One major and chalenging goal in metagenomics is to identify specific functional adaptations (signatures) of microbial communities to their habitats. Here we describe a powerful analytical method - MetaPath that can identify differentially abundant metabolic pathways in metagenomic datasets, relying on a combination of metagenomic sequence data and prior metabolic pathway knowledge (from KEGG).

The program is implemented in Perl. Download metaPathV0.83.tar.gz

In progress ...

Liu B, Pop M: Identifying Differentially Abundant Metabolic Pathways in Metagenomic Datasets. Lect Notes Comput Sci 2010, 6053: 101-112

- MetaPhyler: Estimate Bacterial Composition from Metagenomic Sequences
- Metastats: Statistical Methods for Metagenomics
- ARDB: Antibiotic Resistance Genes Database
- Tools developed in Dr. Mihai Pop's lab
- Tools developed in CBCB