Bioinformatics, Biostatistics & ML/AI Consulting

With 5 offices worldwide (Boston, San Francisco, Belgium, The Netherlands & Switzerland), our expertise in data-analysis, pipeline development and automation, data integration, cloud solutions and biology allow us to provide bioinformatics services of the highest standards.

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Think global, act local
Offices in Boston, San Fransisco, Belgium, The Netherlands & Switzerland
Strong international team of 40+ dedicated and skilled employees
Combination of biology and data science expertise
Communication-driven, result-oriented and creative consulting
Both remote and on-site work
Scientific, professional and time-conscious

Data driven discoveries

Bioinformatics consulting

With the ever-expanding possibilities in next-generation Sequencing and high-throughput array technology, the correct analysis and integration of biological data is becoming a hurdle in many life science research projects.

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Biostatistics

The abundance of biological data demands – from a scientific as well as a regulatory perspective – increased efforts in statistical analysis and data validation.

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Machine Learning for life sciences

Computer assisted analysis techniques have been pivotal instruments in modern life science research, and keep evolving at an increasing pace. Our experts operate at the interface of biology and information technology, and leverage this know-how in the domains of algorithm development, data mining, pattern recognition, image analysis, neural networks, deep learning and many more.

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We look forward to develop great bioinformatics projects with you anywhere in the world.

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We are active in these bioinformatics domains

Genomics

Genomics is the study of genes and chromosomes. 
Metagenomics

Metagenomics is the study of microbial communities present in environmental samples, such as stool, sewage, soil, etc.
Machine Learning

Find hidden patterns in existing data, public repositories combined with your R&D data.
Database Bioinformatics

All good analysis start with good data. 
Single Cell & Transcriptomics

Transcriptomics connects the genome to its gene function.
Epigenomics

Discovering the right epigenetic state often pre-defines pharmacological use and efficacy. 
Systems Biology

By analysing holistic models the aim is to capture emerging patterns in cells, tissues and organisms.
Immunomics

Immunomics is the study of the immune system using genome-wide approaches.
Proteomics

A deeper understanding of biological consequences due to genomic processes uncovering the real targets.
Metabolomics

Metabolomics is the study of substrates and products, known as metabolites, in a system that are influenced by both genetic and environmental factors
Cloud Solutions Bioinformatics

Biological data means big data, means massive storage and hence, flexible, parallel compute power.
Agrigenomics

Agrigenomics enables improving productivity and sustainability of crop and livestock production.
And more

An extraordinary project? Please let us know as we like to use our creative mindset next to our logic and coding skills.

Data driven case studies

04 Oct

Diagnostics of prostate cancer using Machine Learning

 Machine learning & AI
04 Oct

Development of ML-based epitope prediction algorithms for T-cell MHC and protective B-cell antigens

 Machine learning & AI
04 Oct

CFI protein engineering with Machine Learning

 Machine learning & AI
01 Aug

Custom annotation of public single-cell data offers opportunities for target identification

 Single cell & transcriptomics

Let’s discuss your bioinformatics project


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