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Repository gecco
Name: gecco
Owner: althonos
Synopsis: Biosynthetic Gene Cluster prediction with Conditional Random Fields with GECCO.
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.
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Contents of this repository

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). 0.9.6 16.01

Genome annotation - Tools for annotating genomic information
Metagenomics - Tools enabling the study of metagenomes
Sequence Analysis - Tools for performing Protein and DNA/RNA analysis