Cellecta’s Bioinformatics team offers analysis services for RNA-Seq or Targeted RNA-Seq (i.e., DriverMap EXP assay) raw data. These services provide high-quality data and comprehensive analysis to help you meet your research goals.
Our services ensure high-confidence results with accurate titering, allowing you to focus on meaningful insights from your research.
Biological replicates are crucial for RNA-seq experiments. We assess the correlation of gene expression levels between samples to verify the reliability and reproducibility of experiments. A high correlation coefficient indicates a high similarity between samples, ensuring the quality of the data.
Fig. 1: Correlation of gene expression levels between different samples. The closer the correlation coefficient is to 1, the higher the similarity between the samples.
Our differential gene expression analysis identifies differentially expressed genes under different conditions. We generate a DEG list and provide data visualizations, including volcano plots, cluster analysis, and pathway enrichment analysis.
Fig. 2: The x-axis in the volcano plot shows the fold change in gene expression between different samples, while the y-axis shows the statistical significance of the difference.
Fig. 3: Heatmap showing groups of genes with similar expression patterns across different samples.
We conduct enrichment analysis to identify significant biological pathways associated with differentially expressed genes. This includes:
Fig. 4: Pathway enrichment analysis visualization showing significantly associated biological pathways.
Contact us at info@cellecta.com to discuss your RNA-seq bioinformatic analysis needs or request a quote here. Our expert team is here to provide you with high-quality, reliable data analysis to advance your research.
