Best Gemini prompts for Biological Technicians

I have a dataset of genomic sequences from a recent experiment and I need to identify any significant variations between the control and treatment groups. Using the Google Genomics API, can you help me design a workflow to align the sequences, call variants, and perform a statistical analysis to determine the significance of the results? I have 100 samples, each with 10 million reads, and I want to use a combination of BWA and GATK for alignment and variant calling. Provide a step-by-step guide on how to implement this workflow and interpret the results.

I am trying to optimize the cell culture conditions for a specific cell line and I need to analyze the effects of different media compositions on cell growth and viability. Using Google Sheets, can you help me design an experiment to test the effects of varying glucose and glutamine concentrations on cell growth, and then analyze the results using linear regression and statistical modeling? I have 20 different media compositions to test, and I want to use a 96-well plate format. Provide a detailed protocol for setting up the experiment, collecting data, and analyzing the results.

I have a microarray dataset from a gene expression study and I need to identify any differentially expressed genes between the control and treatment groups. Using the Google Cloud Platform, can you help me design a workflow to preprocess the data, perform differential expression analysis, and visualize the results using heatmaps and volcano plots? I have 10,000 probes to analyze, and I want to use a combination of R and Bioconductor for data analysis. Provide a step-by-step guide on how to implement this workflow and interpret the results.

I am trying to automate our lab's workflow for processing and analyzing sequencing data, and I need to design a pipeline that integrates with our existing LIMS system. Using Google Cloud Functions and Cloud Storage, can you help me design a workflow to automate the transfer of sequencing data from our sequencer to our analysis pipeline, and then trigger a series of analysis tasks using a combination of shell scripts and Python scripts? I have 100 GB of sequencing data to process, and I want to use a serverless architecture to minimize costs. Provide a detailed architecture diagram and implementation plan for this pipeline.