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Unicle Data Science.
We understand biology, we really do


Many petabytes of biomedical data are generated everyday.

At Unicle we are scientists first, and are truly excited to help you discover patterns, identify relationships and test hypotheses in complex biomedical datasets such as those generated from molecular profiling technologies, electronic health records or laboratory information systems.

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The challenge in analyzing such hypothesis-free datasets is that it requires extensive domain-knowledge, computer science skills as well as a solid understanding of applicable mathematical and statistical concepts. That is, the analysis of hypothesis-free biomedical data requires true data science, not just classical statistics and knowing how to code.

Interdisciplinary biomedical data scientists are still few and far between. This results in two common scenarios where: i) the available data scientists are overburdened (a common complaint from bioinformaticians); and/or ii) biomedical and computer scientists are lost in translation, neither party understanding the other sufficiently to do high-impact science (an oft-heard complaint from biomedical researchers).

Unicle provides a palette of complementary services that aim to alleviate the workload on bioinformaticians and empower biomedical scientists to do their own data mining. We provide integrated solutions that help to organize, share and analyze biomedical data and assist with biological and clinical interpretation.

    1. Our consultants have a strong background in clincial and biomedical science and a track record of supporting high-impact publications in journal families such as Nature, Science and Cell. They are are highly motivated to help you explore and navigate the range of possibilities in your data - the more complex the datasets, the better.

    2. Our online UniApp platform is an easy-to-use and highly scalable software suite that allows biomedical scientists to perform highly-complex analysis via an easy-to-use point-and-click interface, and enables bioinformaticians to upload, analyze and share data via an accessibility API.

    3. We allow you to reuse our cloud infrastructure and build custom-tailored applications to organize, analyze and share data.


bioinformaticians,
We understand your challenges


Bioinformatics challenges are plentiful, data generated from new technologies requires the development of novel algorithms, biomedical researchers are restlessly waiting for data processing and interpretation, and perhaps you have scientific projects of your own that need to be developed.

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At Unicle, we have all been in similar situations. We realize that we may not be able to help you develop new algorithms or contribute to any intellectual pursuits pertaining to your own original research. However, we can help to maximize the time available for such endeavors.

Use our UniApp API to setup custom data analysis pipelines that take care of data upload, preprocessing and basic analysis. Then generate reports (e.g. via rmarkdown), or, for more complex datasets, share the data directly through the UniApp platform and help your collaborators to do their own data mining via our point-and-click interface.


Clinicians.
It's about time!


Physician-scientists have greatly contributed to scientific discoveries and made significant advances in the evidence-based management of patients. Clinicians have unrivalled domain-knowledge, understand the actual needs and limitations of day-to-day practice and have unlimited access to patient-derived data and material. However, the time to develop ideas and hypotheses into scientific projects and, ultimately, scientific publications is very often very limited. We love to help you convert your ideas into succesful scientific projects.

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We commonly encounter two scenarios. The first scenario is where large datasets have been generated in the context of a scientific project or by the electronic collection of historical data. We can help you upload these data into our UniApp platform and perform data mining, pattern discovery and relationship identification in close collaboration.

The second scenario is where clinicians have a specific hypothesis or gut-feeling but don't known, or don't have time, to collect and analyze the appropriate datasets to pursue the idea. Unicle is excited to work collaborate and sugggest a custom-tailored experimental design and analysis approach to test your hypothesis.


Core facilities.
"Thanks for the data...
...what does it mean?"


Your core faciltiy generates a large amount of data which has to be organized, shared and ultimately converted into knowledge.

Data interpretation is especially time-consuming, but also highly-valued and sought after by customers. Use the UniApp platform to remove key bottlenecks in your data management pipeline and provide an interface that help clients interpret their own data.

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The UniApp platform is ideally suited to unify data streams in core facilities and provides a production-ready interface with customers.

Your bioinformatics unit can easily setup pipelines to stream data into our UniApp platform via our API. You can also use this API to setup automatic custom-tailored analyses and stream the results back into house-style conform reports.

Provide project credentials to your clients so that they can securely login, access their data and perform additional data mining via the biologically-oriented UniApp user-interface.


Biotech.
Accelerate your research


New molecular profiling technologies such as single cell and spatial analyses offer entirely novel ways to understand your systems, prioritize drug targets and identify biomarker signatures for (companion) diagnostics. Unicle helps to map and realize possibilities to incorporate these state-of-the-art techniques in your research.

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Unicle closely collaborates with a range of acedemic research groups and core facilties around the world, many of them leaders in their field. We are therefore uniquely positioned to boost your research with state-of-the-art technologies, and allow you to tap into cutting-edge research.

Our UniApp platform is the ideal solution for biotech companies that do not have their own bioinformatics unit, as it allows molecular biologists to analyze their own data - if necessary guided by Unicle's data science consultants.

The UniApp Omics Explorer

Unicle's UniApp.
Unify data streams. Explore more.


