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

Cristian I Castillo-Davis; Daniel L Hartl

doi:10.1093/bioinformatics/btg114

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

Bioinformatics. 2003 May 1;19(7):891-2. doi: 10.1093/bioinformatics/btg114.

Authors

Cristian I Castillo-Davis¹, Daniel L Hartl

Affiliation

¹ Department of Organismic and Evolutionary Biology, Harvard University, Biological Laboratories, 16 Divinity Avenue, Cambridge, MA 02138, USA. ccastillo-davis@oeb.harvard.edu

PMID: 12724301
DOI: 10.1093/bioinformatics/btg114

Abstract

Summary: GeneMerge is a web-based and standalone program written in PERL that returns a range of functional and genomic data for a given set of study genes and provides statistical rank scores for over-representation of particular functions or categories in the data set. Functional or categorical data of all kinds can be analyzed with GeneMerge, facilitating regulatory and metabolic pathway analysis, tests of population genetic hypotheses, cross-experiment comparisons, and tests of chromosomal clustering, among others. GeneMerge can perform analyses on a wide variety of genomic data quickly and easily and facilitates both data mining and hypothesis testing.

Availability: GeneMerge is available free of charge for academic use over the web and for download from: http://www.oeb.harvard.edu/hartl/lab/publications/GeneMerge.html.

MeSH terms

Algorithms*
Database Management Systems*
Gene Expression Profiling / methods*
Genetics, Population
Genome*
Information Storage and Retrieval / methods*
Models, Genetic
Models, Statistical
Sequence Alignment / methods*
Sequence Analysis, DNA / methods*
Software