Single Cell RNA Sequencing Services
Unlocking the Secrets of Cellular Heterogeneity. Explore the intricate specifics of different cell types, states, and interactions.
Our Single Cell Analysis Capabilities
Single-cell RNA sequencing (scRNA-seq) has revolutionized genomics by providing unparalleled insights into the diversity and complexity of cell populations. This state-of-the-art method allows scientists to examine gene expression in individual cells, granting them the ability to dissect biological systems with unprecedented detail. Our comprehensive service is designed to help you navigate the challenges of large and intricate scRNA-seq datasets.
Preprocessing & Exploratory Analysis
We cover the full spectrum of data analysis, from ensuring data quality and initial processing to in-depth exploratory analysis.
- Quality Control, Read Alignment, and Gene Quantification
- Normalization and Batch Effect Correction
- Dimensionality Reduction (PCA, UMAP, t-SNE)
- Gene Expression and Pathway Analysis
Cell Identification & Trajectory Inference
Identify distinct cell populations and understand their developmental relationships and dynamic processes.
- Cell Type Identification and Annotation
- Trajectory Analysis to infer developmental paths
- RNA Velocity Analysis
- Ligand-Receptor Interaction Analysis
Integrative & Spatial Analysis
Combine multiple datasets for a more powerful view, integrating single-cell data with other omics layers and spatial context.
- Multi-sample Integration Analysis
- scRNA-seq and scATAC-seq Multiome Analysis
- Spatial Transcriptomic Analysis
Resolve Cellular Complexity with Single-Cell Analysis
Contact us to see how our single-cell expertise can provide the resolution your research deserves.