Searching and working with omics data (protein, rna, dna) can be messy and tedious. Wet-lab researchers struggle because they have to wait for the internal bioinformatician to pre-process, clean the raw output. In my previous company we spend 4 months cleaning and preparing RWD just to find out that the quality is mediocre. I built Lobster, an open-core, modular agentic bioinformatics framework to work with on-premises datasets.
Main features:
- Iterative dataset search
- Pre/processing, QC, Batch-correction
- Embedding training, clustering, visualization
Built so that adding new agents, tools, services and adapters can be done in less than 30 mins using coding agents.
Built so that adding new agents, tools, services and adapters can be done in less than 30 mins using coding agents.
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