The UniApp is Unicle's flagship product, a highly scalable omics explorer that integrates the latest algorithms for bulk, single cell and spatial data analysis. Biologists and clinicians interact with their data via an easy-to-use graphical user interface, bioinformaticians can connect via a feature-rich API.

Create a UniApp account »

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The algorithms integrated in the UniApp are state-of-the-art, field-tested and have been used in numerous studies. As a biomedical researcher, you now have these algorithms at your fingertips, apply them to your data and use our highly customizable visualization module to explore the results and generate publication-ready figures. Unicle consultants use the UniApp in all their projects, and are available to provide expert advice and assistence with your data too.

The UniApp platform can significantly alleviate the burden on bioinformaticians and core facilties, stream your data from your data generation and analysis pipelines directly into the platform and share the project credentials with your customers. Your customers will receive their data faster, and the UniApp empowers them to explore their data largely independently.

Modules

scRNA seqencing.
Discover more!


scATAC sequencing.
Gene expression regulation


Spatial omics.
Location, location, location


Bulk omics.
A powerful classic


Mass cytometry.
Single cell protein expression


Stable-isotope tracing
Understand metabolic flux

Key features

Easy to use.
Biologically-oriented interface


Accessibility API.
Connect your analysis pipeline


Share data.
Disseminate your research


Scalable.
Virtually unlimited computational resources


Customizable.
Publication-ready figures, custom-tailored algorithms


Secure.
Your data encrypted. GDPR compliance. You are in control.

Data protection is a top priority for Unicle and our academic and industrial customers. Data protection in biomedicine has many different facets from invention protection to intellectual property rights and the new GDPR regulation.

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Encryption: Unicle uses encryption to protect data in transit and at rest. Data in transit is protected using HTTPS, which is activated by default for all users. We use Google Cloud Platform services to encrypt customer content stored at rest, without any action required from customers, using one or more encryption mechanisms.

Data protection: Unicle's infrastructure is built to provide secure deployment of services, secure storage of data with end-user privacy safeguards, secure communications between services, secure and private communication with customers over the Internet, and safe operation by administrators.

The Unicle platform consists of in-house developed, open-source and proprietary software. Where we rely on third-party software to assist our services, each software package goes through a rigorous selection process to ensure it has the required security and privacy level.

GDPR: Unicle is committed to privacy protection. Any data that a customer and its users put into our systems will only be processed in accordance with the customer’s instructions, as described in our GDPR-updated data processing agreements.

As a customer, you can export and delete your data at anytime. Unicle will delete the relevant customer data from all of its systems within a maximum period of 180 days unless retention obligations apply.

For Unicle employees, access rights and levels are based on job function and role, using the concepts of least-privilege and need-to-know to match access privileges to defined responsibilities. Requests for additional access follow a process that involves a request and an approval from a data or system owner, manager, or other executives.

All Unicle's employees are required to sign a confidentiality agreement and complete mandatory confidentiality and privacy trainings, as well as our Code of Conduct training. Unicle’s Code of Conduct specifically addresses responsibilities and expected behavior with respect to the protection of information.

Licenses



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The UniApp consists of different modules, you only buy the modules that you need. Currently, we are offering scRNA-seq, scATAC-seq and bulk omics (transcriptomics, proteomics, metabolomics) modules. The resources associated with each module are sufficient to finalize at least one project considering fair and normal use of resources.

Each UniApp user will receive their own login credentials, it is possible to upload multiple projects per user and it is also possible to share projects between users in the context of collaboration. Bioinformaticians can access the UniApp via our API.

If additional resources are required, these can be separately purchases out-of-bundle.

Use our infrastructure

Biomedical apps.
Your own custom-tailored app


Whether it is to share or visualize data, for educational purposes, or for production, Unicle can develop highly customized applications for you. All our applications are based on reactive web technologies which allow for interactive exploration and vizualization of data. Interactivity greatly increases the depth with which data can be explored and significantly increases didactic value. Choosing for Unicle means that your application will be build on the same scalable infrastructure as the UniApp, ensuring security and accessibility anytime, anywhere.

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All of Unicle's web applications are build using the R/Shiny web framework. R is the most common data science programming language in the biomedical domain, whereas Shiny provides a framework for building reactive web applications. In essence, users of our applications are performing advanced data analytics in R without writing a line of code.

We use state-of-the-art cloud-computing technologies to make our applications secure and scalable. This allows your application to serve large datasets to many concurrent users.

Applications that we like to build include those based on tabular (omics, clinical data, anything that can be visualized in excel) as well as spatial (microscopy images, spatial RNA sequencing, etc.) data.


Cloud computing.
Exploit our scalable infrastructure


The performance and security of data science web applications are a function of the application and the hosting environment. Unicle hosts all apps on Google's Cloud Platform infrastructure, which provides a highly scalable and protected environment according to best practices.

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Scalability: Unicle developed apps can be hosted using a range of technologies and infrastructures such as Cloud Run or Kubernetes. We are happy to discuss the optimal solution for your application, considering costs and scalability.

