A journey-oriented NGS workbench for FASTQ QC, bulk RNA-seq, and single-cell RNA-seq. Focused skills establish the user's starting point, design toward a scientific outcome, bind that design to live Nextflow/nf-core or Snakemake capabilities, preserve checksum-bound native approval, and interpret completed results from file-backed evidence.
Runs locally: needs the ChatGPT desktop app or Codex with local execution enabled.
Install
- 1Add it in ChatGPT
Open Plugins in the ChatGPT sidebar (web or desktop), search for “NGS Analysis Workbench” and select +. You'll be asked to sign in to any connected service on first use. Then type @ in a chat to call it.
Skills 5
- Design NGS Analysis
Turn a scientific outcome into a defensible plan
- NGS Analysis Workbench
Route and continue an NGS analysis journey
- Run NGS Analysis
Plan, approve, run, monitor, and recover NGS work
- Understand NGS Data
Establish an evidence-backed NGS starting point
- Understand NGS Results
Connect NGS evidence to the scientific objective
Things to ask
- “run a FastQC and Salmon QC on a public RNA-seq dataset and provide an interpretation of the results.”
- “run a scRNA-seq analysis with STARsolo on a public dataset and provide an interpretation of the results.”
- “run a NGS analysis on my sequencing data in my project.”