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:
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.