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

 

Gene_Expression_Timeline.jpg