Computational Biology
Empower your research with state-of-the-art computational biology solutions—from single-cell sequencing insights to robust bioinformatics pipelines.
scRNA-Seq Analytics & Foundation Model Applications
Leverage pre-trained foundation models—trained on large-scale cell atlases—to extract rich cell and gene embeddings from your single-cell RNA sequencing data. These embeddings power a variety of downstream analyses, including:
- Cellular Profiling & Annotation: Employ foundation-model–derived embeddings to accurately characterize and visualize diverse cell populations—including rare or transitional states—while integrating data for comprehensive comparative analysis.
- Trajectory & Pseudotime Inference: Model developmental or differentiation pathways by mapping cells along continuous trajectories.
- Perturbation Prediction: Forecast transcriptional responses to genetic or drug perturbations using optimal-transport and deep generative frameworks, guiding design of follow-up experiments.
Custom Bioinformatics Pipeline Development
Streamline your omics workflows with end-to-end pipelines built for reproducibility, scalability, and compliance. Our services include:
- Data Preprocessing: Quality control, normalization, and batch correction for genomics, transcriptomics, and proteomics datasets.
- Alignment & Quantification: Reference alignment, transcript quantification, and count-matrix generation using best-in-class tools.
- Variant & Differential Analysis: SNP calling, allele-specific expression, and identification of differentially expressed genes or proteins.
- Multi-Omics Integration: Combine scRNA-seq, ATAC-seq, spatial, and proteomics data for holistic biological insights.
- Reporting & Visualization: Automated generation of interactive reports, figures, and dashboards for publication-ready results.