Mosaic
Expert Bioinformatics Solutions
Custom pipelines, AI/ML workflows, and data-driven insights for life-science research and industry.
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Mosaic develops custom bioinformatics pipelines, machine learning solutions, and interactive visualizations for universities, biotech companies, and digital health organizations. We transform complex biological data into actionable insights.
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Services
Custom Bioinformatics Pipeline Development
End-to-end NGS, metagenomics, and proteomics workflows — automated, scalable, and reproducible.
AI & Machine Learning Solutions
Deep learning models for protein structure prediction, functional annotation, and risk scoring tailored to your research needs.
Data Analysis & Visualization
Interactive dashboards and publication-ready figures that transform complex data into clear, actionable insights.
Bioinformatics Training & Workshops
Hands-on training in Python, R, and workflow best practices to empower your team with computational skills.
Projects
Patogenicity Risk Assessment
Computational tools for predicting the pathogenicity of genetic variants.
Data Management
Data engineering and management for complex datasets.
Gut Microbiota Analysis
Reproducible pipelines for taxonomic profiling and dysbiosis detection in human gut bacteria.
Sustainable Bio-Manufacturing
Computational biology solutions and Decision Support Systems for sustainable bio-manufacturing.
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: Deep learning for peroxisomal protein localization
Published in International Journal of Molecular Sciences, 2021
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OrganelX web server for protein localization
Published in Computational and Structural Biotechnology Journal, 2022
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PortPred: Transporter protein identification
Published in Journal of Cellular Biochemistry, 2023
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Partners
We collaborate with academic institutions, biotech companies, and digital health organizations to advance computational biology and bioinformatics research.