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Transcriptome Analysis
RNA sequencing is a powerful and cost-effective tool to analyze a whole transcriptome of any species. Typically, NGS based RNA-seq can provide Digital gene expression analysis, gene annotation, functional prediction, SNP and molecular marker development. In standard RNA-seq protocol, random primers are used for cDNA synthsis after the fragmentation of mRNA. This approach is not able to discover anti-sense transcripts and novel non-coding RNAs, which are important for operons characterization and gene regulation network study.
Bioinformatics analysis
Technical Workflow
De novo transcriptome analysis
1) Sequencing data statistics
2) contig and unigene statistics
3) Functional annotation for Unigene
4) SNPs and SSR analysis
5) Analysis of differential gene expression
Sample Requirement
Transcriptome analysis with a reference genome
1) Sequencing data statistics
2) Reads mapping to reference genome
3) Genome functional annotation
4) Gene structure refinement
5) Alternative splicing detection
6) Novel transc
Quantity: ≥ 20 µg total RNA, ≥ 5 µg mRNA, or ≥ 2 µg cDNA
Quality: OD260/OD280 = 1.8-2.0; RIN ≥ 7.0
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