Security: All of Unicle's apps are deployed into their own container, and the network access between containers is tightly controlled. All access to the apps is over SSL, and if required we can configure your app to use LDAP authentication.

Unicle's consultancy service

Unicle Data Science.
We biology


At Unicle, we understand that biomedical data analysis is inherently interdisciplinary. All our consultants have a strong background in biology, being originally trained as molecular biologists, medical doctors or translational bioinformaticians. We understand biological and clinical problems and know how to translate them into code, and back to give sensible answers.

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Unicle distinguishes itself with a strong focus on biology. For us, data analysis is a tool to discovery, not the end goal.

We can assist in building strategies to force complex datasets to reveal insight, guide and/or perform data analysis and if required help to write concise research papers.

All of our solutions integrate the UniApp platform which accelerates the discovery rate and provides an interface for efficient collaboration. If your project requires algorithms that are not yet included in our platform, we are happy to integrate them. If your project analyses new types of data, we can build additional custom-tailored data analysis modules or entirely new applications.

Unicle all the way!

1. Experimental design.
We help to convert your idea into a project


2. Grant writing.
Let us help to get the project funded


3. Data analysis.
Use our UniApp and consultancy services


4. Medical writing.
We have experience in writing papers for big journals - at your service


5. Research dissemination.
Use our custom web application service

Unicle's product pipeline

Location of Unicle's clients

Unicle supported research


P Carmeliet lab.
Single cell analysis of endothelial cells


Cantelmo lab.
EndoMT signature discovery


Pircher-Heidegger lab.
Omics discovery in clinical oncology


Conradi lab.
scRNA-seq in colorectal cancer


G Carmeliet lab.
Single cell analysis in bone

Co-founders

Matthieu Moisse

Software engineer | Scientist | Bioinformatician

LinkedIn | PubMed | e-mail

Matthieu obtained a PhD in medical sciences in 2015 and a master degree in Computational Engineering in 2010 both at the Catholic University of Leuven, Belgium. He has been as been active for over 10 years in the field of bio-informatics, with a focus on cancer and neurology. During this time he developed multiple pipelines for data analysis of array based and next generation sequencing data, going from whole exome and genome sequencing data to SNParrays and Methylation arrays. He founded his first NGS consulting company, GenAdvice, in 2016 and became a co-founder of Unicle Data Science in 2020.

Jermaine Goveia

Medical doctor | Scientist | Bioinformatician

LinkedIn | PubMed | e-mail

Jermaine was trained as a molecular biologists at the University of Amsterdam and as a physician-scientist at Utrecht University, both in The Netherlands. He performed research internships at the laboratory of Rakesh Jain at Harvard Medical School and clinical clerkships in pathology at the Mass General Hospital, Boston. Thereafter, he pursued a PhD in single cell analysis in the laboratory of Peter Carmeliet and started residency in clinical pathology at the UZ Leuven, Belgium before co-founding Unicle Data Science in 2020.

Advisors

Peter Carmeliet

Scientist | Entrepreneur

Wikipedia | PubMed

Peter Carmeliet, is head of the Laboratory of Angiogenesis andVascular Metabolism and former director of the VIB-KU Leuven Center for Cancer Biology. He published 720 papers (90,003 citations, h-index 142). He currently uses multi-omics (single cell) technology to study how endothelial cells (EC) change their metabolism during vascular branching, exploring the therapeutic potential of targeting EC metabolism for anti-angiogenic strategies. Peter won various awards, including the Francqui Prize in Biological and Medical Sciences (2002), the Ernst Jung Prize in Medicine (2010) and the Heineken Prize for Medicine (2018). In 2015 King Filip of Belgium granted him the Noble title of ‘Baron’.

Yonglun Luo

Scientist | Executive director

LinkedIn | PubMed

Yonglun (Alun) Luo received his PhD in Medicine from the Department of Biomedicine, Aarhus University. His research group at Aarhus University has extensive experience in next-generation sequencing and single cell analysis. Alun was appointed executive director at the Lars Bolund Institute of Regenerative Medicine, BGI-Qingdao, China, in 2017. His current work at BGI-Qingdao combines next-generation sequencing with bioinformatics to identify and exploit options for regenerative medicine.

Luc Schoonjans

Scientist | Manager

PubMed

Luc Schoonjans is an experienced operations manager having held such roles at different research institutes in the past decades. He currently works at the Flemish Institute for Biotechnology and to guide setting up the international infrastructure for large-scale multi-omics and single cell analysis.

Developers

Federico Taverna

Software engineer | Scientist | Bioinformatician

LinkedIn | PubMed | e-mail

Federico is a software engineer with a masters degree in bioinformatics. He developed the BIOMEX software for multi-omics analysis during his PhD studies on the single cell characterization of endothelial cells in the laboratory of Peter Carmeliet.

Miroslav Prokop

Software engineer | Entrepreneur

LinkedIn | PubMed | e-mail

Miroslav is a software engineer, currently pursuing a bachelor degree in computer science at Prague University. He has worked as an independent contractor since 2019 focusing on software and web development.

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