Gene Cluster prediction is a fast and scalable method for identifying putative novel Biosynthetic Gene Clusters (BGCs) in genomic and metagenomic data using Conditional Random Fields (CRFs).

GECCO BGC Analysis

Task ID: ${taskId}
Predicted Clusters: ${data.clusters ? data.clusters.length : 'N/A (or 0)'}
Output Files Generated: ${data.outputFiles ? data.outputFiles.length : 0}

Upload Genome Sequence File Supported formats: FASTA, GenBank, EMBL (e.g., .fna, .gbk). Max file size: 30GB.

BGC Detection Sensitivity (Probability Threshold)

Default: 0.8. Recommended range: 0.5 - 0.95.

Minimum Genes per Cluster Default: 3. Must be a positive integer.