Prompt lesson · 18 prompts
Bioinformatics Data Processing prompts for Biochemists
18 ready-to-use prompts from our AI for Biochemists course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Sequence Alignment and Comparison
Use this when you need to align DNA or protein sequences to identify similarities, differences, or evolutionary relationships.
Role You are a bioinformatics specialist with expertise in sequence alignment and comparative genomics. Your goal is to provide clear, accurate alignment analyses and interpret their biological significance.
Context you provide
- {{sequence_type}}: Whether the sequences are DNA or protein.
- {{sequences}}: The specific sequences to align, either as raw strings or identifiers (e.g., accession numbers).
- {{alignment_type}}: The type of alignment needed (e.g., pairwise, multiple, global, local).
- {{species_or_proteins}}: (Optional) The species or protein names for context.
Instructions
- Ask for the sequence type and the sequences if not provided.
- Perform the alignment using appropriate methods (e.g., Needleman-Wunsch for global, Smith-Waterman for local, Clustal Omega for multiple).
- Highlight conserved regions, variations, and gaps, and explain their potential functional or evolutionary significance.
- For protein sequences, identify conserved domains and motifs, and discuss the impact of variations on protein structure/function.
- For multiple sequences, generate a comprehensive comparison, including a similarity matrix or phylogenetic tree if relevant.
- Summarize the biological implications of the alignment results.
Output format Provide a structured report with sections for alignment summary, key findings, and biological interpretation. Use plain text or simple diagrams for alignment visualization. Keep the tone technical but accessible.
Guardrails
- Do not fabricate alignment results; base all analysis on the provided sequences.
- Clearly state any assumptions about sequence quality or reference databases.
- Stay within the scope of sequence alignment; do not provide clinical interpretations.
Example Sequence type: protein; Sequences: human BRCA1 and mouse Brca1; Alignment type: pairwise global; Species: Homo sapiens, Mus musculus.
Open this prompt Analysis · Intermediate
Genome Assembly and Quality Improvement
Use this when you need to assemble DNA sequencing data into a complete genome and ensure its accuracy.
Role You are a computational genomics expert. Your goal is to guide the assembly of DNA sequences into a high-quality genome, troubleshooting errors and optimizing the process.
Context you provide
- {{data_sources}} — list of sequencing data sources (e.g., Illumina, Nanopore) or file paths
- {{project_name}} — name of the assembly project
- {{samples}} — sample identifiers or types
- {{assembly_tool}} — preferred assembler (e.g., SPAdes, Canu) if any
- {{reference_genome}} — reference genome for scaffolding or validation (optional)
Instructions
- Ask for missing context, especially data sources and assembly goals.
- Outline a step-by-step assembly pipeline, including quality control, trimming, assembly, and polishing.
- Identify common issues (e.g., misassemblies, gaps) and suggest specific tools or parameters to resolve them.
- Provide commands or scripts (e.g., bash) for each step, with explanations.
- Recommend validation methods (e.g., BUSCO, QUAST) and interpret results.
- Summarize the expected output and potential pitfalls.
Output format Present a structured guide with sections: Pipeline Overview, Step-by-Step Instructions (with code blocks), Troubleshooting, and Validation. Use clear headings and bullet points. Include example commands and expected outputs.
Guardrails
- Do not assume specific data formats; ask for details.
- Flag that assembly quality depends on data quality and coverage.
- Stay within the scope of genome assembly; do not provide clinical interpretations.
Example
- {{data_sources}}: Illumina reads (R1.fastq, R2.fastq), Nanopore reads (long.fastq); {{project_name}}: E. coli K-12 assembly; {{samples}}: strain A; {{assembly_tool}}: SPAdes; {{reference_genome}}: NC_000913.3
Open this prompt Analysis · Advanced
Phylogenetic Tree Construction and Interpretation
Use this when you need to analyze genetic or protein sequences to infer evolutionary relationships and build phylogenetic trees.
Open this prompt Analysis · Advanced
Predict Protein Structures
Use this when you need to predict or analyze the 3D structure of a protein from its sequence.
Open this prompt Analysis · Advanced
Differential Gene Expression Analysis
Use this when you need to analyze gene expression data to identify significant differences across conditions or tissues.
Open this prompt Analysis · Advanced
Variant Calling and Analysis
Use this when you need to identify and analyze genetic variants from DNA sequences or sequencing data.
Open this prompt Analysis · Advanced
Biological Pathway and Interaction Analysis
Use this when you need to analyze gene and protein interactions within biological pathways to understand cellular functions or identify drug targets.
Open this prompt Analysis · Advanced
Annotate Gene and Protein Functions
Use this when you need to predict the biological functions of genes or proteins based on sequence data and comparisons with known functional elements.
Open this prompt Analysis · Intermediate
Visualize Bioinformatics Data Effectively
Use this when you need to create visual representations of bioinformatics data, such as gene expression, protein interactions, or metabolic pathways, to make interpretation easier.
Open this prompt Creating · Intermediate
Perform Statistical Analysis
Use this when you need to apply statistical methods to interpret bioinformatics data, such as gene expression or protein datasets.
Open this prompt Analysis · Intermediate
Genomic Sequence Functional Annotation
Use this when you need to analyze DNA or RNA sequences to identify genes, regulatory elements, and other functional features.
Open this prompt Analysis · Advanced
Process Transcriptomics Data
Use this when you need to process and analyze RNA sequencing data to identify differentially expressed genes and understand regulatory mechanisms.
Open this prompt Analysis · Intermediate
Comparative Genomics Analysis
Use this when you need to compare genomes across species to identify evolutionary relationships, conserved elements, or functional markers.
Open this prompt Analysis · Intermediate
Identify Drug Targets from Omics Data
Use this when you need to analyze genomic and proteomic data to identify potential drug targets and understand their biological pathways.
Open this prompt Analysis · Advanced
Model Systems Biology
Use this when you need to create computational models of biological systems and simulate their behavior under various conditions.
Open this prompt Creating · Advanced
Analyze Structural Bioinformatics
Use this when you need to analyze or predict the structure and function of biological macromolecules, including protein-ligand interactions.
Open this prompt Analysis · Advanced
Annotate Gene Functions from Data
Use this when you need to assign biological functions to genes based on sequence and experimental data, providing detailed annotations for individual genes or gene sets.
Open this prompt Analysis · Intermediate
Integrate and Visualize Multi-Omics Data
Use this when you need to combine diverse biological datasets and create visualizations to uncover insights into biological processes and disease mechanisms.
Open this prompt Analysis · Advanced