Best Grok prompts for Microbiologists

Given a dataset of 16S rRNA gene sequences from a soil sample, identify the top 5 most abundant taxa and their corresponding relative abundances. Then, use a machine learning algorithm to predict the metabolic functions of these taxa and generate a heatmap showing the distribution of these functions across the sample. Finally, write a brief summary of the results, including any notable patterns or correlations.

Using a dataset of optical density readings from a bacterial growth curve experiment, fit a logistic growth model to the data and estimate the maximum growth rate, carrying capacity, and lag time. Then, use the model to predict the growth curve of a hypothetical mutant strain with a 20% increase in growth rate and generate a plot comparing the predicted growth curves of the wild-type and mutant strains. Finally, calculate the area under the curve for each strain and write a brief report on the results.

Given a dataset of whole-genome sequences from a collection of clinical isolates, use a bioinformatic pipeline to identify the presence and abundance of antibiotic resistance genes. Then, generate a table showing the distribution of these genes across the isolates and write a brief summary of the results, including any notable patterns or correlations. Finally, use a machine learning algorithm to predict the likelihood of resistance to a given antibiotic based on the presence and abundance of these genes.

Using a dataset of batch culture experiments with varying conditions (e.g. temperature, pH, nutrient concentrations), use a statistical model to identify the most important factors influencing cell growth and productivity. Then, generate a response surface plot showing the predicted cell growth and productivity as a function of these factors and write a brief report on the results, including any recommendations for optimizing batch culture conditions. Finally, use the model to predict the optimal conditions for a hypothetical new batch culture experiment and generate a table showing the predicted outcomes.