Prompt lesson · 19 prompts
Microbial Genome Analysis prompts for Microbiologists
19 ready-to-use prompts from our AI for Microbiologists course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Gene Prediction Pipeline
Use this when you need to predict gene locations, structures, and regulatory elements in microbial genomes, optionally integrating RNA-seq data.
Role You are a bioinformatics specialist in gene prediction, optimizing for accurate identification of gene structures and regulatory elements in microbial genomes.
Context you provide
- {{genome_sequence}}: Microbial genome sequence or organism name.
- {{rna_seq_data}}: (Optional) RNA-seq data for integration.
- {{comparison_database}}: (Optional) Gene database for comparison.
Instructions
- Ask for missing inputs before proceeding.
- Analyze the genome sequence to predict gene locations and structures, considering codon usage and open reading frames.
- Identify potential promoter regions and regulatory elements.
- If RNA-seq data is provided, integrate it to refine gene structure predictions and identify potential isoforms.
- If a comparison database is given, compare with established genes to predict novel genes.
Output format Provide a detailed report with predicted gene coordinates, structures, and confidence scores. Include a section on regulatory elements and a summary of novel genes if applicable.
Guardrails
- Do not present predictions as definitive; include confidence levels.
- Flag any assumptions about the data.
- Stay focused on gene prediction; avoid functional annotation unless requested.
Example {{genome_sequence}} = Mycobacterium tuberculosis H37Rv, {{rna_seq_data}} = provided in file, {{comparison_database}} = NCBI RefSeq
Open this prompt Analysis · Advanced
Comparative Genomics Analysis
Use this when you need to compare microbial genomes to identify evolutionary relationships, metabolic differences, or antibiotic resistance genes.
Role You are a bioinformatics analyst specializing in comparative genomics, optimizing for accurate identification of genetic similarities, differences, and evolutionary insights.
Context you provide
- {{microorganism1}}: Name or genome sequence of the first microorganism.
- {{microorganism2}}: Name or genome sequence of the second microorganism.
- {{analysis_focus}}: Specific aspect to compare (e.g., evolutionary markers, metabolic genes, antibiotic resistance).
Instructions
- If any required context is missing, ask for it before proceeding.
- Retrieve or use provided genome sequences for both microorganisms.
- Perform a comparative analysis focusing on the specified aspect, using standard bioinformatics methods (e.g., sequence alignment, phylogenetic inference, gene content comparison).
- Highlight common genetic markers indicating evolutionary relationships, unique elements contributing to metabolic differences, or antibiotic resistance genes as relevant.
- Summarize findings with implications for the research question.
Output format Provide a structured report with sections: Overview, Methodology, Key Findings, and Implications. Use bullet points for clarity, and keep the tone professional and concise.
Guardrails
- Do not invent genetic data; base analysis on provided sequences or clearly state assumptions.
- Flag any limitations in the data or methods used.
- Stay within the scope of comparative genomics; avoid unrelated biological speculation.
Example {{microorganism1}} = E. coli K-12, {{microorganism2}} = E. coli O157:H7, {{analysis_focus}} = antibiotic resistance genes
Open this prompt Analysis · Advanced
Functional Gene Annotation
Use this when you need to identify and annotate gene functions within microbial genomes, including conserved elements and uncharacterized genes.
Open this prompt Analysis · Advanced
Construct Phylogenetic Trees from Genomes
Use this when you need to analyze evolutionary relationships among microorganisms using genomic sequences.
Open this prompt Analysis · Advanced
Infer Microbial Evolutionary Relationships
Use this when you need to infer evolutionary relationships among microbial species from genetic data.
Open this prompt Analysis · Advanced
Analyze Microbial Communities in Metagenomes
Use this when you need to identify, compare, or functionally annotate microbial communities from environmental metagenomic samples.
Open this prompt Analysis · Advanced
Identify Virulence Genes in Pathogens
Use this when you need to identify genes and genomic elements associated with pathogen virulence.
Open this prompt Analysis · Advanced
Compare Microbial Genomes
Use this when you need to compare the genomes of different microbial species to identify genetic similarities and differences relevant to pathogenicity, adaptation, or other traits.
Open this prompt Analysis · Advanced
Process and Interpret Metagenomic Sequencing Data
Use this when you need to process, classify, and interpret metagenomic sequencing data to understand microbial community structure and interactions.
Open this prompt Analysis · Advanced
Genome Annotation and Insights
Use this when you need to annotate genes and functional elements in a microbial genome to understand biological significance, evolutionary history, and potential applications.
Open this prompt Analysis · Advanced
Functional Genomics Insights
Use this when you need to study gene and protein functions, interactions, and regulatory networks within microbial genomes.
Open this prompt Analysis · Advanced
Analyze Pathogen Genomes for Virulence
Use this when you need to analyze pathogen genomes to identify virulence factors and inform treatment strategies.
Open this prompt Analysis · Advanced
Identify Antibiotic Resistance Genes
Use this when you need to identify and analyze antibiotic resistance genes in microbial genomes to inform stewardship efforts.
Open this prompt Analysis · Advanced
Design CRISPR Genome Editing Experiments
Use this when you need to plan, design, or optimize CRISPR-based genome editing in microbial species.
Open this prompt Planning · Advanced
Design Microbial Strains for Biofuel and Bioremediation
Use this when you need to design or modify microbial genomes for specific functions like biofuel production or bioremediation.
Open this prompt Analysis · Advanced
Analyze Microbial Evolution Patterns
Use this when you need to analyze genetic changes and adaptations in microbial populations over time.
Open this prompt Analysis · Advanced
Track Disease Spread with Genomic Data
Use this when you need to analyze pathogen genomes to understand transmission dynamics and inform public health responses.
Open this prompt Analysis · Advanced
Assess Microbial Diversity Across Environments
Use this when you need to analyze genetic diversity of microbial communities from different environments, such as soil, marine, or human gut.
Open this prompt Analysis · Intermediate
Assemble Microbial Genomes from Sequencing Data
Use this when you need to reconstruct a complete microbial genome from DNA sequencing fragments.
Open this prompt Analysis · Advanced