Discovery engagement
RNA analysis
A structured computational analysis of RNA sequencing or expression data, from input review and quality assessment through statistical results and reproducible reporting.
01
Scientific problem
RNA datasets often reach a research team as counts, abundance estimates or processed expression tables without a clear path from the biological question to a defensible analysis.
02
Appropriate users
Academic laboratories, research institutes and biotechnology teams with a defined research question, documented study design and data they are authorised to share for analysis.
03
What ASR does
Scope the research question, contrasts, samples, covariates and available data; review file structure and metadata completeness; agreed quality assessment and exploratory analysis; agreed statistical workflow; results tables, selected visualisations and an interpretation meeting; analysis code/environment information and a technical report. Exclusions: No clinical diagnosis, patient-level decision support, regulatory submission, wet-lab validation, guaranteed biological discovery, or receipt of data through the public enquiry form.
04
Typical inputs
Count matrices or agreed abundance/expression tables; sample metadata; study design; organism and reference details; research question; prior processing documentation. Raw-read processing is not included unless explicitly scoped.
05
Outputs
Input and metadata review; quality-assessment summary; agreed statistical results and visualisations; reproducible analysis code and environment record; technical report; results review meeting.
06
Typical timeline
Defined after input and design review; no public range until ASR measures delivery
07
Engagement model
Project-based; retained support considered after initial scope