GCUA:General Codon Usage Analysis Gene analysis made easy.
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GCUA:General Codon Usage Analysis Ranking & Summary

GCUA:General Codon Usage Analysis Tags

analyzer Analyze evaluate gene sort gene analyze gene set find gene set gene analysis extract gene subset gene subset searcher grab gene subset view gene data display gene data microarray gene analysis gene expression analysis gene correlation correlate gene analyze gene gene organization gene visualization compare gene gene comparer gene pattern candidate gene simulate gene mutation gene adjacency gene annotation gene-reaction-protein network Gene Ontology database Gene Ontology gene network generator gene information gene product association gene identifiers translator gene identification gene match gene mapper compare gene order gene content derived protein-coding gene analysis analyze protein-coding gene evaluating codon usage gene selection gene sequence viewer ancestral gene cluster ancestral gene gene cluster gene data analysis analyze gene markers gene transfer simulate gene network growing gene duplication gene frequency data analysis estimate gene diversities test gene diversities Gene Diversity Gene Sequence gene-gene interaction Gene Sequence Name gene clusters reliability modifier gene analysis map disease gene disease gene mapper visualize gene explore gene view gene gene expression data analysis

GCUA:General Codon Usage Analysis Description

GCUA:General Codon Usage Analysis is a handy, easy to use, Java based application specially designed to perform various tasks that are of use for evaluating codon usage in a set of genes. You can get it to do some simple things like calculate the number of observations of a particular codon in a gene. Or you can do the same thing for the combined dataset. You can also look at amino acid usage frequencies (again for each gene or for the dataset as a whole). The program also produces a distance matrix based on the similarity of codon usage in genes. However, the most important feature of the program is its ability to use multivariate analysis to look at variation in codon usage amongst genes. Although it is popular to say that an organism has a particular codon usage, it is now known that an organisms genes might have more than one codon usage pattern and it is usually only by using a multivariate analysis method that it is possible to ascertain the kinds of variation contained within the data.

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