Transcriptomic Analysis

Transcriptomics analysis allows the quantification of gene expression through the use of NGS platforms. The interpretation of the data obtained with this technology has become an increasingly demanded service due to its sensitivity and accuracy.

At DREAMgenics we have extensive experience in the bioinformatics analysis of RNA-Seq from multiple species. In addition, we offer a completely personalized consulting service, including experimental design, data analysis and results interpretation.

The analysis includes:

  • Quality control of the sequences.
  • De novo assembly (optional).
  • Alignment of reads to reference sequences.
  • Quantification of the gene expression.
  • Differential expression analysis between samples.
  • Gene ontologies and pathways enrichment.
  • Study of isoforms generated in alternative splicing events *.
  • Analysis of gene fusions *.
  • Detection of quality variants (SNVs and InDels) and filtering of common*.
  • Identification of other RNAs (smallRNAs and ncRNA) *.

*When the experiment design and the depth of coverage allow it.

Results

For the advanced review of results, a detailed report is delivered through our web application genome one reports. Data are shown in easily interpretable tables and graphs that can be exported in suitable formats for scientific publications.

You will have access to:

  • Quality control of the sequences .
  • Sample correlation and differential expression analysis (PCA Plot, Adjusted p-value histogram, MA plot, Volcano Plot, Heatmap, Correlation Heatmap).
  • Pathway enrichment and Gene Ontologies (KEGG, GO-MF, GO-CC AND GO-BP).

In addition, it is possible to integrate results from different transcriptomic analysis (mRNAs, miRNAs, lncRNAs, etc).

Transcriptomic Analysis

Transcriptomics analysis allows the quantification of gene expression through the use of NGS platforms. The interpretation of the data obtained with this technology has become an increasingly demanded service due to its sensitivity and accuracy.

The analysis includes:

  • Quality control of the sequences.
  • De novo assembly (optional).
  • Alignment of reads to reference sequences.
  • Quantification of the gene expression.
  • Differential expression analysis between samples.
  • Gene ontologies and pathways enrichment.
  • Study of isoforms generated in alternative splicing events *.
  • Analysis of gene fusions *.
  • Detection of quality variants (SNVs and InDels) and filtering of common*.
  • Identification of other RNAs (smallRNAs and ncRNA) *.

*When the experiment design and the depth of coverage allow it.

Results

For the advanced review of results, a detailed report is delivered through our web application genome one reports. Data are shown in easily interpretable tables and graphs that can be exported in suitable formats for scientific publications.

You will have access to:

  • Quality control of the sequences .
  • Sample correlation and differential expression analysis (PCA Plot, Adjusted p-value histogram, MA plot, Volcano Plot, Heatmap, Correlation Heatmap).
  • Pathway enrichment and Gene Ontologies (KEGG, GO-MF, GO-CC AND GO-BP).

In addition, it is possible to integrate results from different transcriptomic analysis (mRNAs, miRNAs, lncRNAs, etc).

Any question?

We are at your complete disposal to resolve any questions you may have.

Please, get in touch via the attached form or call us at the following phone number.