Comprehensive Bioinformatics and Computational Research Solutions for Biomedical Innovation
Leading-Edge Bioinformatics and Computational Analysis
We provide rigorous, publication-ready bioinformatics analysis tailored to your specific biological questions. Every workflow is designed around your experimental design, not applied as a fixed template.
Core services include:
• Bulk RNA-seq analysis, differential expression, pathway enrichment
• Single-cell RNA-seq analysis, clustering, trajectory inference, cell type annotation
• Spatial transcriptomics analysis, deconvolution, spatial domain identification
• Multi-omics integration, transcriptomics with epigenomics or proteomics
• ATAC-seq and chromatin accessibility analysis
• ChIP-seq analysis and peak annotation
• DNA methylation analysis
• Whole exome and whole genome sequencing analysis
• Variant calling, annotation, and prioritization
• Somatic mutation analysis in cancer datasets
• Copy number variation analysis
• Microbiome data analysis
• Proteomics and mass spectrometry data analysis
• Metabolomics data analysis
• Pathway, gene set enrichment, and network analysis
• Machine learning for biomarker discovery
• Survival analysis and clinical association studies
• Data visualization and high quality figure preparation
• Reproducible workflows using R, Python, Snakemake, Nextflow
• Reviewer response analyses and manuscript support
Hands-On Workshops and Specialized Training Courses
We deliver practical, project-driven training designed for biomedical researchers who want immediately applicable skills.
Training topics include:
• R programming for biomedical research
• Python for bioinformatics
• RNA-seq data analysis from raw reads to publication
• Single-cell RNA-seq analysis workflows
• Spatial transcriptomics analysis
• Differential gene expression analysis
• Data visualization with ggplot2 and Python libraries
• Statistical foundations for omics data
• Experimental design for high-throughput sequencing
• Reproducible research and workflow management
• Introduction to Linux for researchers
• High performance computing for bioinformatics
• Git and version control for scientists
• Machine learning in biomedical research
• AI applications in omics analysis
• Grant-ready data analysis planning
• Private one-to-one project based mentoring
All courses are updated to reflect current technologies and state of the art analytical approaches.
Project Consulting and Experimental Design Strategy
We provide strategic consulting to ensure your project is computationally sound before data generation begins.
Consulting services include:
• Experimental design optimization
• Power and sample size considerations
• Sequencing strategy recommendations
• Metadata structuring and batch effect mitigation planning
• Technology selection guidance
• Public dataset benchmarking
• Grant proposal support
• Bioinformatics section writing for funding applications
• Pipeline architecture design for research groups
• Long term collaboration for ongoing projects
This minimizes costly experimental mistakes and strengthens downstream analysis.
Artificial Intelligence and Machine Learning for Biomedical Research
We integrate modern AI methodologies into biological data analysis to uncover complex patterns and predictive insights.
AI services include:
• Supervised and unsupervised learning models
• Predictive biomarker discovery
• Feature selection and dimensionality reduction
• Deep learning for omics datasets
• Integration of clinical and molecular data
• Automated cell type classification
• Risk prediction modeling
• Natural language processing for literature mining
• AI driven hypothesis generation
• Custom AI pipeline development
All models are developed with interpretability and biological relevance in mind.
Ready to Advance Your Research?
Whether you need expert analysis, tailored training, or strategic consulting, we are here to help.
Let’s discuss how Trinobia can support your bioinformatics analysis, training, or project development.
Contact us today.