Transcriptomic Data Analysis

CD Genomics proprietary GenSeq^TM 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:

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: