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Castillo-Davis, C.I. and D.L. Hartl 2003. Bioinformatics 19(7):891-892
Supplementary Information


Over 25,800 web-based analyses, 4025 downloads, 25 publications and counting.
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ARABIDOPSIS USERS PLEASE NOTE!
Synonyms for Arabidopsis have been significantly UPDATED correcting a problem that affected gene name conversion.
If you used the Gene Name Converter between April and October, 2007 with Arabidopsis
PLEASE CLICK HERE.
(October 15, 2007)


What is GeneMerge?

GeneMerge is a versatile genomics program that can be used to analyze a wide range of functional genomic data.
In particular GeneMerge is useful for the analysis of microarray data and other large biological datasets.

What can GeneMerge tell me?

GeneMerge returns functional and categorical genomic data for a given set of genes and provides statistical rank scores for over-representation of particular functions or categories in the dataset.

Regulatory and metabolic pathway analysis, tests of population genetic hypotheses, cross-experiment comparisons, and tests of chromosomal clustering, among others, are possible with GeneMerge.

Given a set of genes, GeneMerge can tell you, for example, whether these genes are statistically over-represented in a particular functional or biochemical class, clustered in a region of the genome, or are associated with a particular RNAi or deletion phenotype.

Why Use GeneMerge?

The big advantage of GeneMerge over other similar programs is that you are not limited to analyzing your data from the perspective of a pre-packaged set of gene-association data. You can download or create gene-association files to analyze your data from an unlimited number of perspectives. See the documentation to see how easy is it to make your own gene-association data.

Additionally:


Availability

GeneMerge is available free of charge for use online over the web as well as a stand-alone package under the GNU GPL.

Documentation

Details on how GeneMerge works are provided in Castillo-Davis, C.I. and D.L. Hartl 2003. Bioinformatics 19(7):891-892 and Castillo-Davis, C.I. and D.L. Hartl 2003. unpublished (long version with worked out examples).

Analysis of sample data sets and further information is available in the documentation.



GeneMerge - Post-genomic analysis, data mining, and hypothesis testing

Cristian I. Castillo-Davis
Department of Biology
University of Maryland
castill0@umd.edu

University of Maryland
castill0@umd.edu