A comprehensive web-based tool for metabolomics data analysis, visualization and functional interpretation.

Genome Analysis Toolkit - a collection of command-line tools for analyzing high-throughput sequencing data.

Free and fast protein structure prediction accessible via Google Colab. Combines MMseqs2 for fast MSA generation with AlphaFold 2 or RoseTTAFold for prediction. No local GPU needed...

LLM benchmark and model for bioinformatics code generation. Tests AI ability to write correct bioinformatics pipelines across 253 real-world tasks spanning genomics, proteomics, an...

Automated machine learning system for biological sequence analysis from MIT. Automatically selects models, features, and hyperparameters for DNA, RNA, protein, and glycan sequence ...

Google's medical LLM reaching expert-level performance on medical licensing exams. Achieves 85%+ on MedQA. Demonstrates strong clinical reasoning and medical knowledge.

Teaching LLMs to use NCBI Web APIs for genomics tasks. Uses GPT-4 as backbone with tool-augmented prompting to query Gene, OMIM, and other NCBI databases. Pioneering example of bio...

Generative pre-trained transformer from Microsoft for biomedical text mining and generation. Pre-trained on 15 million PubMed abstracts. Strong on relation extraction, QA, and docu...

Open-source multimodal biomedical foundation model from Tsinghua AIR (China). BioMedGPT-R1 has 10B+ parameters, achieving 67.1% on USMLE. Supports molecular, protein, and text moda...

Large-scale cell language model that learns universal cell representations from tens of millions of cells. Supports zero-shot cell type annotation and cross-tissue transfer.