the epigenetics of pain
8 February 2022 @ 13:54
Case: Uncovering the molecular effects of a livestock feed additive
Learn how Genevia Technologies helped Alimetrics uncover gene expression differences in an animal feed additive study.
11 January 2022 @ 09:53
Case: Unraveling the pathogenesis of bovine mastitis with bacterial WGS analysis
Learn how Genevia Technologies helped increase the understanding of the pathogenesis of bovine mastitis.
14 October 2021 @ 09:26
Case: Identifying pharmacogenomic vulnerabilities in malaria treatment
Learn how Genevia Technologies helped to accelerate Karolinska Institute's malaria research.
7 June 2021 @ 14:46
Case: Transcriptome-based target identification for cancer treatment
Learn how Genevia Technologies helped Barron Biomedical to identify a target for cancer therapy.
7 May 2021 @ 09:38
Case: Cancer pathology revealed with the aid of statistics
Learn why a pathologist chose Genevia Technologies as their partner.
17 March 2021 @ 16:26
Case: Speeding up the commercialization of an extracellular vesicle platform with bioinformatics
Learn how Genevia Technologies helped with FastEV's commercialization.
2 March 2021 @ 19:50
Case: Uncovering a drug’s mode of action with Genevia Technologies
Learn how Genevia Technologies helped MiNa TX with mechanism of action analysis.
19 January 2021 @ 10:09
Case: The Centre for Eye Research at Oslo University Hospital
Learn how Genevia Technologies helped uncover prognostic signals from DNA methylation array data
8 December 2020 @ 10:03
Case: Bioinformatics as a Service: a fast track to new discoveries
Learn how Genevia Technologies helped LUKE to study how different reindeer populations have adapted to the arctic and subarctic environments genetically
24 November 2020 @ 17:24
Case: Reindeer population genomics
Learn how Genevia participated in one of the largest reindeer genomics study and how it contributed to preserving wild reindeer population
25 August 2020 @ 15:36
Case: Identifying biomarkers for cell therapy development
Learn about how KCT identified new biomarkers for a macrophage subtype of their interest.
11 June 2020 @ 14:02
Case: Mechanism of action
Learn about how Epitherapeutics used NGS to elucidate the mechanism of action of their drug
14 May 2020 @ 08:22
Case: Off-target analysis
Learn about how Ark Therapeutics ensured their lead molecule had no significant genomic off-targets
14 April 2020 @ 08:33
Case: Diagnostic variant analysis pipeline
Learn about how the University Hospital of Turku streamlined their analysis of NGS data
16 March 2020 @ 08:42
Case: Gene test analysis
Learn about how Modern Diagnostics found a fast and flexible bioinformatics solution
3 March 2020 @ 08:50
Case: Novel enzyme discovery
Learn about how Roal got multiple new product candidates using NGS
11 February 2020 @ 08:57
Case: Yeast ploidy analysis
Learn abour how a research organization successfully outsourced computational analyses in the development of a genomically modified yeast strain
15 January 2020 @ 10:34
Case: Osteoblast differentiation
Learn how a research group uncovered time-wise gene expression patterns
17 December 2019 @ 10:38
Case: Data analysis tutorial
Learn about how a biologist learned to analyze her RNA-seq data
14 November 2019 @ 10:42
Case: 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.
13 October 2019 @ 10:49
Case: Bioinformatics workshop
Learn about how an NGS service provider brushed up on their bioinformatics know-how
12 September 2019 @ 10:51
Case: Predictive analytics for cancer
Learn about how a research group in Lund University got a state-of-the-art predictive model utilizing gene expression and clinical data from over 4000 patient samples
20 August 2019 @ 15:18
Case: ChIP-seq analysis service
Learn about how a research group at the University of Turku found a solution for their recurring bioinformatics needs
16 July 2019 @ 11:00
Case: LIMS consulting
Learn about how MyLab took their first step toward genomic data management
15 May 2019 @ 11:13
Case: Cost analysis of sequencing
Learn about how Roal Oy entered the world of high-throughput genomics
6 May 2019 @ 11:17
Case: Variant analysis
Learn about how researchers at the University of Tampere ensured that they get the most out of their DNA-seq data
15 April 2019 @ 11:25
Case: Bioinformatics consulting for bacterial genomics
Learn about how a research group with limited bioinformatics resources got flexible expert support for their analysis
12 March 2019 @ 11:29
Case: Validation of cell lines
Learn about how Pharmatest ensured that their cell lines are exactly what they are supposed to be
26 February 2019 @ 11:37
Case: Virus quasispecies quantification
Learn about how TATAA Biocenter could provide fast, yet customized bioinformatics support for their client
18 February 2019 @ 11:41
Case: Plant gene expression study
Learn about how a plant biology group solved their data analysis bottleneck
17 January 2019 @ 11:45
Case: Transgene discovery
Learn about how the genetic modification of a disease model was validated
8 January 2019 @ 11:53
Case: 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
5 December 2018 @ 11:57
Case: Epidemiological data exploration platform
Learn about how large datasets can be easily shared and explored with a web-based platform
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