Your one-stop portal for all bioinformatics needs
The Bioinformatics and Genomics platform – BiGEst-ICube provides tailored bioinformatics services across a wide range of applications. Its activities span evolutionary, functional, and biomedical bioinformatics. The platform offers users scientific and technical expertise, as well as a comprehensive set of services, software tools, databases, and hardware resources.
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The platform
BiGEst-ICube brings together software, databases, hardware, and high-performance tools—all in one place.
Scientific and technical experts are available to help you make the most of these resources and guide you through their use.
Thanks to cutting-edge equipment, the platform also provides privileged access to powerful computing and data-storage solutions.
Data quality is at the heart of our expertise. We ensure rigorous data management throughout the entire data lifecycle.
Galerie
Expertise and resources
Scientific expertise
- Analysis of relationships between sequence, structure, function, and evolution
- Comparative genomics, from bacteria to metazoans
- Study of rare genetic diseases
Technical expertise
- Design of high-performance computing strategies
- Machine learning
- Optimization using evolutionary algorithms
- Data stewarding: preparation, curation, and FAIRification of data
Core equiment
- Computing and storage servers
Software and database resources
- OrthoInspector: software and database for ortholog prediction
- PipeAlign: software suite for generating multiple sequence alignments
- Ordali: tool for visualizing and analyzing annotated multiple sequence alignments
- GxDb: system for processing, analyzing, and visualizing transcriptomic data
- EASEA: software for designing and deploying evolutionary algorithms on massively parallel architectures
Services
- Omics analysis (transcriptomics, proteomics, metabolomics, lipidomics)
- Data analysis: characterization, exploration, preparation, curation, FAIRification
- Development of dedicated AI and machine learning models
- Implementation of optimization methods
Keywords: bioinformatics, transcriptomics, metabolomics, proteomics, lipidomics, artificial intelligence, machine learning, optimization, multiple sequence alignment, data management
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