We analyse and combine complex biomedical raw data into meaningful and medically relevant insights & conclusions
Standard
Standard bioinformatics routines mostly encompass quality control, preprocessing (e.g., read alignment, normalization), and downstream analyses like differential expression or variant calling.
Additionally, these include functional enrichment and pathway analysis to extract biological insights, but for bulk and heterogeneous single cell approaches.
Supported by our sister unit OHMX.bio
Custom
Custom data processing and visualization pipelines can also be worked out towards tailored analyses or high-quality reporting of the experimental data, providing actionable insights for even the most complex discovery projects.
Supported by our sister unit OHMX.bio
Predictive modelling
Advanced predictive modelling has revolutionized the health sciences.
Data-driven models based on multi-modal omics training data can unravel complex predictive tasks. Routine and more advanced tailored approaches in this field can be proposed.
Supported by our sister unit OHMX.bio
Technology codebase
Proof testing of the technology codebase ensures scientifically sound outcomes, with thorough power analysis to assess various variables throughout the code.
The framework supports multiple programming and scripting languages, including Python and R.
