This page is about the previous version of Gecko developed by Thomas Schmidt.
Gecko is a tool for a systematic and efficient detection
of gene clusters in multiple prokaryotic genomes. It is based on a formal model for
gene clusters and is accompanied by an efficient algorithms locating them.
Gecko also provides an interactive visualization of
detected clusters and therefore supports the analysis of the functional role of
genes located in such clusters.
Downloads
The previous version of Gecko (1.x) is available on the downloadpage.
Example data files
ghostFamOutStandard.cog:
This file is an input sequence file for Gecko containing 5 genomes. The classification
of the genes to their families of homologs was done with GhostFam using the standard
parameters.
cog_data.zip:
The file in this archive contains an input sequence file for Gecko with 43 genomes. The
classification of the genes to their families of homologs is taken from the COG database.
