GECCO is a fast and scalable method for identifying putative novel Biosynthetic Gene Clusters (BGCs) in genomic and metagenomic data using Conditional Random Fields (CRFs). It is developed in the Zeller group and is part of the suite of computational microbiome analysis tools hosted at EMBL. |
hg clone https://toolshed.g2.bx.psu.edu/repos/althonos/gecco
Name | Description | Version | Minimum Galaxy Version |
---|---|---|---|
is a fast and scalable method for identifying putative novel Biosynthetic Gene Clusters (BGCs) in genomic and metagenomic data using Conditional Random Fields (CRFs). | 0.8.5 | 16.01 |