Comprehensive analysis of single cell gene expression:
- De novo identification of unique cell sub-populations
- Rapid analysis of raw RNA-seq (transcriptome) sequence files (FASTQ) & miRNA to gain insights
- Comprehensive analysis of upregulation and downregulation of genes
- Differentially expressed genes across samples, time series, conditions or treatments
- Sort, filter and identify key patterns and pathways in highly expressed gene signatures
- Industry standard tools published in peer-reviewed journals
- Collaborate and share results across any extended research team
Deliverables:
- Intuitive results visualization
- Targeted data plots, charts, venn diagrams, heatmaps, time series and clustering
- Differentially expressed gene lists
- Gene expression level lists, charts, tables, CSV files
