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:
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Total RNA-Seq (Whole Transcriptome) Sequencing Data Analysis
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RNA-Seq (mRNA) Data Analysis
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Small RNA Resequencing Data Analysis
With our de novo Sequencing Data Analysis service, we are able to provide:
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Identification of the expressed genes
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Identification of splicing variants
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Determination of the gene structures
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Quantification of absolute ;and relative gene expression levels
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Relative expression of different alleles
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SNP discovery and characterization
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Differential expression analysis
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Detection of post-transcriptional edits
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De novo RNA sequencing
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Identification of microRNAs including novel microRNAs
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Gene Ontology (GO) enrichment analysis
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Novel microRNA prediction
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Expression quantitation of known and novel microRNA
- Differential expression analysis of known and novel microRNA
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Target gene prediction and network/pathway analysis
Analysis Cases:
For Research Use Only. Not for use in diagnostic procedures.
