Archive Page: GAZE

Archive Page: GAZE


Archive page. This resource is no longer available at the Sanger Institute.


GAZE is a tool for the integration of gene prediction signal and content sensor information into complete gene structures.

It is completely configurable in the way that both the signal and content data themselves and the the model of gene structure against which assemblies are validated and scored, are external to the system and and supplied by the user.


The source-code for GAZE is available on Github at:


Please contact Kevin Howe for further assistance.

Tool Type