Bio-Mosaic
Expert Bioinformatics Consulting
Tailored pipelines, AI/ML workflows and data-driven insight for life-science research and industry.
Contact UsAbout
Bio-Mosaic è una micro-consulenza che sviluppa pipeline bioinformatiche, soluzioni di machine-learning e visualizzazioni interattive per università, biotech e aziende digital-health. Referente principale: Marco Anteghini PhD.
experience
delivered
organisations
Services
Custom Bioinformatics Pipelines
End-to-end NGS, metagenomics and proteomics workflows — automated and reproducible.
AI & Machine Learning
Deep-learning models for structure prediction, functional annotation and risk scoring.
Data Visualisation & Reporting
Dashboards and publication-ready figures that turn data into decisions.
Training & Workshops
Hands-on courses in R, Python and workflow best practices.
Projects
Assesing the risk of rare diseases development
The project includes collecting and analyzing genomic data to evaluate and optimize methods for predicting pathogenic genetic variants and developing an open-access computational platform for assessing the risk of rare neurodevelopmental diseases.
Optimize Human Gut Microbiota Pipelines
Development of pipelines for taxonomic assignment of bacteria in the human gut microbiota of patients, aimed at prevention and nutritional intervention, and detection of dysbiosis and other health factors.
Publications
How did we get there? AI applications to biological networks and sequences
Published in Computational Biology and Medicine, April 2025
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In-pero: Exploiting deep learning embeddings of protein sequences to predict the localisation of peroxisomal proteins
Published in International Journal of Molecular Sciences, 2021
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OrganelX web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detection
Published in Computational and Structural Biotechnology Journal, 2022
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PortPred: exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substrates
Published in Journal of Cellular Biochemistry, 2023
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Revealing function, interactions, and localization of peroxisomal proteins using deep learning-based approaches
PhD Thesis, Wageningen University, 2022
View PublicationCollaborations
BioFold
Bioinformatics research group at the University of Bologna
Research group focused on protein structure prediction and analysisBioINForm
Non-profit focused on bioinformatics training
Training over 200 students in bioinformatics through 5-day intensive programsNGB Genetics
Company specializing in genetic analyses
Providing personalized nutrition recommendations based on genetic analysisLifeGlimmer GmbH
Company specializing in advanced in-silico solutions for biological data
Developing cutting-edge bioinformatics solutions for industry and academiaWageningen University and Research
Laboratory of Systems and Synthetic Biology (SSB)
Collaboration on deep learning approaches for protein function predictionCliCon
Company specializing in generating real-world evidence, outcome research and health technology assessment through big data collection, processing, and analysis
Collaboration on healthcare data analysis and predictive modeling