LobsterBio - Usev1.0.1

Researchers analyzing single-cell RNA-seq data from immune cells to identify novel cell subtypes and their marker genes. They use Lobster to download datasets from GEO, perform quality control, cluster cells, and generate UMAP visualizations for publication.

Biotech companies conducting bulk RNA-seq analysis to compare gene expression between treated and control samples in drug screening. Lobster helps run differential expression analysis, create volcano plots, and mine literature for related studies to support target validation.

Diagnostic labs using Lobster to process single-cell data from patient samples for biomarker discovery. They perform clustering to identify disease-associated cell populations, export results to CSV for further analysis, and ensure reproducibility with session continuity features.

Core facilities assisting multiple research groups with RNA-seq data analysis. Lobster streamlines workflows by allowing natural language queries for tasks like quality control, visualization, and dataset discovery, reducing the need for custom scripting and speeding up turnaround times.

Offer Lobster as a cloud-based platform with tiered subscriptions for individual researchers, labs, or institutions. Revenue comes from monthly or annual fees, with higher tiers providing advanced features like priority support, increased storage, and access to alpha agents like proteomics and genomics.

Sell annual enterprise licenses to pharmaceutical companies, large hospitals, or academic consortia. This includes custom integrations, dedicated training, and support for high-throughput analysis, generating revenue through upfront licensing fees and optional maintenance contracts.

Provide a free basic version of Lobster for individual use, with limited agents and storage. Monetize by offering premium add-ons such as advanced visualization tools, additional agent packages (e.g., proteomics), and enhanced cloud storage, driving revenue from one-time purchases or microtransactions.