Transcriptomic Data Analysis

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CD Genomics proprietary GenSeqTM Technology provides Transcriptomic Data Analysis service. We have extensive experience in helping solve a wide variety of bioinformatics problems.

The transcriptome is the complete set of transcripts in a cell, tissue, or whole organism, for a specific developmental stage or physiological condition. Transcriptomic Data Analysis involves characterization of all transcriptional activity (coding and non-coding), or a select subset of RNA transcripts within a given sample. The analysis of transcriptomes allows the identification of candidate genes and expressed markers associated with traits of interest. We offer the following genomic data analysis services:

Transcriptomic Data Analysis

Analysis Cases:

  • Total RNA-Seq (Whole Transcriptome) Sequencing Data Analysis
  • RNA-Seq (mRNA) Data Analysis
  • Small RNA Resequencing Data Analysis

With our de novo Sequencing Data Analysis service, we are able to provide:

  • Identification of the expressed genes
  • Identification of splicing variants
  • Determination of the gene structures
  • Quantification of absolute ;and relative gene expression levels
  • Relative expression of different alleles
  • SNP discovery and characterization
  • Differential expression analysis
  • Detection of post-transcriptional edits
  • De novo RNA sequencing
  • Identification of microRNAs including novel microRNAs
  • Gene Ontology (GO) enrichment analysis
  • Novel microRNA prediction
  • Expression quantitation of known and novel microRNA
  • Differential expression analysis of known and novel microRNA
  • Target gene prediction and network/pathway analysis

Analysis Cases:

For Research Use Only. Not for use in diagnostic procedures.
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