Accelerate Cell and Gene Therapy Development with Expert Bioinformatics Support
Our Bioinformatics solutions help CGT developers reduce costs, flag risks early, and fast-track effective therapies.
What we offer
In silico solutions:
- Target identification
- On-target/off-tumour & off-target predictions
- Model selection: in vitro, in vivo, donor cell
- Design support for gene editing tools and experimental approach
Validation solutions:
- Product characterisation
- Clonotyping
- Insertion site analysis & vector copy number
- Immune cell profiling
- Molecular signature
- Mode of action & biological pathway analysis
Translation solutions:
- Precision medicine
- Biomarker prediction
- Patient stratification
Talk to a Bioinformatics Expert
Speak directly with a bioinformatics expert about your cell and gene therapy development and get tailored recommendations. Simply complete the form below and we’ll be in touch to arrange a time and date to suit you for a no-obligation consultation.
Why Choose Us?
Actionable Insights
We provide biologically actionable
insights, not just data.
Quick Turnarounds
Our quick turnaround times help
keep your timeline on track
Interactive Reports
Our interactive analysis reports allow you to fully explore your data
Tried and Tested
We have supported therapies
targeting neurodegenerative disorders, hearing loss,
pain and more.
Reduce Cell and Gene Therapy Development Costs with Bioinformatics
Since bioinformatic analyses can support cell and gene therapy development with everything from target identification to optimising therapeutic efficacy, they can have a significant impact on development costs. Strategic use of bioinformatics can speed up development timelines and help you recognise impending development failures as quickly as possible, minimising lost resources. What’s more, when used early enough, bioinformatic analyses can sign-post new development directions, to avoid failures and increase the chance of developing effective therapies.
Projects we have supported:
- Landscaping of public domain for data sets related to our clients’ targets of interest, to identify non-coding RNA associated with their target genes
- Analysis of differentially expressed genes (DEGs) to identify statistically significant changes (across specific comparisons confidential to the client) for a client developing an AAV gene therapy
- Mining and analysis of public data sets to identify gene and/or pathway overlaps relevant to our clients’ therapy research
- Mining public domain data to identify potential off-target sites for a client’s gene therapy
Need help with a similar project? Just fill in the form below and we’ll be in touch!
