Transcriptomic analysis
The importance of gene expression in the study of different diseases.
Study of gene expression
Transcriptomic analyses allow quantification of gene expression using NGS platforms. The interpretation of data from RNA sequencing (RNA-Seq) has become an increasingly demanded service due to its sensitivity and accuracy.
The bioinformatics analysis we perform at Dreamgenics includes:
- Quality control of the sequences.
- Alignment of reads against reference sequences.
- Quantification of gene expression in the sample.
- Differential gene expression analysis with p-value and with adjusted p-value.
- Enrichment study of gene ontologies and pathways.
- Study of isoforms generated in alternative splicing events*.
- Identification of other RNAs (smallRNAs and ncRNAs)*.
*Where the experimental design and coverage allow.
Bioinformatics Services
Results in Genome One Reports
We deliver the results of our transcriptomic analysis through our Genome One Reports platform. A simple and intuitive web platform that will provide you with the following advantages:
- You will have access to the quality analysis of the sequences obtained.
- Sample correlation analysis and differential expression study with p-value and adjusted p-value.
- PCA plot, Histogram, MA plot, Volcano plot, Heatmap and Correlation heatmap
- Enrichment of Gene Ontologies paths and terms (WikiPathways, GO-MF, GO-CC and GO-BP)
- All tables and figures are easily exportable, ready to be used in scientific publications.
PCA Plot
Histogram
MA Plot
Volcano Plot
Heatmap
Correlation Heatmap
Different options in RNA-Seq experiments
The libraries used in an RNA-Seq experiment depend on the starting sample and the type of RNAs to be studied.
Contact us and we will help you choose the best option for your project.
mRNA-Seq & Total RNA-Seq
- DNBSEQ™-G400 Platform (IVD)
- MGIEasy Fast RNA Library
- mRNA/mRNA + lncRNA analysis
- >1ug of RNA with RIN>7
- Recommended 40-60 M/sample
- Minimum 3 samples per condition
- Differential expression, ontologies and pathways
- Results in Genome One Reports
miRNA-Seq
- DNBSEQ™-G400 Platform (IVD)
- MGIEasy Small RNA Library
- miRNA analysis
- >1ug of RNA with RIN>7
- Recommended 20 M/sample
- Minimum 3 samples per condition
- Differential expression, ontologies and pathways
- Results in Genome One Reports
*Elimination of ribosomal RNA and globin mRNA in blood samples for Total RNA-seq.
