Transcriptomic Analysis

Transcriptomic Analysis

Transcriptomic analyses allow the 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 analysis service includes:

  • Sequence quality control.
  • Alignment of reads against reference sequences.
  • Quantification of sample gene expression.
  • Analysis of differential gene expression between different samples.
  • Enrichment study of gene ontologies and pathways.
  • Study of isoforms generated in alternative splicing events*.
  • Detection of quality variants (SNVs and InDels) and filtering of common variants in the population*.
  • Identification of other RNAs (small RNAs and ncRNAs)*.
*Where experimental design and coverage permit.

Results visualisation

Results are delivered through our web platform Genome one Reports. Information is represented in interactive tables and graphs that can be easily interpreted and exported in formats suitable for use in scientific publications.

 

Through Genome one Reports you will have access to:

 

  • 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
    • GO-BP

In addition, we offer the possibility of integrating results from different transcriptomic analyses (mRNAs, miRNAs, lncRNAs, etc.).

Example of visualisation of the results using our Genome one Reports platform.

RNA-Seq will be of great help in clinical practice

Although RNA-Seq analysis is not yet being used systematically in clinical practice, data from the study of the transcriptome in different tissues can facilitate the identification of variants, genes, metabolic pathways and signalling cascades involved in different pathologies.

RNA-Seq will be of great help in clinical practice

Although RNA-Seq analysis is not yet being used systematically in clinical practice, data from the study of the transcriptome in different tissues can facilitate the identification of variants, genes, metabolic pathways and signalling cascades involved in different pathologies.

White Paper

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