Do you need a software pipeline to process your data?
We can develop bioinformatics pipelines with workflow managers that track and record all data processing steps, reporting final results in an interactive web-based format.
Processing standardization and logging are the pillars to make data FAIR: findable, accessible, interoperable, and reusable.
Looking for meaningful data patterns and trends?
We can guide you in your data analysis and advise on the most adequate computational methods to use. From simple statistical methods to more advanced artificial intelligence approaches, we can empower you with the right solutions.
Our past experience includes the development of machine learning models to make predictions from assay measurements, but also to discover meaningful patterns (such as motifs) in biological sequences.
Do you miss the right tool to quickly explore and visualize your data?
With the right tool you analyze your data faster and create visual representations that better highlight key features of your findings.
We can develop code-free, user-friendly, web-based apps tailored to your needs. If you have something specific in mind, let's discuss! Together, we may develop a game changer to increase your productivity.
Your legacy data is too heterogeneous, incomplete and querying it has become too tedious and time consuming?
We can help you reprocess your omics data to achieve standardization, and define data stewardship procedures to enable sustainable and scalable data storage.
In addition, using the adequate storage infrastructure and optimized file formats can drastically cut costs when big data is involved.
Running out of data storage?
Data processing takes too long?
We can advise on storage and compute infrastructure for big omics data, and help you setting it up.
If your needs are growing at a fast pace or if this is simply unpredictable, cloud services maybe be a flexible solution adjustable as you go.
Time to leave those excel files and move your data into an organized database?
The use of spreadsheets for long-term data storage is not advised as data security and integrity problems can easily arise. With a proper data management system you can avoid data changes due to human mistakes, keep your data in a centralized location, and fine tune user access.
