Single Cell RNA Sequencing Analysis Services for Genomics Research
Comprehensive scRNA-seq analysis covering cell clustering, trajectory inference, RNA velocity, spatial transcriptomics, and multi-omics integration supporting 10X Genomics, Drop-seq, Smart-seq2, and more.
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.
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 (Seurat, Scanpy)
- 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 using reference databases
- Trajectory Analysis to infer developmental paths (Monocle, PAGA)
- RNA Velocity Analysis for predicting future cell states
- Ligand-Receptor Interaction Analysis (CellChat, NicheNet)
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 across conditions and batches
- scRNA-seq and scATAC-seq Multiome Analysis
- Spatial Transcriptomic Analysis (10X Visium, Slide-seq)
- Integration with bulk RNA-seq and proteomic data
Our Single-Cell Analysis Workflow
Quality Control & Filtering
Comprehensive QC including mitochondrial content, gene counts, and doublet detection.
Normalization & Integration
Data normalization, batch correction, and integration of multiple samples.
Clustering & Annotation
Cell clustering, marker identification, and cell type annotation.
Advanced Analysis
Trajectory inference, differential expression, and functional analysis.
Get a Custom Quote for Your Single Cell RNA-Seq Project
Our team is ready to help you design the best scRNA-seq analysis strategy — from experimental design to publication-ready results.
Frequently Asked Questions
Find answers to common questions about our single cell RNA sequencing services and processes.