Transcriptomic Data Analysis
SeqInsight provides Transcriptomic Data Analysis service. We can help you in solving 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.