BioMx | BioLizard

We understand that integration of multi-omics data presents a formidable challenge, thanks to data complexity and multi-dimensionality. To help you efficiently integrate and analyze multi-omics data to accelerate biomarker discovery, improve target identification, and broaden your understanding of disease processes, we have built Bio | Mx®, a pioneering multi-omics integration and analysis application that is specifically engineered to decipher the complex data landscape in multi-omics studies.

How it works

Bio | Mx^® deftly manages data from multiple omics strata, including both public and your own proprietary omics datasets, interweaving them to fully exploit their complex interrelationships. By leveraging advanced machine learning methods, like graph convolutional networks and autoencoders, Bio | Mx^® brings together distinct omics datasets to provide you with a comprehensive view of biological systems across different omics layers.

Why multi-omics analysis?

By providing comprehensive molecular profiles across different biological layers, multi-omics approaches can offer detailed insights into disease mechanisms, biomarker identification, and drug response prediction. Considering multiple layers of omics data can allow you to untangle these interactions and relationships, resulting in both scientific and financial advantages.

How multi-omics analysis benefits drug discovery and diagnostics R&D

In drug discovery, multi-omics analysis can enable the identification of novel drug targets, elucidation of complex molecular pathways underlying disease states, and development of data-driven personalized therapeutics tailored to individual patient profiles. Multi-omics analysis can also can inform drug repurposing efforts by identifying new indications for existing drugs based on shared molecular signatures across diseases.

Multi-omics analysis can also benefit diagnostics R&D by enabling the discovery of diagnostic biomarkers for early disease detection, improved (personalized) prognostics, and detailed treatment monitoring. Integrating multi-omics data with clinical information can also enhance diagnostic accuracy and enable precision medicine approaches, to ultimately improve patient outcomes.

Depending on your scientific question, using multi-omics analysis can get you to the same scientific insights quicker, translating into less time and money spent repeating experiments over the course of the project. On the other hand, multi-omics projects require skilled expertise to execute them well - which is why we built Bio | Mx^® to support scientists with multi-omics analysis.

𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻, 𝗰𝘂𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗼𝗳 𝘀𝗶𝗻𝗴𝗹𝗲 𝗼𝗺𝗶𝗰𝘀 𝗱𝗮𝘁𝗮 𝘀𝗲𝘁𝘀

Through extensive literature and public repository search using a combination of automated AI tools and review by BioLizard experts, Bio | Mx^® helps you to identify compatible genomics, epigenomics, transcriptomics, proteomics and metabolomics data sets that are relevant to your project. To avoid data pollution by verifying that each omics dataset included is of sufficient quality, extensive single omics analysis of each data set is performed. This challenges and validates its fitness for purpose, using statistical performance metrics.

𝗠𝘂𝗹𝘁𝗶-𝗼𝗺𝗶𝗰𝘀 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻

Different omics data sets must be merged into a single, consolidated gene feature matrix, suitable for downstream analytics. Bio | Mx^® provides a range of different integration strategies, with BioLizard experts choosing the optimal approach in the function of the concrete data for your project.

𝗔𝗜-𝗯𝗮𝘀𝗲𝗱 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴 & 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆

Bio|Mx provides a range of different discovery strategies, with BioLizard experts on board to help you choose the optimal approach in the function of the concrete data for your project and your research questions.

𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗲𝘅𝗽𝗹𝗼𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗰𝗿𝗲𝗮𝘁𝗶𝗼𝗻

To empower you to explore your results, combine them with other knowledge, and generate insights, Bio | Mx® results are integrated with Bio | Verse^®, our groundbreaking framework for self-service bioinformatics citizen data science.

Together we can make your project
rock solid

When you partner with BioLizard, you get state-of-the-art data analysis pipelines and tools to apply to your current and future research projects - and moreover, you receive end-to-end support that will make it faster and easier for you to turn your data into actionable insights. We also always ensure to fully explain our data science approach to solving your biological challenges - there’s no black box when you work with BioLizard.

Our ultimate goal is to empower you through data-driven innovation combined with interactive data exploration, thereby supporting you in extracting actionable insights from your data, and gaining a compelling competitive advantage.

Multi-omics made simple

How it works

Why multi-omics analysis?

Intuitive Interface

How multi-omics analysis benefits drug discovery and diagnostics R&D

What Bio | Mx^® offers you: