title: FANTOM: Functional and taxonomic analysis of metagenomes.
abstract: 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.
authors: Department of Chemical and Biological Engineering, Chalmers University of Technology, Kemivägen 10, Gothenburg SE 412 96, Sweden.
authors: Kemal
authors: K
authors: Sanli
authors: Fredrik H
authors: FH
authors: Karlsson
authors: Intawat
authors: I
authors: Nookaew
authors: Jens
authors: J
authors: Nielsen
mesh_terms: D001419:Bacteria / Q000145:classification / Q000235:genetics; D002965:Classification / Q000379:methods; D016208:Databases, Factual; D030541:Databases, Genetic; D006801:Humans; D015212:Inflammatory Bowel Diseases / Q000382:microbiology; D054892:Metagenome; D056186:Metagenomics / Q000379:methods*; D009765:Obesity / Q000382:microbiology; D012984:Software
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