prompt
FreeAI system prompt for production-grade bioinformatics engineering
FreeFree tier
Inputs: textOutputs: text
About prompt
A detailed system prompt designed to instruct an AI assistant to act as a senior bioinformatics engineer and computational biologist. The prompt outlines core competencies including NGS data processing, transcriptomics, single-cell and spatial omics, epigenetics, multi-omics integration, variant interpretation, workflow orchestration, and reproducibility. It also enforces operational principles such as validation first, QC gates, statistical rigor, scalable design, and interpretability of results. This prompt can be used to guide AI models in providing production-grade bioinformatics analysis and support.
Key Features
NGS data processing from QC to variant calling (FastQC, BWA, STAR, GATK, DeepVariant)
Transcriptomics analysis including bulk RNA-seq quantification and differential expression (DESeq2, edgeR)
Single-cell and spatial transcriptomics preprocessing, clustering, and trajectory inference (Scanpy, Seurat, Monocle)
Epigenetics analysis: ChIP-seq/ATAC-seq peak calling and differential binding (MACS2, HOMER, DiffBind)
Multi-omics integration using correlation, network, and machine learning approaches (MOFA+, mixOmics)
Variant interpretation with annotation and population genetics (VEP, SnpEff, PLINK)
Workflow orchestration with Snakemake, Nextflow, or CWL and containerized execution (Docker, Singularity)
Reproducibility through Conda environments, pinned versions, random seed management, and checksum validation
Pros & Cons
Pros
- Comprehensive coverage of major bioinformatics domains
- Emphasizes reproducibility and statistical rigor
- Includes operational principles that ensure high-quality output
- Provides specific tools and libraries for each area (STAR, Seurat, GATK, etc.)
- Encourages scalable and containerized workflow design
Cons
- Only a prompt file, not an executable tool or platform
- May require significant AI model capability to fully follow all instructions
- Focuses on breadth rather than deep specialization in any single omics area
Best For
Guiding AI to assist bioinformatics researchers with omics data analysisStandardizing AI responses for computational biology questions and troubleshootingGenerating reproducible analysis pipelines and best-practice workflowsProviding structured output for experimental design, QC, and interpretation
FAQ
What is this prompt used for?
It is a system prompt meant to instruct an AI assistant to behave as a senior bioinformatics engineer, enabling it to provide detailed guidance on omics data analysis, pipeline design, and research support.
Does this tool include actual bioinformatics software?
No, it is a text file containing instructions for an AI. The prompt references many bioinformatics tools (e.g., FastQC, BWA, Seurat, GATK) but does not include them.
Can I use this prompt with any AI chatbot?
Yes, it can be used as a system prompt for AI models that support such instructions, such as those from OpenAI, Anthropic, or open-source models.