Application Build: 246     Database Build: 2008-04

GoMiner™ is a tool for biological interpretation of 'omic' data – including data from gene expression microarrays. Omic experiments often generate lists of dozens or hundreds of genes that differ in expression between samples, raising the question

What does it all mean biologically?

To answer this question, GoMiner leverages the Gene Ontology (GO) to identify the biological processes, functions and components represented in these lists. Instead of analyzing microarray results with a gene-by-gene approach, GoMiner classifies the genes into biologically coherent categories and assesses these categories. The insights gained through GoMiner can generate hypotheses to guide additional research.

We have updated our Getting Started section with guidance on chosing between GoMiner and High-Throughput GoMiner

New Features Latest !!! Automatically create Clustered Image Maps (CIMs) from HTGM. Latest !!! We have updated the build of the GO database for HTGM and the Derby database download. New options for adjusting reports and calculations. Get faster performance more easily - Get a local GO database and GoMiner in a single download package We have updated our documentation to provide a guides on which GoMiner version and database configuration to use Other Recent GoMiner Highlights... To get started using GoMiner Choose the right GoMiner version for your situation Choose the right database configuration for your situation Read the instructions, and verify that your environment satisifes the system requirements For Classic or GUI GoMiner, download the program file, gominer.jar or go to the High-Throughput GoMiner web page. Read the Quick Start and try out the sample files You can also take a Powerpoint tour of the major features of GoMiner. (~1.5Mb)

GoMiner displays the genes within the framework of the Gene Ontology hierarchy in two ways In the form of a tree, similar to that in AmiGO In the form of a 'Directed Acyclic Graph' (DAG) Size of the box is propotional log n Click image to view screenshot The program also provides: Quantitative and statistical analysis Seamless integration with important public databases Click image to view screenshot

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GoMiner was originally developed jointly by the Genomics and Bioinformatics Group (GBG) of LMP, NCI, NIH and the Medical Informatics and Bioimaging group of BME, Georgia Tech/Emory University. It is now maintained and under continuing development by GBG.

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