An application of statistics to comparative metagenomics.

ABSTRACT:

Background

Metagenomics, sequence analyses of genomic DNA isolated directly from the environments, can be used to identify organisms and model community dynamics of a particular ecosystem. Metagenomics also has the potential to identify significantly different metabolic potential in different environments.

Results

Here we use a statistical method to compare curated subsystems, to predict the physiology, metabolism, and ecology from metagenomes. This approach can be used to identify those subsystems that are significantly different between metagenome sequences. Subsystems that were overrepresented in the Sargasso Sea and Acid Mine Drainage metagenome when compared to non-redundant databases were identified.

Conclusion

The methodology described herein applies statistics

SUBMITTER: Rodriguez-Brito B 

PROVIDER: S-EPMC1473205 | biostudies-literature | 2006 Mar

REPOSITORIES: biostudies-literature