Home » Transcriptomics
Transcriptomic analysis
The importance of gene expression in the study of different diseases.
The challenge of understanding 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.
Our bioinformatics analysis includes:
- Quality control of the sequences.
- Alignment of reads against reference sequences.
- Quantification of gene expression in the sample.
- Analysis of differential gene expression between different samples.
- 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.
We can perform bioinformatics analysis from different files depending on the sequencing technology used:
- Illumina®: FASTQ
You can send us your raw files on a hard disk or share them via FTP. If you have any questions please contact us by sending an email to info@dreamgenics.com or calling 985 088 180 and we will help you.
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.
- PCA plot, Adjusted p-value 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

Adjusted P-value 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 to choose the best option for your project.
mRNA-Seq
- Illumina® NovaSeq 6000 Platform
- Illumina® TruSeq Stranded mRNA Library
- mRNA analysis
- >1ug of RNA with RIN>7
- 30-40 M/sample
- Minimum 3 samples per condition
- Differential expression, ontologies and pathways
- Results in Genome One Reports
totalRNA-Seq
- Illumina® NovaSeq 6000 Platform
- Illumina® TruSeq Stranded Total RNA Library
- mRNA and lncRNA analysis
- >1ug of RNA with RIN>7
- 40-60 M/sample
- Ribo-Zero Globin* treatment
- 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.





















Transcriptomic analysis
The importance of gene expression in the study of different diseases.
The challenge of understanding 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.
Our bioinformatics analysis includes:
- Quality control of the sequences.
- Alignment of reads against reference sequences.
- Quantification of gene expression in the sample.
- Analysis of differential gene expression between different samples.
- 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.
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.
- PCA Plot, Adjusted p-value histogram, MA Plot, Volcano Plot, Heatmap, 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

Adjusted P-value 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 to choose the best option for your project.
mRNA-Seq
- Illumina® NovaSeq 6000 Platform
- Illumina® TruSeq Stranded mRNA Library
- mRNA analysis
- >1ug of RNA with RIN>7
- 30-40 M/sample
- Minimum 3 samples per condition
- Differential expression, ontologies and pathways
- Results in Genome One Reports
totalRNA-Seq
- Illumina® NovaSeq 6000 Platform
- Illumina® TruSeq Stranded Total RNA Library
- mRNA and lncRNA analysis
- >1ug of RNA with RIN>7
- 40-60 M/sample
- Ribo-Zero Globin* treatment
- 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.





















Transcriptomic analysis
The importance of gene expression
The challenge of understanding 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.
Our bioinformatics analysis includes:
- Quality control of the sequences.
- Alignment of reads against reference sequences.
- Quantification of gene expression in the sample.
- Analysis of differential gene expression between different samples.
- 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.
Results in Genome One Reports
- You will have access to the quality analysis of the sequences obtained.
- Sample correlation analysis and differential expression study.
- PCA Plot, Adjusted p-value histogram, MA Plot, Volcano Plot, Heatmap, 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

Adjusted P-value 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 to choose the best option for your project.
mRNA-Seq
- Illumina® NovaSeq 6000 Platform
- Illumina® TruSeq Stranded mRNA Library
- mRNA analysis
- >1ug of RNA with RIN>7
- 30-40 M/sample
- Minimum 3 samples per condition
- Differential expression, ontologies and pathways
- Results in Genome One Reports
totalRNA-Seq
- Illumina® NovaSeq 6000 Platform
- Illumina® TruSeq Stranded Total RNA Library
- mRNA and lncRNA analysis
- >1ug of RNA with RIN>7
- 40-60 M/sample
- Ribo-Zero Globin* treatment
- 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.




















