HyenaDNA long-context genomic foundation model workflows for sequence classification, embedding extraction, and long-range regulatory analysis. Includes checkpoint selection by context window (1k to 1
Use with AI
Install the MCP server or CLI to instantly fetch Hyenadna documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/hyenadna
CD-HIT — fast sequence clustering and redundancy reduction for protein and nucleotide sequences. Clusters FASTA sequences at a user-defined identity threshold to remove redundancy from databases. Prov
2 shared topics
Evo — genomic foundation model for DNA sequence modeling at single-nucleotide resolution. Uses StripedHyena architecture (7B parameters) trained on 2.7M prokaryotic and phage genomes (OpenGenome datas
2 shared topics
GATK VQSR (Variant Quality Score Recalibration) — machine learning-based variant filtering for GATK Best Practices germline pipelines. Trains a Gaussian mixture model on truth/training resource datase
2 shared topics
Geneformer — transformer-based foundation model pretrained on ~30 million single-cell transcriptomes for context-specific gene network analysis. Supports fine-tuning for cell type classification, gene
2 shared topics
Herro — haplotype-aware error correction for Oxford Nanopore long reads using deep learning. Corrects ONT simplex reads to Q30+ accuracy while preserving haplotype information for diploid assembly. Us
2 shared topics