RNA-seq.
Generate reliable gene expression data for pilots, validation runs, and full transcriptome studies without waiting for a large batch sequencing slot.
Read-depth planning
Scope transcriptome sequencing by the reads your experiment needs, useful for pilot studies, quick checks, and focused expression questions.
Sensitive transcript detection
Optimized protocols capture both abundant and low-abundance transcripts, supporting profiles from challenging or limited samples.
Differential expression analysis
Identify expression changes between conditions with robust bioinformatics support, pathway analysis, and functional annotation.
Batch-free convenience
Move smaller projects forward without waiting for enough samples to fill a conventional sequencing batch.
Whole-transcriptome coverage without core-facility drag.
The standard bulk RNA-seq workflow can include RNA extraction, PE150 sequencing, and basic analysis. Flexible read tiers let you right-size the project.
Target reads instead of lane commitments
Tell us the read depth your experiment needs per sample. We scope the run around that data amount and biological question, so small studies do not have to buy a full lane or more sequencing than they need.
QC-first execution
Track RNA quality, library metrics, mapping summaries, and sample-level flags before interpretation.
Analysis-ready tables
Receive gene-level outputs, differential expression support, and pathway-ready summaries.
Clear applications for research teams.
Pilot studies
Screen sample quality and expression signal before committing to a larger design.
Drug response
Quantify transcriptional response signatures and pathway-level perturbations.
Small cohorts
Run targeted comparisons when the sample count or budget does not fit a large batch.