BGI’s RNA-Seq (Quantification) is used to reveal the presence and quantity of RNA in a biological sample under specific conditions. Compared to hybridization-based RNA quantification methods such as microarray analysis, sequencing-based transcriptome detection can quantify gene expression with low background, high accuracy and high levels of reproducibility within a large dynamic range. RNA-Seq (Quantification) allows the entire transcriptome to be surveyed in a very high-throughput and quantitative manner at single-base resolution.
We care for your samples from the start through to the result reporting. Highly experienced laboratory professionals follow strict quality procedures to ensure the integrity of your results.
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Sequencing Service Specification
BGI RNA-Seq (Quantification) Sequencing services can be executed with our proprietary nique DNBseq™ technology platform with the benefit of lower cost and turn-around-time.
Sample Preparation and Services
50bp single end sequencing
Raw data and bioinformatics analysis are available in standard file formats
Advanced and custom bioinformatics data analysis
Cloud-based data storage and delivery system
≥20 Million reads per sample recommended
Turn Around Time
DNBseq™ Platform: Typical 25 working days from sample QC acceptance to filtered raw data availability
Expedited services are available, contact your local BGI specialist for details
We can process your total RNA, blood, cell line, FFPE, fresh frozen tissue and single cell samples from a variety of species, with the following general requirements:
RNA Amount and Concentration
Minimum Sample Volume
m ≥ 1μg,concentration ≥ 20 ng/ μl
Low Input Samples
m ≥ 0.2μg,concentration ≥ 20 ng/ μl
In addition to clean data output, BGI offers a range of standard and customized bioinformatics pipelines for your RNA-Seq (Quantitation) Gene Expression Sequencing project.
Reports and output data files are delivered in industry standard FASTQ, BAM. Excel file formats with publication-ready tables and figures.
Assessment of sequencing statistics
Gene Expression annotation
Differential gene expression analysis
Identification of differentially expressed genes in sample groups
Expression pattern analysis
Gene Ontology enrichment analysis
Pathway enrichment analysis
Protein-protein interaction network analysis
Transcription factor analysis (for plants)
Condition specific expressed analysis
Gene Co-expression Network Analysis
Further customization of Bioinformatics analysis to suit your unique project is available: Please contact your BGI technical representative