Single cell RNA-Seq
We offer bioinformatics analysis of NGS data for single cells.
Study of gene expression at the cellular level
Single cell RNA-Seq analysis allows the transcriptome of each cell to be analyzed individually and can reveal specific biological processes and molecular mechanisms that might not be detected by RNA sequencing techniques at the population or tissue level.
The bioinformatics analysis we perform at Dreamgenics includes:
- Sequencing and mapping quality control.
- Alignment of reads against reference genome.
- Quantification of gene expression at the single cell level.
- Cell filtering according to quality criteria.
- Integration of multiple biological replicates.
- Reduction of data dimensionality.
- Clustering or division of cells into different groups.
- Cell type annotation and validation by marker genes.
- Identification of cluster markers.
- Study of the evolutionary pattern or cell maturation (velocity and/or trajectory analysis).
- Study of intercellular communication.
- Comparative study by identification of conserved markers, compositional analysis, Pseudobulk differential expression analysis and enrichment analysis in pathways and gene ontologies.
Bioinformatics Services
Learn more about our NGS data analysis services by downloading our brochure
Results in Genome One Reports
The results of all analyses result in interactive graphs that can be explored on our Genome One Reports platform and downloaded as PDFs for use in scientific publications.
- You will have access to the quality analysis of the sequences obtained.
- You will have access to the results of the Cell Ranger analysis.
- PCA plot, Cell Clustering, Trajectory Analysis, RNA Velocity, Cell Chat, etc. depending on the chosen package.
- Individual reports for each experimental condition and for each comparative analysis
- All tables and figures are easily exportable, ready to be used in scientific publications.
PCA Plot
Cell Clustering
Cluster Evaluation
Differentially Expressed Genes
Violin Plot
Feature Plot
Differentially Expressed Genes
Violin Plot
Feature Plot
RNA Velocity
Neighbor Graph
Heatmap
Trajectory Analysis
Pseudotime trajectory
TOP 10 Expressed Genes (Up & Down) in a trajectory line
Cell chat
Heatmap cell chat
Principal Connections Between Cells
Available options
We adapt to the needs of each client through two analysis packages and the possibility of a completely customized analysis.
Standard package
- Quality analysis
- Integration of multiple samples
- Dimensionality reduction
- Cell Clustering (2D & 3D)
- Cell type annotation
- Identification of cluster markers
- Speed Analysis
- Results in Genome One Reports
Expanded package
- Everything included in the standard package
- Path analysis
- Analysis of intercellular communication
- Results in Genome One Reports
"Single cell RNA-seq technology allows us to develop more precise approaches to study physiological and pathological processes at the single cell level, facilitating the identification of new biomarkers and opening new avenues of research in the diseases we work with."
Dr. Elena Sánchez Luis
Researcher
