Bioinformatics can be a very subjective discipline. This is partly due to the wide range of tools, data collection methods, and the creative freedom in designing analysis pipelines. Biologists are often fixated on finding a graph or plot that aligns with their hypothesis at the cost of accuracy. As a result, bioinformaticians must work with different choices in their analysis, often needing multiple iterations to get reliable feedback and avoid errors.

At BioStack, we’re determined to help you save valuable time by delivering high-confidence insights from your data. This allows your organisation to focus on the broader impact of your research without worrying about the accuracy of your analysis.

ChatGPT and other AI tools are fantastic for getting started with your analysis, helping with code, or running quick statistical tests. But they aren’t a foolproof or perfectly accurate solution. The way these models are trained—and the inputs we give them—can heavily influence the results. We use AI daily to debug code and learn how tools work, but we’re extremely cautious about relying on it for critical decisions or deep interpretations of results. Working closely with these models, we’ve seen plenty of moments where they fall short and misinterpret or misguide users. AI cannot replace the domain expertise required to make go / no-go decisions for informed, data-driven biology.

You can get started with a free initial consultation (The first call is on us)! We’re committed to only moving forward if we’re confident in solving your problem. Simply submit a written description of your issue, and within 24 hours, we’ll let you know if we’re able to provide effective solutions tailored to your needs.

While we don’t offer free trials, we can work on a trial dataset or a subsidised assessment you may want to conduct. These will be charged hourly.

• Within genomics our solutions are focused towards RNA-seq, ATAC-seq, their corresponding single-cell variants, whole-genome sequencing, and 3D genome organisation analysis.

• Within proteomics our solutions are focused towards protein structure prediction modelling using Alphafold, protein-protein interaction modelling (protein binding), and networks.

• Within mass spec, we offer services in phosphoproteomic hits identification, quantification, and analysis.

Our diverse service offering meets the unique needs of each client’s project duration and requirements. We follow tailored client instructions, often pushing the limits of LLM model testing and rigorously assessing model accuracy for complex biology and bioinformatics queries. Our expertise ensures precise evaluation in advanced scientific domains.