Transcriptomics (RNA-Seq)

Key advantages

• Comprehensive gene expression profiling at single-gene or transcriptome-wide level

• Detects alternative splicing, fusion transcripts, and novel isoforms

• Supports differential expression analysis across conditions or tissues

• Applicable to human, animal, plant, and microbial transcriptomes

• Captures both coding and non-coding RNA species

• Reveals dynamic transcriptional responses to disease, treatment, or environment

• Enables biomarker discovery, pathway analysis, and functional genomics

• Supports single-sample, time series, or multi-condition experimental designs

Technical specifications

• Sequencing platforms: Illumina NovaSeq 6000, Illumina NovaSeq X Plus, MGI DNBSEQ-T7, and beyond

• Read length: Paired-end 100–150 bp

• Coverage recommendations: 20–100 million read pairs depending on organism and application

• Library preparation: Poly-A selection, rRNA depletion, total RNA, or small RNA

• Data outputs: FASTQ, gene/transcript counts, normalized expression matrices

• Bioinformatics pipeline: alignment, quantification, differential expression, gene set enrichment

• Optional analyses: fusion detection, transcript assembly, lncRNA and miRNA profiling

• Data delivery: annotated results and interactive expression plots

• QC metrics and reproducibility reports included for every dataset