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Updated: May 14, 2026

Metagenomic Analysis of Silage
Published on: January 13, 2017
FANTOM: Functional and taxonomic analysis of metagenomes
Kemal Sanli1, Fredrik H Karlsson, Intawat Nookaew
1Department of Chemical and Biological Engineering, Chalmers University of Technology, Kemivägen 10, Gothenburg SE 412 96, Sweden.
Background:
Interpretation of quantitative metagenomics data is important for our understanding of ecosystem functioning and assessing differences between various environmental samples. There is a need for an easy to use tool to explore the often complex metagenomics data in taxonomic and functional context.
Results:
Here we introduce FANTOM, a tool that allows for exploratory and comparative analysis of metagenomics abundance data integrated with metadata information and biological databases. Importantly, FANTOM can make use of any hierarchical database and it comes supplied with NCBI taxonomic hierarchies as well as KEGG Orthology, COG, PFAM and TIGRFAM databases.
Conclusions:
The software is implemented in Python, is platform independent, and is available at http://www.sysbio.se/Fantom.
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