Value as a Service
Our goal is to create Value by pursuing your business goals in the most effective way, to provide results without micromanagement burden, with clear communication and high availability. We are your research and development partner and deliver complementary skills to your R&D team.
The unique strength of our team is the capability to solve complex Life Science problems by effectively combining the efforts of bioinformaticians, data scientists and software engineers. Our teams successfully engage in interdisciplinary projects providing highest quality reproducible research and software tools while staying lean and dynamic. We make bioinformatics workflows with human readable code, as well as machine learning models and software that "understand" biological data.
Value
Powerful technology
Multiomics data
Domain knowledge
Powerful technology
Bioinformatics
Bioinformatics are not just tools. We create algorithms for novel biotechnologies to enable new generation of biological data analysis and interpretation.
- Integrated projects
- Multiomics data analysis
- NGS and novel biotechnologies data interpretation
- Custom design of experiment workflow
Artificial Intelligence, Data Science
Data Science enables us to push the limits of contemporary data analysis and interpretation by introducing advanced learning components for inference and prediction.
- Machine learning
- Deep learning
- Computer vision
- Natural language processing
- Biostatistics
- Inference
- Prediction
Powerful technology
Value
Domain knowledge
Software Engineering
Professional Software Development and Operations are key for efficient, stable and secure systems. We provide modern solutions tailored to the needs and develop them along your business growth.
- Customized pipelines & tools
- Specialized algorithms & performance tuning
- Cloud Native App
development - Big Data technologies
- Systems integration (eg. LIMS)
- TechOPS, project management,
quality assurance - FDA & HIPAA/HITECH compliance
Multiomics data
Multiomics Data
We understand biological data. We know the advantages and limitations of technologies used for investigation of different molecular levels from genome to metabolome. Our experts are ready to analyze and interpret custom and complex experiments to provide valuable insight and results.
- Subdomains: genomics, transcriptomics, proteomics, metabolomics, epigenetics, metagenomics, epigenetics
- Technologies: NGS, long read sequencing, Mass Spectrometry, L1000, microarrays
Domain knowledge
Cancer biology
Ardigen’s Team have built expertise in projects dedicated to extract valuable insights from complex molecular phenotypes of cancer. We focus on actionable interpretation of data in clinical and biological context to provide results you are looking for.
- Analyses of public and private cancer datasets (TCGA, CCLE, GEO…)
- Mode of Action and off target effects analyses
- Answering research questions with data and biological interpretation
- Biomarker and target discovery
- Variant calling (SNP, CNV, large rearrangements, gene fusions)
- Biostatistics for clinical studies
- Retrospective analysis of clinical studies
Immunology
Ardigen pursues information about interactions of human immune system with diseases. We have built specialized bioinformatics tools to precisely and specifically interpret immunosequencing data. We work on tumour infiltration assessment, immunotherapy outcome prediction and enabling drug discovery.
- Immunosequencing data analysis
- Neoepitopes prediction
- HLA typing
- Patient stratification
- Predicting immunogenicity
- Sequencing based tumor infiltration assessment
Microbiome
Experts at Ardigen advance the field of microbiome research by application of data science for targeted microbiome scouting and traits prediction using sequencing data. We have brought value to our partners enabling improvement of experimental process as well as providing exceptional quality of downstream analysis.
- 16S and WGS metagenomics species identification
- Prediction of probiotic properties based on genomic sequences
- Differential metagenomics analyses
CNS
Data Scientists and Bioinformaticians at Ardigen have successfully built NLP system for scientific publications about neuro-behavioral disorders, deconvoluted time series metabolomics data from clinical studies and provided biological context for experiments interpretation underlying the analysed conditions. We can do much more.
- AI-based Natural Language Processing for knowledge extraction
- Metabolic signature of disease
- Investigation of biological context of results
Learn More
Immunology Research
Ardigen’s Artificial Intelligence empowering immunotherapy by providing unique and more accurate Companion Diagnostics for cancer immunotherapies.
Microbiome Research
Microbiome is the key to human health. Ardigen provides AI based solutions boosting microbiome research.
AI in computational chemistry
Adoption of Artificial intelligence solutions brings the possibility to increase the speed and reduce costs of discovery process.
Target and Biomarker Discovery
Accelerate your discovery with AI-enabled bioinformatics
Bioinformatics & Software Engineering for Life Sciences
Don’t let your tools stop you from your discoveries!
Integrated Bioinformatics
Design a study with us and we will deliver the results for you!
17 March, 2021
Webinar - A single pixel is worth its weight in gold. Automatic microarray analysis platform
12 Nov, 2020
WEBINAR: Taming terabytes - life beyond text files in Life Science research
22 Sept, 2020
BLOG POST: PRISM - a writing assistant for the language of proteins
23 July, 2020
BLOG POST: Leveraging biomarkers to bring the right treatment to the right patient
30 June, 2020
ARTICLE: Deep learning approach to describe and classify fungi microscopic images
8 January, 2020
ARTICLE: Mol‑CycleGAN: a generative model for molecular optimization
How we work AGILE for Life Sciences
We work according to Agile methodology, which we adopted for Life Science projects. It accelerates the delivery of business value. Through a process of continuous planning and feedback we are able to constantly maximize value throughout the research or development process.
Starting Point
Traditional
Agile
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Client expectation zone
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Client can live with it
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Client's not happy
