Best ChatGPT prompts for Biological Scientists, All Other

Design a genomic data integration pipeline using AWS services, incorporating data from various sources such as Illumina sequencing, PacBio, and Oxford Nanopore, ensuring data quality control, and applying variant calling using GATK and SAMtools, with a focus on optimizing latency and scalability, and provide a detailed architecture document outlining the pipeline's components, data flow, and potential bottlenecks, including a root cause analysis of potential issues and a deployment script for automated execution.

Given a dataset of experimental results showing inconsistent gene expression levels across different replicate samples, perform a root cause analysis to identify potential factors contributing to the variability, including instrument calibration, reagent quality, and operator bias, and provide a step-by-step guide on how to implement corrective actions, including a code review of the data analysis script and a revised version with improved error handling and data visualization, and a checklist for troubleshooting common issues in the experimental protocol.

Using CAD software, design a 3D model of a biological pathway of interest, incorporating kinetic parameters and molecular interactions, and simulate the dynamics of the pathway under different conditions, such as varying substrate concentrations and enzyme activities, and analyze the results to identify key regulatory nodes and potential targets for intervention, providing a detailed report on the modeling approach, simulation results, and implications for future experimental design, including a Jira ticket outlining the development workflow and a Git repository containing the model code and simulation data.

Develop a deployment script for a LIMS system, including setup of user accounts, configuration of data workflows, and integration with existing laboratory instruments and equipment, ensuring compliance with regulatory requirements and data security standards, and provide a detailed guide on how to perform routine maintenance tasks, such as data backups and software updates, and troubleshoot common issues, including a sprint velocity report outlining the development progress and a defect rate analysis of the system's performance, and an IDE configuration file for streamlined development and testing.