We are publishing on our entepreneurial journey, our learnings along the way as well as bioinformatic aspects and insights gained with and of our product.
Linking multiple omics datasets and finding something meaningful in them is a task we excel at knowing01. Read how we quickly harmonized 97 Multiomics datasets to find evidence for the majority of RNA-binding proteins as well as three potential biomarkers in one of our COVID-19 collaboration projects.
Personal view of Nikola on the promise of delivering results with data science, AI, ML and the huge amount of data (big data) generated in Biotech research. Is it enough to just analyze the data? What are the disappointments and what are the big challenges?
Data is the building block of everything. However, its heterogeneity is a major challenge for data science. Data scientists struggle every day with the question of where to start linking the diverse datasets. Learn more about this topic and how a unified data model could be the solution.
Enormous amounts of data are generated daily, stored in a variety of public repositories. knowing01 software was developed to quickly link the large variety of data sets together. Read how we contributed to our collaborators peer-reviewed publication with data expansion.
Molecular COVID-19 disease research is flooded with large variety of data types, generated through so-called OMICS technolgies. knowing01 technology are designed to quickly leverage the large variety of data. Read up on challenges of molecular (COVID-19) disease research and how our technology addresses the needs.
Started 2015 as scientific project, knowing01's pre-incubation time held many adventures and challenges up for us. We started off as academic scientists with a business idea and grew into entrepreneurs. The project were funded by the m4 award. This ultimately brought us here today. Read up on our pre-incubation journey.