Contact Details
ENPICOM
Oranje Nassaulaan 28A, ‘s-Hertogenbosch
Alvise Trevisan
+31 85 2500575
Hotel Description
ENPICOM develops genomic data analysis methods and software for applications in immuno-oncology, immunology and immune-mediated diseases
Thanks to our unique mix of computational expertise, software engineering and biological understanding, our applications are easy to use and intuitive, yet backed by robust computational methods and software.
We cover the entire software development process for a life science application:
- Development of a computational method to answer your biological question
- Development of a software pipeline to carry out the data analysis
- Development of interactive visual applications to explore and interpret the data.
ENPICOM has a growing suite of software tools for the analysis of immunogenomic data, with applications ranging from toxicity analysis of immune receptors to comparative analysis across time and patients of T and B-cell repertoires.
- Biomedical & health
- Industrial biotech
- Immunogenomics
- Software engineering
- Development of computational methods
- Immunology
- Oncology
- Hematology
- Immune-mediated diseases
Expertise and Track Record
ENPICOM’s suite of tools for analysis of immuno-genomic data is the only data-analysis platform that is
- Compatible with all major NGS sequencing platforms
- Compatible with all major library preparation protocols for T and B-Cell repertoire sequencing (RepSeq)
All our tools are supported by a team with a unique mix of biological understanding and software engineering experise.
The methods and applications developed by ENPICOM and its team members have been published, or instrumental for the publication in top level journals, including Cell, Nature, and Nucleic Acids Research.
Selected projects (with customer/partner):
Project: CrossReact
- Customer/Partner: undisclosed pharmaceutical company
- Description: a computational method and web application for the screening of off-target reactivity of affinity-enhanced T-Cell Receptors
- Contribution: entire development (calibration on data supplied by customer)
Project: Profiler
- Customer/Partner: undisclosed pharmaceutical company
- Description: a computational methods and software tool for the analysis of RepSeq data (T-Cell Repertoire) and the reconstruction of T-Cell Receptor amino acid sequences
- Contribution: entire development (calibration on data supplied by customer)
Project: Theoretical Tracer Fate Detection
- Customer/Partner: VIB (Vlaams Instituut voor Biotechnologie)
- Description: a web application for the design and analysis of stable isotope metabolomics experiment
- Contribution: entire development (calibration on data supplied by customer)
Project: RUBIC
- Customer/Partner: NKI-AVL (Nederlands Kanker Instituut-Antoni van Leeuwenhoek)
- Description: A software package for identifying cancer driver genes by detecting recurrent DNA copy number breaks
- Contribution: entire development (calibration on data supplied by customer)
ENPICOM has experience in integration of different omics datasets (with reference to the projects listed in this page)
- ELISA data (Project: CrossReact)
- NGS sequence data (Project: Profiler)
- Metabolic compounds (Project: Theoretical Tracer Fate Detection)
- Copy number data (Project: RUBIC)
- Verdegem, Dries, et al. "TTFD: a metabolic network-based guidance tool for the setup and interpretation of stable isotope metabolomics experiments", in preparation
- Van Dyk, Ewald, et al. "RUBIC identifies driver genes by detecting recurrent DNA copy number breaks." Nature communications 7 (2016).
- Johnson, Jackie, et al. "Targeting the RB-E2F pathway in breast cancer." Oncogene 35.37 (2016): 4829-4835.
- Lelieveld, Stefan H., et al. "ConBind: motif-aware cross-species alignment for the identification of functional transcription factor binding sites." Nucleic acids research 44.8 (2015): e72-e72.
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Hotel Characteristics
100
IEC 62304
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